Interview questions may range from the basics of Spring Boot architecture to its integration with various databases and third-party libraries. Knowing how to efficiently work with Spring Boot’s auto-configuration and how to override it when necessary is a valuable skill. You’ll also likely be asked about your familiarity with building RESTful web services and your grasp on dependency injection, Spring Boot starters, and microservices.

As microservices and cloud-native applications become more prevalent, your ability to deploy and manage Spring Boot applications can set you apart. Being well-versed in handling production issues, performance tuning, and understanding best practices in Spring security will be crucial. Prepare to demonstrate your capability to navigate these topics with ease to show your prospective employers that you’re a strong candidate for their Spring Boot-centric projects.

Getting Started with Spring Boot

Spring Boot simplifies the development of Spring applications by providing defaults and conventions to build stand-alone, production-grade Spring-based applications quickly. The following key aspects will guide you in understanding the basics of Spring Boot.

Spring Framework vs. Spring Boot

Spring Framework is a powerful, longstanding Java EE framework that provides extensive infrastructure support for developing robust Java applications. Spring Boot, on the other hand, is built on top of the Spring Framework, offering a simpler way to get started. It automates much of the application configuration through its convention-over-configuration approach. While the Spring Framework delivers flexibility and power, Spring Boot is geared towards ease-of-use and rapid development, without the need for extensive XML configurations.

Key Features of Spring Boot

Spring Boot comes with several key features that make it a go-to choice:

• Auto-configuration: Spring Boot auto-detects and configures your application based on the jars you have on your classpath.
• Standalone: Spring Boot applications can be run “jar” or “war” without needing an external server.
• Production-ready: Provides built-in endpoints for monitoring and managing application health in production.

Spring Boot Starters

Spring Boot starters are a set of convenient dependency descriptors that you can include in your application. Each starter provides a comprehensive dependency set for a specific type of application. For example:

• spring-boot-starter-web: Starter for building web applications, including RESTful applications using Spring MVC.
• spring-boot-starter-data-jpa: Starter for using Spring Data JPA with Hibernate.

Spring Initializr and Project Setup

Spring Initializr is a web-based tool that allows you to create Spring Boot projects easily. You can use Spring Initializr to generate a Maven or Gradle-based project with Java, Kotlin, or Groovy and to manage dependencies such as Spring MVC. To start, navigate to the Spring Initializr website, choose your desired settings and dependencies, and download the project to start coding immediately. Spring Boot’s initial setup is geared towards simplicity, with maven or gradle scripts for easy build configuration and dependencies management.

Spring Boot Configuration and Usage

When working with Spring Boot, understanding how to configure and manage your application is crucial. The framework’s design allows you to get up and running quickly, but a in-depth knowledge of configuration options can help you fine-tune your application’s behavior.

Spring Boot Auto-Configuration

Spring Boot’s auto-configuration is a powerful feature that attempts to automatically configure your Spring application based on the jar dependencies that you have added. When you start a new project, this means basic setup is handled without the need to define every configuration manually. For instance, if Spring Boot detects spring-webmvc on your classpath, it automatically configures a web application. To control this behavior, you can use the @EnableAutoConfiguration or @SpringBootApplication annotations, alongside the exclude attribute to disable specific autoconfigurations.

Understanding Properties Files

Your application’s behavior can be customized using properties files. The most common of these is the application.properties file, typically placed in the src/main/resources directory. Properties files allow you to specify parameters that can be accessed throughout your application. For a more complex configuration structure or to override values based on the environment, you may also use YAML files (application.yaml). You can inject these properties directly into your code using the @Value annotation.

Here’s an example of how you might define a property and then inject it:

# In application.properties
server.port=8080

// In your Java class
@Value("${server.port}")
private int serverPort;

Profiles and Environment Variables

Spring Boot allows you to define different configurations for different environments using profiles. You can specify active profiles in multiple ways: through the application.properties using spring.profiles.active, or through environment variables. Profiles are typically named after the environment they correspond to, like dev, test, or prod.

You can manage and switch profiles with environment variables, which override properties files when deployed across different environments. This enables you to keep sensitive information out of version control and tailor configuration externally.

Example of setting a profile as an environment variable:

export SPRING_PROFILES_ACTIVE=prod

By mastering Spring Boot configuration and usage, you ensure that your application runs correctly in different environments and can swiftly adapt to new requirements.

Spring Boot Core Components

Spring Boot simplifies the process of creating stand-alone, production-grade Spring-based applications that you can run. With its core components, you’re provided with a comprehensive platform to develop a variety of applications efficiently.

Understanding Spring Boot Dependencies

You manage your project’s dependencies effectively through Spring Boot’s dependency management system. By using the spring-boot-dependencies POM, your build can inherit dependency management without the need to specify version numbers.

• spring-boot-dependencies: Centralizes a list of default versions for Spring Boot modules.
• Maven or Gradle: Tools you utilize to include dependencies in your project.

The Role of Starters

Spring Boot starters are a set of convenient dependency descriptors that you can include in your application. They simplify your dependency declarations when building.

• Starters: Reduce the need to specify individual dependencies.
• Example Starter: spring-boot-starter-web for creating web applications, including RESTful services.
• Popular Starters:
  • spring-boot-starter-data-jpa
  • spring-boot-starter-security
  • spring-boot-starter-test

The SpringApplication Class

The SpringApplication class provides a convenient way to bootstrap a Spring application that you are developing. It’s where your application starts.

• Key Methods:
  • run(): Starts your application.
  • setBannerMode(): Customizes the banner of your application.
• Use: To launch an application with a main method.

public static void main(String[] args) {
    SpringApplication.run(YourApplication.class, args);
}

Creating RESTful Services with Spring Boot

You create RESTful services in Spring Boot by combining several key annotations to handle HTTP requests.

• @RestController: Simplifies the creation of RESTful web services.
• @RequestMapping: Maps HTTP requests to handler methods.
• @ResponseBody: Indicates that the return value of a method should be used as the response body.
• Creating Endpoints:

@RestController
public class YourController {

    @RequestMapping(value = "/your-endpoint", method = RequestMethod.GET)
    public @ResponseBody String getMethod() {
        return "Response";
    }
}

Using the above components and annotations, you’re equipped to build robust RESTful services with Spring Boot effortlessly.

Data Management with Spring Boot

Effectively managing data is a critical aspect of building robust applications with Spring Boot. This section will navigate through the integration of Spring Data JPA, the use of JdbcTemplate and JDBC, and transaction management which are fundamental to accessing and manipulating databases in your Spring Boot applications.

