In-Depth: Developing Generative AI Applications with Spring

Mastering Spring AI and Advanced Generative AI Technologies

Created by: Ken Krueger
Technical Instructor in Software Development topics

What Will I Learn?

• Understand AI Fundamentals: Gain a solid foundation in essential AI concepts, including tokens, embeddings, semantic search, and vector stores.
• Explore Prompt Engineering and RAG: Learn about prompt engineering techniques and Retrieval-Augmented Generation (RAG) for improving AI interactions.
• Utilize the Spring AI project to effectively develop generative AI applications based on Spring Boot.
• Engage in Extensive Hands-On Labs: Participate in practical labs that provide direct experience with the Spring AI framework and foundational models.
• Handle Practical Programming Challenges: Learn best practices for storing access credentials, managing errors and retries, and setting custom parameters, etc.
• Utilize Key Parameters Effectively: Understand and apply common parameters like temperature, topP, max tokens, logit bias, and stop sequences.
• Emphasize Automated Testing: Incorporate automated testing practices to ensure the reliability and performance of generative AI applications.
• Gain practical experience working with OpenAI, Azure AI, Amazon Bedrock, Ollama, Anthropic, Cohere, Ollama, StabilityAI, and others.

Requirements

• Students should have basic proficiency in Java, including experience with the Spring Framework and Spring Boot. To complete the hands-on labs (recommended), students must also have access to a computer capable of running Java and an integrated development environment (IDE) of their choice, such as IntelliJ IDEA, Eclipse, or Visual Studio Code.
• Some hands-on labs require setting up accounts and credentials with AI model providers. These services may have associated charges, which are not covered by the course fee, though the overall cost is minimal.

Target audience

• This course is intended for software developers having basic, intermediate, or advanced knowledge of Java, Spring, and Spring Boot