Spring AI Training Course

1. Introduction to Spring AI

• Project initialization and setup
• The function of prompts and prompt submission
• Writing the initial test
• Selecting an appropriate model
• Model configuration
• Overview of Spring AI features

2. Interpreting responses

• Methods for verifying relevant answers
• Runtime accuracy

3. Detailed prompt engineering

• Utilizing prompt templates
• Creating new prompt templates
• Comprehending context
• The significance and role of context
• Modifying response generation via options
• Streaming and output formatting
• Response metadata

4. Leveraging personal data and documents

• Grasping RAG (Retrieval-Augmented Generation)
• Configuring the vector store and ingesting documents
• Implementing RAG for the first time
• Implementing RAG with an advisor
• Modular RAG capabilities

5. The importance of memory in AI

• The necessity of memory
• Integrating and configuring memory for conversations
• Conversation IDs
• Enabling persistent memory
• Storing chat memory in the vector store

6. AI Tools

• Enabling tools in applications
• Understanding tool capabilities
• Developing and deploying tools
• Using functions as tools

7. The Model Context Protocol (MCP)

• The purpose of MCP
• Implementing an MCP Client
• Developing an MCP Server
• Databases and tools for the MCP Server
• Understanding HTTP and SSE (Server-Sent Events) transport
• Exposing prompts and resources

8. Operational monitoring

• Activating actuator metrics
• Monitoring vector store operations
• Observing model interactions
• Token counting
• Aggregating data in Prometheus and building dashboards
• Tracing AI operations

9. Safeguards in generative AI

• Managing document access via RAG
• Protecting tools
• Mitigating adversarial prompting
• Filtering user input

10. Standard generative patterns

• Content summarization
• Message translation
• Sentiment analysis

11. The function of Agents

• Definition of an agent
• Building agentic workflows
• Chaining prompts, task routing, and parallelization
• Agent access via MCP