Spring Data JPA Integration

When using Spring Boot with Spring Data JPA, you tap into powerful repository support that simplifies data persistence. With the spring-boot-starter-data-jpa dependency, you get auto-configuration for JPA and Hibernate, which serves as the default JPA implementation. You should define your repository interfaces by extending JpaRepository to access a multitude of CRUD operations without needing to implement them manually. When configuring Spring Data JPA, you can specify your MySQL database properties in the application.properties or application.yml file.

spring.datasource.url=jdbc:mysql://localhost:3306/your_db
spring.datasource.username=your_username
spring.datasource.password=your_password
spring.jpa.hibernate.ddl-auto=update

Leverage Spring Data JPA’s query methods by following naming conventions, or use @Query to specify a custom JPQL or SQL query directly.

Using JdbcTemplate and JDBC

For direct database access, you can utilize Spring JDBC with JdbcTemplate, which streamlines JDBC operations, eliminating the need for boilerplate code. This approach gives you granular control over your SQL operations. Incorporating spring-boot-starter-jdbc offers auto-configuration to quickly set up a DataSource and JdbcTemplate. Manage your database connections and queries with concise and clean template methods.

@Autowired
private JdbcTemplate jdbcTemplate;

public List<User> findAllUsers() {
    return jdbcTemplate.query(
        "SELECT * FROM users",
        (rs, rowNum) -> 
            new User(rs.getString("username"), rs.getString("email"))
    );
}

Transaction Management

Handling transactions appropriately is crucial in maintaining data integrity. Spring Boot makes it effortless to manage transactions through declarative transaction management. Annotate your services with @Transactional, and Spring manages the lifecycle of your transactions. Actions within a transactional method are executed within a single transaction, ensuring that all operations either complete successfully or rollback in case of an exception.

@Transactional
public void updateUserEmail(Long userId, String newEmail) {
    User user = userRepository.findById(userId)
        .orElseThrow(() -> new UsernameNotFoundException("User not found"));
    user.setEmail(newEmail);
    userRepository.save(user);
}

Correctly configured transaction management promotes consistency and reliability in your data-related processes in Spring Boot applications.

Advanced Spring Boot Concepts

In this section, you’ll learn about some of the sophisticated features of Spring Boot that can elevate the management, configuration, and monitoring of your applications.

Spring Boot Actuator for Monitoring

Spring Boot Actuator is a powerful tool you can use to gain insights into running applications. It provides a range of management endpoints enabling you to monitor and interact with your application. When configuring Actuator, you can include endpoints like /health for health checks, /metrics for various metrics, and /info for general application info. By default, Actuator endpoints might be sensitive and thus protected. You can manage their exposure by setting properties in your application.properties or application.yml files.

Understanding Embedded Servers

Spring Boot simplifies the process of working with embedded servers, meaning you can deploy your applications without requiring separate deployment to an application server. By default, Spring Boot comes with an Embedded Tomcat server, but you can easily switch to others like Jetty or Undertow by including the necessary dependencies in your project. The default port for these servers is 8080, but you can alter it by setting server.port property.

Customizing Spring Boot Behavior

To customize the behavior of a Spring Boot application, you can leverage the Spring Boot CLI or manually adjust various settings, like server.port, in the application.properties file. The CLI is particularly useful for running Groovy scripts, and it allows for rapid prototyping of applications. Additionally, you can customize the embedded server’s behavior, like SSL settings or context paths, to fit your specific deployment scenarios.

The post Spring Boot Interview Questions: Ace Your Next Tech Interview appeared first on Train Your Skills.

An application programming interface (API) is a component that links two applications together and allows them to communicate.  

APIs are essential for digital innovation as they prevent companies having to develop desired functionality within their applications, as they can use an API to integrate an existing application instead.

For example, to incorporate a map into their application, they can use the Google Maps API and avoid the time and expense of creating their own.

Meanwhile, the API developer can charge for the use of its API to generate revenue or, in the case of Google Maps, for instance, benefit from additional brand exposure. 

However, despite their immense benefits, APIs also present significant potential security risks.

By releasing a public, or open, API, an organisation gives third-party developers access to parts of its IT infrastructure.

But at the same time, if not properly secured, APIs also grant the same access to cybercriminals, who can infiltrate their networks through the third parties who use their APIs. 

Let’s delve into API security best practices for mitigating the most common cyber threats caused by API usage.  

What is API Security and Why is it So Important? 

API security is the practice of protecting APIs from cybersecurity threats and, in the process, preventing malicious actors from accessing an organisation’s IT infrastructure and it’s sensitive data. 

API security is critical because when an organisation develops a public API, it can be integrated into an application by any third-party developer.

The bigger the organisation, e.g., Google, Uber, or Facebook, the higher the number of third-party integrations. 

However, an organisation has no control over the security practices of the external organisations that use their APIs.

Subsequently, if a company suffers a security breach, cybercriminals can use the public APIs within its IT infrastructure to infiltrate the companies its applications are integrated with.

If one of those companies insecure APIs, hackers can use that to access its data and assets, without having to attack the company directly. 

Put another way, if your organisation releases an insecure public API for third-party developers to integrate with your applications, your cybersecurity defences will only be as strong as that of the least secure organisation that integrates your API into its IT infrastructure. 

Types of API cyberattacks

To fully appreciate API security best practices, it’s important to understand the most frequent security risks faced by APIs.

Here are some of the most common cyberattacks that malicious actors launch against APIs: 

• Denial of Service (DoS)/Distributed Denial of Service (DDoS) Attacks: a DoS attack sees a malicious actor flood a server with API requests, rendering it unavailable for legitimate user requests. A DDoS attack puts even more strain on a server as it’s perpetrated by a botnet: a group of compromised devices under a hacker’s control. Consequently, a botnet can make more calls to a server in a shorter amount of time and is harder to both detect and mitigate.
  
• Stolen Authentication: when a hacker steals the means of authentication, i.e., an API key, and can access an application’s systems and data as a result.  
  
• Man-in-the-Middle (MitM) Attacks: this occurs when a malicious actor sits between a client and server and intercepts API calls. This can allow them to steal the data being transmitted or hijack the client’s session: impersonating them to access data or other server-side resources.
  
• Injection Attacks: these allow hackers to exploit poor input validation measures, or a complete lack thereof,  to “inject” malicious code into an application. The two most common types of such attacks are SQL injection and cross-site scripting (XSS) attacks.
  
  An SQL injection attack capitalises on a lack of security controls to extract sensitive data from an application database or bypass admin logins. XSS attacks, on the other hand, see a hacker insert malicious code into a web application, which it can use to impersonate a user or redirect them to a malicious site. 
  

The Open Worldwide Application Security Project (OWASP) is an organisation that produces information and tools designed to spread up-to-date information about web security threats and how to combat them.

