Course Prerequisites
Prerequisites for the Build Intelligent Applications with Spring AI Course
To successfully undertake the Build Intelligent Applications with Spring AI course, participants should have the following foundational knowledge and skills:
- Understanding of Object-Oriented Programming (OOP): A solid grasp of OOP concepts is essential as the course involves building and managing complex applications using Java and Spring.
- Basic Knowledge of Generative AI: Familiarity with generative AI principles and frameworks will help participants understand and implement AI models effectively.
- Experience with Java Development: Proficiency in Java programming language is crucial for building applications in Spring AI.
- Understanding of the Project Lifecycle: Ability to manage and execute various stages of the software development lifecycle is beneficial for practical application development.
- Familiarity with Tools:
- JDK (Java Development Kit): Knowledge of setting up and using JDK for Java development.
- IntelliJ or similar IDE: Experience using IntelliJ or any other Integrated Development Environment for Java coding.
- OpenAI API key: Knowing how to obtain and use an OpenAI API key for integrating AI functionalities.
These prerequisites ensure that participants are well-prepared to engage with the course material and get the most out of their learning experience.
Target Audience for Build Intelligent Applications with Spring AI
1. Introduction:
The "Build Intelligent Applications with Spring AI" course is tailored for developers aiming to advance their expertise in Generative AI and build practical applications using Java and Spring.
2. Target Audience & Job Roles:
- Java Developers
- AI Developers
- Software Engineers
- Backend Developers
- Data Scientists
- Machine Learning Engineers
- Application Developers
- Technical Leads
- Technology Architects
- DevOps Engineers
- Full-Stack Developers
- Research Scientists
- IT Project Managers
- AI Enthusiasts with Java experience
- Senior Engineers working on AI projects
- Innovation Engineers focused on emerging technologies
Learning Objectives - What you will Learn in this Build Intelligent Applications with Spring AI?
Course Introduction:
The "Build Intelligent Applications with Spring AI" course focuses on leveraging the power of Generative AI, particularly using Spring AI, to create sophisticated and practical applications. This 40-hour, hands-on course will deepen your understanding and skills in AI-powered Java development.
Learning Objectives and Outcomes:
- Gain an in-depth understanding of Spring AI models and their capabilities.
- Learn to construct and utilize prompts, prompt templates, and embeddings for AI interactions.
- Understand and apply structured output and token management in AI applications.
- Integrate your own data with AI models and leverage APIs for enhanced functionality.
- Build advanced AI applications in Java, specifically using Spring Boot and Spring AI.
- Develop expertise in RAG (Retrieval-Augmented Generation) and its implementation in Spring AI.
- Create functional reference documentation assistants and interactive chatbots using GPT-4 and Spring AI.
- Explore and implement vision capabilities in AI applications.
- Utilize embedding techniques for data comprehension and generate images using Spring AI.
- Summarize large text data and obtain an introduction to LangChain for advanced AI applications.
Target Audience for Build Intelligent Applications with Spring AI
1. Introduction:
The "Build Intelligent Applications with Spring AI" course is tailored for developers aiming to advance their expertise in Generative AI and build practical applications using Java and Spring.
2. Target Audience & Job Roles:
- Java Developers
- AI Developers
- Software Engineers
- Backend Developers
- Data Scientists
- Machine Learning Engineers
- Application Developers
- Technical Leads
- Technology Architects
- DevOps Engineers
- Full-Stack Developers
- Research Scientists
- IT Project Managers
- AI Enthusiasts with Java experience
- Senior Engineers working on AI projects
- Innovation Engineers focused on emerging technologies
Learning Objectives - What you will Learn in this Build Intelligent Applications with Spring AI?
Course Introduction:
The "Build Intelligent Applications with Spring AI" course focuses on leveraging the power of Generative AI, particularly using Spring AI, to create sophisticated and practical applications. This 40-hour, hands-on course will deepen your understanding and skills in AI-powered Java development.
Learning Objectives and Outcomes:
- Gain an in-depth understanding of Spring AI models and their capabilities.
- Learn to construct and utilize prompts, prompt templates, and embeddings for AI interactions.
- Understand and apply structured output and token management in AI applications.
- Integrate your own data with AI models and leverage APIs for enhanced functionality.
- Build advanced AI applications in Java, specifically using Spring Boot and Spring AI.
- Develop expertise in RAG (Retrieval-Augmented Generation) and its implementation in Spring AI.
- Create functional reference documentation assistants and interactive chatbots using GPT-4 and Spring AI.
- Explore and implement vision capabilities in AI applications.
- Utilize embedding techniques for data comprehension and generate images using Spring AI.
- Summarize large text data and obtain an introduction to LangChain for advanced AI applications.