Their work includes the OWASP Top 10 API Security Risks which they publish periodically to educate people on the most prevalent API security risks and best practices for their mitigation. 

 10 API Security Best Practices

1. Conduct API Risk Assessments

The first, and arguably most important, API security best practice is carrying out comprehensive risk assessments for all the APIs within your IT infrastructure.

This will reveal the security posture of your API ecosystem and determine what you need to do to make it more secure.

There are three main steps to conducting API risk assessments:

• API discovery: you can’t secure an asset you’re unaware of, so the first step is creating an accurate inventory of your APIs and recording them in an API registry. This will also reveal deprecated APIs that need to be removed, reducing the size of your organisation’s attack surface, i.e., the number of vulnerabilities that malicious actors can exploit to breach your network. 
• Mapping data flows: determining which services and resources each API provides access to and the sensitivity of the data it exposes. This not only gives you a clearer idea of the risk your organisation faces but also helps you prioritise which security policies and controls to strengthen or implement first.
• Assess current security measures: evaluate your current API security measures by reviewing the most common security risks, e.g., the OWASP top 10, and determining if they sufficiently protect your APIs. This will reveal the weaknesses in your present API security posture and the policies and controls you must implement to best mitigate risk.

It’s also important to note that API risk assessments are not a “one-and-done” event and should be conducted regularly.

As well as scheduling them periodically, e.g., annually, it’s also a security best practice to conduct them when:

• You suffer a security breach
• You update an API
• Add new APIs to your ecosystem,
• Make changes to your IT infrastructure
• New significant security threats emerge  

2. Authentication and Authorisation

One of the most fundamental ways to secure an API is to manage who can access it, which requires robust authentication and authorisation procedures.

While these two concepts are often thought of interchangeably, they’re actually distinct processes.

Authentication is the act of verifying that a user is who they claim to be, while authorisation determines their access level, i.e., the resources they’re permitted to access and the actions they can carry out on said resource (read, write, delete, etc.).  

Now, while this was traditionally achieved with a basic username and password combination, this required a user’s login credentials to be shared with each third-party application trying to access the API – presenting an additional security risk and comprising data privacy.

Instead, this authentication and authorisation is done through more secure,  token-based authorisation protocols like OAuth2 and OpenID Connect. 

Oauth2 handles authorisation: determining which resources a user can access by exchanging JSON Web Tokens (JWTs) with the client. This includes the user’s “scope” which defines the capacity in which the user can access data. 

Open ID Connect, meanwhile, sits on top of OAuth2 and authenticates users with single sign-on (SSO) through identity providers (IdPs) such as Google or Azure Active Directory.

By using SSO, an API doesn’t have to manage user credentials itself, reducing its data storage requirements and reducing security risk in the event of malicious action. 

3. Restrict Access to Sensitive Data

Authentication and authorisation are only effective if you establish effective access policies and controls for API resources.

In recent years, authorisation models like attribute-based access control (ABAC) and role-based access control (RBAC) have been replaced by the far more effective, zero trust model, which operates through the principle of least privilege (POLP).

POLP provides a user with the minimum level of access necessary to do their job – or to complete their API request – restricting access to sensitive data in the process. 

By the same token, only returning the minimum amount of information required by the client, as opposed to a whole database record, also restricts access to sensitive data.

Returning the entire data record reveals the resources in your data stores – which aids cybercriminals with their reconnaissance stage. 

Returning the minimum amount of data not only offers security benefits but performance ones too, as organisations don’t have to waste computation power or bandwidth on retrieving and sending unnecessary data.

4. Encryption

Encrypting data while it’s in transit and at rest, i.e., where it’s stored, is a security best practice for an organisation’s entire IT infrastructure as well as its APIs.

Encrypting data ensures that data is unreadable if its intercepted or stolen by hackers. 

A common way to encrypt data during transfer is through transport layer security (TLS) encryption which is the successor to secure socket layer (SSL) and the protocol used in hypertext transfer protocol secure (HTTPS).

Fortunately, HTTPS is so widespread that many modern web browsers will restrict access to a website without a TLS/SSL certificate, i.e., that has “http” as opposed to “https”.

Similarly, there are several ways to encrypt data at rest, such as full disk encryption (FDE), file-based encryption (FBE), and database encryption (DBE). 

5. Data Validation 

Another crucial aspect of API security is to never assume that the data passed to your API has been properly validated.

Neglecting to validate user input opens the door for common API security threats like cross-site scripting (XSS) and SQL injection attacks. 

Effective data validation methods include checking the data is the correct type, e.g., numerical data for a phone number, or conforms to a predefined format.

Similarly, you must check that the type of media contained in the request or response matches that of the Content-Type header. Also, placing a data size limit for API calls prevents attacks that require large data payloads. 

6. Rate Limiting 

Rate limiting is a simple, yet effective, API security best practice that places a cap on the number of requests a user can make.

Implementing rate limiting ensures that no one can flood your server with requests – particularly botnets attempting to execute a distributed denial of service (DDoS) attack and making your application unavailable for legitimate users at the same time.  

Similarly, API quotas restrict the number of requests that can be made by a particular user, application, or IP address in a given period.

This both helps protect your APIs from malicious activity and acts as a form of quality control: ensuring resources are fairly distributed between users.

7. Audit Logging 

Audit logging is the process of recording events and changes within your IT infrastructure, including your APIs.

Logging every API request allows you to track user activity and identify any anomalous and, potentially, malicious behaviour.

Audit logging also highlights changes to your IT ecosystem, which could help to reveal malware deployment or altered data.  

As well as keeping audit logs, it’s vital to routinely review them.  Threat actors often rely on the fact that organisations don’t review their logs regularly enough – and use this in their attack strategies. 

8. Continuous Monitoring

On a similar note, consistently monitoring your APIs for suspicious activity enables you to become aware of potential security events as soon as they occur – and receive alerts so you can get ahead of them before they escalate.

Fortunately, there are a variety of API monitoring tools that allow you to analyse their performance in real-time, tracking important metrics such as traffic volume and the number of user requests.

Subsequently, monitoring tools companies to assess the performance of their APIs as well as their security posture.   

9. Install an API Gateway

API gateways, as their name suggests, sit between users and an organisation’s APIs, providing a single initial entry point that filters out suspicious activity before it has the opportunity to reach and impact your IT ecosystem.

API gateways help you implement many of the API security best practices described above, such as data validation, rate limiting, audit logging, and authentication and authorisation.

An API gateway can also maintain and enforce an allow-list or deny-list that automatically denies requests based on an IP address or domain. 

Most importantly, an API gateway allows you to apply security policies and controls to each endpoint, instead of manually having to apply them to each server, database, etc.

In addition to security functions, API gateways carry out several logical and performance tasks, including service discovery (determining where to send each request), load balancing, and caching. 

10. Conduct Regular Security Tests 

Finally, after implementing each API security best practice, it’s critical to ensure they’re effective and working as intended through regular security testing.

While a lot of this testing can be automated with specialised applications and tools, such as API management platforms, it’s also wise to enlist the services of ethical hackers to carry out various penetration tests. 

Ethical, or “white hat”, hackers, provide a threat actor’s mindset: attacking your IT infrastructure in the same way a cybercriminal would and finding flaws in your API security in the process.

Just as importantly, ethical hackers typically possess current threat intelligence: keeping up-to-date with the latest tools and techniques that malicious actors may employ. 

Conclusion 

API Security Best Practices: In Summary 

API security is the practice of protecting APIs from cybersecurity threats and, in the process, preventing malicious actors from accessing an organisation’s IT infrastructure.

It is so important an organisation has no control over the security practices of the external organisations that use their APIs – which can be used by hackers as an entry point into their own networks. 

Common API cyberattacks include 

• Denial of Service (DoS)/Distributed Denial of Service (DDoS) Attacks
• Stolen Authentication
• Man-in-the-Middle (MitM) Attacks
• Injection Attacks

10 API Security Best Practices 

1. Conduct API Risk Assessments
2. Authentication and Authorisation
3. Restrict Access to Sensitive Data
4. Encryption
5. Data Validation 
6. Rate Limiting 
7. Audit Logging 
8. Continuous Monitoring
9. Install an API Gateway
10. Conduct Regular Security Tests 

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1. What is an AI Art Prompt

Are you ready to dive into the world of AI art prompts? Let’s start by defining what an AI art prompt is. An AI art prompt is a starting point or a challenge given to an AI program to create a piece of art. It can be a sentence, a word, an image, or even a sound. The goal is to inspire the AI to create something unique and creative. The structure of an AI art prompt can vary, but it usually includes a set of rules or constraints that the AI must follow. To start creating AI art, you need to have a basic understanding of programming and AI algorithms. It’s important to keep in mind that the AI is a tool, and you are the artist. The most important thing is to experiment and have fun with the process. To give you some inspiration, I have included ten AI art prompt examples in this article. And don’t worry, there are plenty of tools and resources available to help you get started. So, are you ready to master AI art prompts and unleash your creativity? Let’s go!

2. How is it structered

When it comes to mastering AI art prompts, understanding how they are structured is key. An AI art prompt is essentially a set of instructions or guidelines that an artist can use to create a piece of art using artificial intelligence. These prompts are structured in a way that allows the artist to input certain parameters, such as color schemes, shapes, and styles, and then let the AI algorithm do the rest. The structure of an AI art prompt can vary depending on the platform or tool being used, but generally, it will include a set of options or sliders that the artist can adjust to create the desired effect. To start using AI art prompts, it’s important to have a basic understanding of how they work and what options are available. From there, it’s all about experimenting and playing around with different settings to see what kind of results you can achieve. With the right tools and a little bit of creativity, the possibilities are endless.

Prompt: “Create a digital artwork depicting the beauty of nature using vibrant colors and intricate patterns, inspired by the concept of harmony and balance.”

Explanation:

1. “Create a digital artwork”: This just signifies that it should be a digital artwork.
2. “Depicting the beauty of nature”: The focus of the artwork should be on portraying the natural world, encompassing elements like landscapes, flora, or fauna.
3. “Using vibrant colors”: It suggests incorporating bold and lively colors to evoke a sense of energy, vibrancy, and depth within the artwork.
4. “Intricate patterns”: Encourages the inclusion of complex and detailed patterns, which could be inspired by the natural world or created abstractly, to add visual interest and depth to the composition.
5. “Inspired by the concept of harmony and balance”: This suggests that the artwork should visually convey a sense of harmony, equilibrium, and unity, whether through the arrangement of elements, color scheme, or overall composition.

By following this prompt, an AI artist can generate a digital artwork that showcases the beauty of nature while using vibrant colors, intricate patterns, and evoking a sense of harmony and balance in the final composition.

3. How to start

Starting with AI Art Prompts can be intimidating, but it doesn’t have to be. The first step is to choose an AI Art Prompt that inspires you. Look through the list of examples and find one that speaks to you. Once you have your prompt, it’s time to start thinking about how you want to approach it. Consider the structure of the prompt and how you can use it to create something unique. Remember to keep in mind the important elements of composition, color, and texture. Don’t be afraid to experiment and try new things. The beauty of AI Art Prompts is that they allow you to explore your creativity in new and exciting ways. With the right tools and a willingness to learn, you can master the art of AI Art Prompts in no time. So what are you waiting for? Start exploring and see where your creativity takes you!

Prompt: “Create digital artwork of a smiling sun against a blue sky.”

Explanation:

1. “Create digital artwork”: This just signifies that it should be a digital artwork.
2. “Of a smiling sun”: The focus of the artwork should be a sun with a smiling expression, giving it a friendly and cheerful appearance.
3. “Against a blue sky”: The background of the artwork should be a solid blue color, representing a clear and sunny sky.

4. What is important

When it comes to mastering AI art prompts, there are a few important things to keep in mind. Firstly, it’s crucial to understand that AI art prompts are designed to inspire creativity, not limit it. This means that while the prompt may provide a starting point, it’s up to you to take it in any direction you choose. Secondly, it’s important to experiment with different tools and techniques to find what works best for you. Whether you prefer working with traditional mediums or digital software, there are plenty of options available to help bring your ideas to life. Finally, don’t be afraid to take risks and try new things. AI art prompts are a great way to push yourself out of your comfort zone and explore new creative possibilities. With these tips in mind, you’ll be well on your way to mastering AI art prompts and creating stunning works of art.

To create an AI Art prompt for a specific painting style, you need to consider the defining characteristics of that style and tailor your prompt accordingly. Here are the steps to create such a prompt:

1. Research the painting style: Familiarize yourself with the specific features, techniques, and themes associated with the painting style you want to target. Understand what makes it unique and distinctive.
2. Identify key elements: Identify the key elements that define the style. These could include brushstrokes, color palette, subject matter, composition, or any other defining characteristic.
3. Craft the prompt: Based on your research, create a prompt that encapsulates the essence of the painting style. Be specific in your instructions to guide the AI artist in creating the desired artwork.
4. Include relevant details: Incorporate specific details related to the painting style, such as referencing famous artworks or artists associated with the style, to further guide the AI artist’s creative process.

Example: As an example, let’s say you want to create a prompt for Cubism, which is characterized by fragmented forms and multiple viewpoints. Your prompt could be: “Create a digital artwork in the style of Cubism, featuring geometric shapes and overlapping perspectives to depict the subject from multiple angles. Experiment with a limited color palette and explore the use of intersecting lines to create a sense of fragmentation and abstraction.”

By tailoring the prompt to a specific painting style, you provide guidance to the AI artist and increase the likelihood of generating an artwork that aligns with the desired aesthetic.

5. 10 AI Art Prompt Examples

If you’re looking to master AI art prompts, then you’re in the right place! In this article, I’ve covered everything you need to know about AI art prompts, including how they’re structured and how to get started. But what about the fun part? To help you get inspired, I’ve put together 10 AI art prompt examples that are sure to get your creative juices flowing. From “Create a futuristic cityscape” to “Design a surreal landscape,” these prompts are designed to challenge you and help you explore the possibilities of AI art. With these prompts, you’ll be able to create stunning works of art that showcase your unique style and creativity. So what are you waiting for? Grab your tools and get started on your next AI art masterpiece!

10 examples of AI Art prompts:

1. Create a futuristic cityscape at night, featuring towering skyscrapers, glowing lights, and reflective surfaces.
2. Design a surreal digital artwork showcasing a combination of organic and mechanical elements, blurring the line between nature and technology.
3. Compose an abstract painting using bold, contrasting colors and dynamic brushstrokes to convey a sense of movement and energy.
4. Imagine and illustrate a mythical creature inspired by folklore, incorporating intricate patterns and textures.
5. Craft a digital portrait capturing the emotion and personality of a loved one, emphasizing expressive eyes and nuanced facial details.
6. Produce a still life artwork featuring an arrangement of vibrant fruits, exploring light and shadow to create a sense of depth and realism.
7. Develop a digital collage that combines vintage photographs, modern elements, and typography to convey a message of nostalgia and progress.
8. Create an otherworldly landscape, blending elements of fantasy and science fiction, with imaginative creatures and breathtaking scenery.
9. Illustrate a children’s book cover depicting a whimsical scene with adorable characters, bright colors, and a touch of magic.
10. Design a digital artwork inspired by a specific culture’s traditional patterns and motifs, embracing intricate details and symbolic meanings.

These prompts offer diverse artistic directions and themes, providing AI artists with opportunities to explore various subjects, styles, and techniques, fostering creativity and inspiration.

6. Tools

And last but not least, let’s talk about the tools you’ll need to master AI art prompts. The good news is that you don’t need any fancy or expensive equipment to get started. All you need is a computer or a tablet, an internet connection, and some creativity. There are several software options available that can help you create AI-generated art, such as RunwayML, Deep Dream Generator, and Artbreeder. These tools allow you to experiment with different styles, techniques, and parameters to create unique and stunning artworks. Additionally, you can use traditional art tools such as pencils, paints, and brushes to enhance your AI-generated pieces and add your personal touch. The key is to experiment, learn, and have fun with the tools at your disposal. With the right tools and a bit of practice, you’ll be able to create AI-generated art that is both beautiful and meaningful. So, what are you waiting for? Start exploring the world of AI art prompts today and see where your creativity takes you!

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Get ready to be blown away by the incredible potential of AI art generator tools! These innovative programs allow artificial intelligence to tap into our wildest imaginations and create stunning works of art. From abstract masterpieces to realistic portraits, I’m showcasing the very best AI art generators available – prepare to be amazed!

1. Introduction – Unlocking the Creative Potential of AI Art Generators

Artificial Intelligence (AI) has been revolutionizing the way we create art. With the help of AI art generators, artists can unlock their creative potential and explore new possibilities. These tools use deep learning algorithms to analyze and understand patterns in existing artwork, and then generate new pieces based on those patterns. The result is a fusion of human imagination and machine intelligence, producing artworks that are both unique and inspiring. In this blog post, I will explore different AI art generator tools. I will also discuss the benefits of using AI-generated art and how it is changing the art world. From surreal landscapes to abstract compositions, the possibilities are endless with AI art generators. So, let’s dive in and unleash our imagination with the power of AI!

2. Exploring Different AI Art Generator Tools

Exploring different AI art generator tools is an exciting journey into the world of artificial intelligence and imagination. With the rapid advancements in technology, AI art generators have become more sophisticated and creative, allowing artists and designers to unlock their full creative potential. From deep learning algorithms to neural networks, there are a plethora of AI art generator tools available in the market that can create stunning and unique artworks. Each tool has its own set of features and capabilities, making it easier for artists to experiment and explore different styles and techniques. The benefits of using AI-generated art are numerous, including faster production times, improved accuracy, and the ability to create complex and intricate designs that would be impossible to achieve manually. As AI continues to change the art world, we can expect to see more innovative and groundbreaking artworks that push the boundaries of imagination. With AI art generators, the possibilities are endless, and we are only beginning to scratch the surface of what this technology can achieve.

Here are a few examples of AI Art Generator Tools that you can use to take your art to the next level:

1. DeepDream: This tool uses machine learning algorithms to create surreal and dreamlike images that are unlike anything you’ve ever seen before.
2. ArtBreeder: With this AI-powered platform, you can mix and match different styles, genres, and techniques to produce unique artworks that reflect your creative vision.
3. NeuralStyler: This software allows you to transfer the style of one image onto another, creating stunning visual effects that blur the line between reality and imagination.
4. Dall-E: This cutting-edge AI art generator tool is capable of creating images from textual descriptions, allowing you to bring your wildest ideas and concepts to life in stunning detail.

By embracing AI-generated art tools like these, artists can unlock new levels of creativity while also saving time and resources in their work processes. So why not give them a try today? You never know what kind of masterpiece might be waiting just beneath the surface!

3. The Benefits of Artificial Intelligence-Generated Art

One of the most exciting benefits of artificial intelligence-generated art is the potential to unlock new levels of creativity. With AI art generators, artists can explore new techniques and styles that they may not have considered before. Additionally, AI-generated art can be created much faster than traditional methods, allowing artists to experiment and iterate more quickly. Another benefit is the ability to create truly unique pieces of art that are difficult or impossible to replicate. AI algorithms can generate designs and patterns that are beyond the scope of human imagination, leading to a new era of creative expression. As AI continues to evolve, it is changing the art world in profound ways, challenging traditional notions of what constitutes art and pushing the boundaries of creativity. From generative adversarial networks to style transfer algorithms, there are a variety of AI art generator tools available for artists to explore. By embracing these tools, artists can unleash their imagination and create truly groundbreaking works of art.

4. How Artificial Intelligence Is Changing the Art World

Artificial intelligence is revolutionizing the art world in ways that we could never have imagined. With the help of AI art generator tools, artists are now able to unlock their creative potential and explore new horizons. The benefits of AI-generated art are numerous, including the ability to generate unique and original artworks in a matter of minutes. Moreover, AI-generated art is changing the way we perceive art and the creative process. It is no longer just about the artist’s imagination, but also about the machine’s ability to create something unique and beautiful. With AI-generated art, we are seeing a new era of art that is both innovative and exciting. Some of the examples of AI-generated artworks include portraits, landscapes, and abstract art. The possibilities are endless, and we are only scratching the surface of what is possible with this technology. In conclusion, AI art generators have unleashed a new era of creativity, and we are excited to see where this technology will take us in the future.

5. Examples of AI-Generated Artworks

One of the most exciting aspects of AI art generators is the stunning and unique artworks they can produce. From abstract paintings to intricate sculptures, AI-generated art is revolutionizing the art world by pushing the boundaries of what is possible. One example of this is the work of artist and programmer, Mario Klingemann, who uses AI algorithms to create mesmerizing pieces that blur the line between human and machine creativity. Another example is the AI-generated portrait, “Edmond de Belamy,” which sold for a staggering $432,500 at a Christie’s auction in 2018. These examples demonstrate the incredible potential of AI art generators to produce art that is not only visually stunning but also thought-provoking and challenging. As the technology continues to evolve, we can expect to see even more groundbreaking and innovative artworks that push the limits of human imagination.

6. Conclusion – Unleashing Imagination with AI Art Generators

In conclusion, AI art generators have opened up a whole new world of possibilities for artists and art enthusiasts alike. With the ability to generate unique and inspiring pieces of art at the touch of a button, the creative potential of these tools is truly limitless. As we have seen throughout this article, there are a variety of different AI art generator tools available, each with their own unique features and benefits. From creating stunning abstract compositions to generating hyper-realistic portraits, these tools have the power to transform the art world as we know it. And while there may be some concerns about the role of AI in the creative process, there is no denying that these generators are a valuable tool for artists looking to push the boundaries of their imagination. So whether you’re a seasoned artist or just starting out, why not unleash your creativity with the help of an AI art generator today? The possibilities are truly endless

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So what is Artificial Intelligence (AI) in simple words? AI is used to create computer systems that are capable of accomplishing tasks that require human intellect and intelligence. This includes understanding speech, forming opinions, comprehending visual cues, and even restructuring sentences. To accomplish all this, AI technology makes use of algorithms and statistical models that help assess and interpret data, come up with accurate predictions, and form opinions based on the data provided. Understandably, AI technology’s predictions become better with its exposure to further data.

AI Technology and its Practical Implications

Today, AI technology is used extensively in various industries due to its diverse applications, including Natural Language Processing (NLP), Computer Vision, Predictive Analytics, and Robotics.

Natural Language Processing

Natural Language Processing is an extremely useful application of AI technology as it acts as a bridge between computer systems and natural language. This ensures that the interaction and engagement between humans and computers becomes more seamless. 

Computer Vision

Computer Vision, which is another important field of AI, helps computer systems identify as well as interpret visual information, including digital images, videos, and more. This information is used by AI technology to offer useful recommendations.   

Predictive Analytics

Predictive analytics is an extremely important branch of AI technology that leverages data, statistical algorithms, and machine literacy in order to identify any potential issues after assessing extensive data. With the help of predictive analytics, companies can forecast important information such as potential issues that can lead to complaints, scope for failure of equipment, and more. In the healthcare industry, this technology can be used to identify patients who are at risk of developing certain disorders. This allows healthcare workers to recommend early intervention to stagnate or even prevent any deterioration. 

Robotics

Robotics, as the name implies, is the branch of AI technology that involves the design, creation, development, and application of robots. With the help of robots, tasks and duties that can pose physical or mental dangers for employees can be handled. This includes any work that must be done in a dangerous or hazardous environment, space exploration, and more. Today, many businesses across industries are employing robotics to improve manufacturing, logistics, and transportation.

AI Technology’s Pros and Cons

Although AI offers a host of benefits such as improved productivity, efficacy, and performance, there are a few ethical and moral issues that must be considered. For instance, AI has already begun to replace human beings in workplaces, rendering many skilled people unemployed. Moreover, there are concerns that using AI for decision-making may adversely affect transparency and result in bias. So, it is high time that an ethical framework is drafted to facilitate the responsible use of AI technology.

We hope this article has helped you understand what AI technology is and how it is being leveraged across industries. AI technology is undergoing constant advancements in today’s world and transforming how we work, and even live. Its practical applications, such as NLP, Computer Vision, Predictive Analytics, and Robotics are simplifying time-consuming and complex processes while also minimizing the scope for errors. However, as the adoption of AI technology continues to rise, it is time to address the ethical concerns underlying its usage so it can benefit society as a whole. If implemented morally and cautiously, AI technology can improve our lifestyle, create brand new opportunities, and prioritize innovation. 

If you want to learn more about AI, about the new AI-powered language model ChatGPT and how to use prompts, then feel free to check out the article about ChatGPT.

The post What is Artificial Intelligence (AI) in simple words? appeared first on Train Your Skills.

Thus, ChatGPT can perform interactions using a huge amount of data. Moreover, the system learns. It picks the data from various sources, such as:  

• Blogs  
• Forums  
• Online-books  
• Websites or  
• Articles  

The GPT-3.5 model works with a special neural network architecture. Through it, the tool can process the above-mentioned large amounts of data. ChatGPT uses this to provide a suitable answer to almost any question. A technique called Transformer is used for this purpose. Through it, the tool is able to understand content and generate answers that could also come from a human.   

How can I communicate with ChatGPT?  

To communicate with the new and innovative program, users type a question or a request in the corresponding line in the chat window. Within a few moments, the system spits out the answer.    

What can I use it for?  

The tool can be used in many ways, for example as a personal assistant. It is also suitable as a voice control. It helps to increase efficiency in companies and increase productivity. ChatGPT an excellent example of how advanced artificial intelligence is.    

And we can now “talk” to a computer program. 

How students can use the Chat GPT AI Chatbot?  

There are many good ways how students can use the program. We present them in more detail in the following paragraphs: 

1. Better texts  

The tool can help students write homework or other significant texts better. It also teaches them how to ask the right question for certain difficulties.  

2. Thorough research  

Another essential reason to use ChatGPT is the quick and thorough research. Thus, students just type a question or a prompt in the chat window and get a lot of valuable information in just a few moments.   

3. Personalized support  

ChatGPT provides students with individualized and personalized support. In doing so, the tool addresses their individual needs and questions. On top of that, it also teaches them how to communicate better and efficiently with other students or professors.   

4. Better learning  

Through the program, students can find information on a wide range of subjects more quickly. Through various media (texts, videos or books) they understand certain topics better and improve their knowledge. This is generally beneficial and can be very important just before exams.   

All this shows how valuable ChatGPT can be for students. The basic version is completely free. Therefore, it can be used freely. The only requirement is a terminal device, such as a smartphone, a laptop, a PC or a tablet and as well a Internet access are required for this. Thus, the program can be used not only at home, but also outside.

What can I do with ChatGPT?  

The question should rather be: “What can I not enter in ChatGPT?” Because the tool answers almost any question, such as:  

„How tall is the tallest building in the world?” or „When did it snow more than 50 cm in the USA?”   

Why should small businesses use Chat GPT AI Chatbot?

Small companies should definitely use the tool as well. Because there are numerous advantages for them as well, namely:

1. Higher efficiency

With ChatGPT, companies improve and increase their processes. Moreover, many of them are simply automated. As a result, fewer employees are needed. This means that businesses save money through lower payroll. 

2. Better Customer-Service

The tool helps businesses communicate with customers more easily and efficiently. The latter get help faster and are more satisfied. They no longer have to wait for minutes in the hotline queue, but instead chat with ChatGPT.

3. Optimized marketing and sales techniques

By using the tool, companies can optimize certain Marketing- and Sales-Techniques. This allows them to reach more customers and increase their reach. By answering questions in an automated manner, more sales are closed.

4. Individual interaction

The tool conducts an individual interaction with the customers. Thus, they lead themselves taken seriously. On top of that, their wishes and ideas are implemented, which helps to improve customer satisfaction.

5. Fast data analysis

Every company should regularly analyze all important data. With ChatGPT, this can also be done much faster. For example, businesses gain valuable insights into customer behavior and sales closures. These insights can help improve their own products and services and increase customer satisfaction.

Chat GPT AI Chatbot prompts

There are a variety of prompts that can be used with ChatGPT. It all depends on what result is being sought.

ChatGPT can encourage creative writing and can help formulate the opening of a story. In addition, students and pupils benefit from the program, which helps them with learning and research. It doesn’t matter if the subject is mathematics, english or biology, for example. The program also facilitates communication between two people through its prompts. This is a very important point in the customer service, for example.

Some examples of ChatGPT prompts:

1. Daily planner

When you have a lot of things to consider in your day-to-day work, it’s easy to forget things. With ChatGPT you have everything in view and a good overview. 

Prompt: I write down all the tasks I have to do in a working day and you create a schedule from it. 

2. Pitch product

To make a product interesting to customers, it needs to bring added value. For this you need a suitable description, which ChatGPT writes for you. 

Prompt: Write me a product description for my product in an upscale language. 

3. Find the right domain

It is not so easy to find the right domain for your website. On request ChatGPT will create a list of suggestions.

Prompt: I tell you what my product is called and you write me a list of possible names. 

Conclusion:

ChatGPT is a gateway to a new world. Artificial intelligence can be used in a very versatile way. Among others, students and small businesses will benefit from it. The tool is completely free and available to them for free. All they have to do is type a question or a request in the chat window. Right after that, ChatGPT will provide them with the appropriate answer. 

ChatGPT is a powerful tool, that can help students and companies in a lot of situations. It’s free and can be used anywhere. If you want to optimize your business, you should definitely take a closer look at the program!

Short notice: The tool itself is free but if you need higher availability, better response rates or early access to new features you should look at the ChatGPT Plus subscription. Alternatively you can integrate ChatGPT with their API in your own products which is not for free.

The post How to use the Chat GPT AI Chatbot – including prompts appeared first on Train Your Skills.

I worked on a lot Website projects and have used many different technologies to create Websites. I have used for example WordPress, WIX, GoDaddy, Jimdo, Angular and static Websites as well just to name a few of them. After all these projects I can say that there is no clear answer which technology is the best. It always depends on the project and the requirements coming with it.

I will try to summarize the advantages and disadvantages of all solutions (CMS, Website Builder or a Static Website) to help you deciding about the technology for your next project.

This list might be not complete and you may have a different view on some points. Therefore I invite you to share your opinion and experiences in the comments to bring more perspectives into that topic.

CMS

Advantages

• Flexible
• Dynamic
• Extensions with plugins
• Many themes

Disadvantages

• Security (every plugin can have vulnerabilities)
• Speed (many plugins can make it slow)
• Knowledge (not easy if no CMS experience)
• Time intensive (if no experience with CMS)

Website Builder

Advantages

• Easy (for everybody)
• Secure (Webhoster takes care)
• Fast Results
• Ready to use themes
• Extensions
• Support

Disadvantages

• Price (possibe extra costs)
• Limited Features
• Sometimes slower
• No updates needed

Programming (i.e. Angular)

Advantages

• Endless possibilities
• Complex websites / webapps possible
• Independent from hoster or plugin developers
• Dynamic
• Flexible
• Can be very fast

Disadvantages

• Development skills needed
• Additional software needed (like IDE,…)
• Security (good knowledge needed)
• Less themes
• Changes may need a build of the webapp
• Updates can be time intensive

Static Website (HTML, CSS, PHP)

Advantages

• Fast
• Security (depends on libraries used)
• Easy (usually basic HTML, CSS knowledge is enough)
• Works nearly on every hoster
• Easy to update

Disadvantages

• Possibilites are limited
• Static
• Less themes
• Additional tools needed if no text editor used

Very often CMS systems or Website Builders are compared but the question about what technology to use is not answered. That’s why I write this article to make it easier to answer the basic question first. From my experience these are my recommendations when it comes to the comparison between CMS, Website Builder and a Static Website:

Small Website with static content (i.e. Freelancer Website)

→ Static Website with theme

→ Website Builders

Medium sized Website with static content (i.e. Product Page)

→ Static Website with theme

→ Website Builders

→ CMS (i.e. WordPress, Joomla, etc.)

Medium sized Website with dynamic content (i.e. Company Website)

→ CMS (i.e. WordPress, Joomla, etc.)

→ Programming (i.e. Angular)

Big Website with dynamic content (i.e. Company Website, Forum)

→ CMS (i.e. WordPress, Typo3, etc.)

→ Programming (i.e. Angular)

Software as a Service Application / Dynamic Webapps (i.e. Job Portal)

→ Programming (i.e. Angular)

The post Using a CMS, Website builder or a static Website? appeared first on Train Your Skills.

What is Thunderbird?

If you don’t know Thunderbird yet – it is a free and powerful email application which is very easy to use and to setup.

How to setup Thunderbird to forward mails automatically?

If you don’t have Thunderbird already installed on your system, start with this step:

• https://www.thunderbird.net

After installing Thunderbird on your system you first have to add your mail account. If you don’t know how, you can follow the following instructions or check out the link:

• https://support.mozilla.org/en-US/kb/automatic-account-configuration

1. Click on “Email”:
2. Enter your name, email and the email password:
3. If your mail configuration was found, the rest will happen automatically – just follow the instructions

After that you should be able to receive and send mails with Thunderbird. Now we can start with the configuration to forward your mails automatically.

1. Open Thunderbird Settings by clicking on the menu button on the top right of the window and go into “Tools”:
2. Then select “Message Filters”:
3. Select the mail account for which you want to use the filter:
4. Click on “New” and start creating a filter for the selected mail account:
5. Enter a filter name, select when the filter should be applied and select the conditions and the actions which should be performed:
6. Confirm it and check that it is enabled:

Finally you have created an filter for your mails to forward your mails automatically with Thunderbird (Thunderbird has to run on your system to apply the filters). You can create filters for many tasks and even combine conditions and actions in one filter.

I hope you like this short tutorial and it helped you with setting up an filter in Thunderbird to forward your mails automatically.

The post Thunderbird – How to forward mails automatically appeared first on Train Your Skills.

Hardware & Software

Let’s start with a list of hardware we need for that small project:

• Raspberry Pi
• Raspberry Pi Power Supply
• Micro SD Card for Raspberry Pi (>= 16 GB)
• USB Micro SD Card Reader
• Network Cable for Raspberry Pi or WLAN adapter
• USB drive or external hard disc to save big download files (opt.)

When we have this ready we can start with preparing our software:

• https://dietpi.com/#download (choose your device from the list)
• https://www.balena.io/etcher/
• https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html

Install DietPi operating system

First we need to install the operating system on the Raspberry Pi. For that we use DietPi which is a small, fast and easy to use operating system you can use for your Raspberry Pi. The detailed installation instructions you can find in our blog post here:

• DietPi Installation

Install Pi-hole

After installing and configuring the operating system and being able to connect to it we have to start to install and configure the software Pi-hole now. This is the software we will use to block all ads in your network so that you can enjoy surfing in the internet without being interrupted or annoyed by ads on every website you visit.

First you have to connect to your Raspberry Pi via Putty (as it was described in the installation part before) and you have to open the DietPi launcher with the command:

dietpi-launcher

After that you have to open the “DietPi-Software” menu:

Go to “Browse Software” to see a list of the available software in DietPi:

Scroll down until you find the entry “Pi-hole:…” in the category “DNS Servers”:

Confirm the selection with “Ok” and select if you want to use “Unbound” as your recursive DNS server. For the purpose of just having an ad blocker this is not necessary:

In the following step you will be asked for a static IP address, when you have configured it already on your router as described in the DietPi setup linked above you can skip the step. If not please read again the DietPi installation article.

Now you will be redirected back to the “DietPi-Software” page where you start the installation of Pi-hole when you select “Install”:

Confirm the installation and start:

This can take some time because it has to download and install a few packages to make this work. Just be patient and wait for this screen:

Click through the steps until you reach the following screen to select the DNS Provider:

Here you can select for example the preselected Google DNS Provider. After that go through the next steps:

In the next step you can choose if you want to install the web admin interface which I recommend if you want to have an easy way to control and check Pi-hole in your browser:

Then you can check if you want to log queries or not. In the screen after that you have to choose whcih privacy mode you want to use. If you want to show everything, hide domains / clients or if you want to run in anonymouse mode:

After that final step you have to wait until the configuration is finished and you get the following confirmation screen. There you will got two important information:

1. IPv4 address you have to use as your DNS server
2. Web interface address to open it in your browser

Write it down and confirm this step to continue with the setup. In the next screen it will ask if you want to block public access to the Pi-hole admin panel so that only connections from within your LAN or via VPN are possible. I highly recommend to follow the approach and block public access:

Finally you will be redirected to the dietpi-launcher start page and Pi-hole is installed and ready to use. You can check that by trying to open the web admin interface:

• <your-raspberrypi-ip-address>/admin

If the installation was successfully you can open the following view in your browser:

• Password: <your-global-software-password> (default: dietpi)

To use Pi-hole on your device you have multiple options:

1. Change DNS server on your device (section “On a Windows PC” on https://www.howtogeek.com/167533/the-ultimate-guide-to-changing-your-dns-server/)
2. Change DNS server for all devices in your local network by changing DNS server on your router (section “On Your Router” on https://www.howtogeek.com/167533/the-ultimate-guide-to-changing-your-dns-server/ or https://www.lifewire.com/how-to-change-dns-servers-on-most-popular-routers-2617995)

Advanced Configuration

If you can to deep dive into the configuration of the Pi-hole and you want to know more about the possible settings, you can check the following links:

• https://dietpi.com/docs/software/dns_servers/#pi-hole
• https://pi-hole.net/

The post Block Ads on every device in your network with your Raspberry Pi appeared first on Train Your Skills.

Let’s start with the installation of our Raspberry Pi operating system DietPi:

• https://dietpi.com/docs/install/ (step 1. – 3.)

When you finished all preparations from the link above and connected your Raspberry Pi with your network (network cable) the Raspberry Pi should now start the first time with its new operating system DietPi. You can now connect it to a keyboard and a screen directly or you scan your network for the IP address of the Raspberry Pi to connect directly via SSH from your personal computer. To scan your network for the IP address you can check this in your router or you can use the tool Advanced IP Scanner.

Usually your Raspberry Pi will get another IP address every time you will restart it because of DHCP. To prevent this change you can change some settings in your router for that specific device. In every router this setting for having a static IP address for a device is a bit different, therefore I have a few very common router models as examples listed here (please let me know in the comments if you want to have this information for another router):

• FritzBox: https://en.avm.de/service/fritzbox/fritzbox-7390/knowledge-base/publication/show/201_Configuring-FRITZ-Box-to-always-assign-the-same-IP-address-to-a-network-device/
• D-Link: http://blog.dlink.com/mastering-static-ip-addresses-2/

SSH Connection and DietPi setup

If you are not connected directly to your Raspberry Pi with a screen and a keyboard you can use Putty for establishing a connection to your Raspberry Pi from your personal computer:

1. Enter here the IP address of your Raspberry Pi
2. This should be port 22 for SSH
3. Select SSH for the Connection type

After opening the connection you will be asked for login credentials:

• Username: root
• Password: dietpi

After confirming the license agreement it will immediately start with an update for the whole system. This can take a few minutes depending on your internet connection and the speed of your device. Just wait until the process is finished and you see this screen:

Make your decision here and confirm to go to the next step:

It is always a good idea to adjust the password for the system – even if you only want to use it in your local network.

Same for Unix user password:

When you see this screen you have finished the initial installation and configuration of DietPi – congratulations!

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