Level | Topic | Subtopics |
---|---|---|
Basic | Introduction to Spring AI | What is Spring AI, Role of AI in Spring Apps, Overview of LLM Integration, Use Cases in Applications, Benefits of AI with Spring |
Spring AI Setup | Adding Spring AI dependencies, Configuration Basics, API Keys Management, Connecting with OpenAI/LLMs, Simple AI Service Example | |
Prompt Engineering Basics | Prompt Structure, Few-shot Prompts, Zero-shot Prompts, Prompt Variables, Handling AI Responses | |
REST API with AI | Creating AI-backed REST endpoints, Handling JSON Responses, Simple Text Completion API, Basic Error Handling, Returning AI Results | |
Intermediate | AI Integration with Spring Boot | Service Layer Integration, Async Calls with AI APIs, Handling Timeouts, Error Recovery, Logging AI Calls |
Advanced Prompt Engineering | Multi-turn Prompts, Chaining Prompts, Contextual Memory, Structured Outputs, Guardrails | |
Data Access + AI | Using AI for Query Generation, AI-Assisted Search, Vector Databases with Spring Data, RAG (Retrieval-Augmented Generation), Caching AI Results | |
Spring AI Observability | Logging AI Requests/Responses, Metrics Collection, Distributed Tracing, Monitoring Performance, Debugging AI Behavior | |
Security in Spring AI | Securing API Keys, Rate Limiting, Handling Sensitive Data, Input Validation, AI Safety Basics | |
Advanced | AI Orchestration | Multi-Model Orchestration, Model Selection Strategies, Chained AI Workflows, Using Agents in Spring, Async Orchestration |
Spring AI + LangChain4j | LangChain4j Basics, Integrating with Spring, Creating Chains, Using Tools, Memory in LangChain4j | |
AI + Databases | SQL Generation, Natural Language to SQL, Query Optimization with AI, Using AI for Schema Mapping, Intelligent Data Access | |
AI for Business Workflows | AI in E-commerce, AI for Recommendations, AI for Fraud Detection, Document Processing, Chatbots | |
Testing Spring AI Applications | Unit Testing AI Integrations, Mocking AI Responses, Contract Testing, Load Testing AI Services, Regression Testing with AI | |
Expert | Scaling AI in Spring | Running AI in Production, Horizontal Scaling, Caching Strategies, Performance Tuning, Load Balancing AI Services |
Enterprise Security + AI | Enterprise Authentication (OAuth2, JWT), Data Privacy, Responsible AI Guidelines, PII Handling, Auditing | |
AI Deployment Strategies | On-Prem LLM Integration, Hybrid Cloud AI, Model Fine-Tuning, Model Hosting, Custom AI Endpoints | |
Emerging Trends in Spring AI | RAG at Scale, Multi-Agent Systems, AI Governance, Observability 2.0, AutoML Integration | |
Best Practices & Pitfalls | Avoiding Hallucinations, Cost Optimization, Versioning Prompts, Failover Strategies, Continuous Improvement |
25 August 2025
#Spring_AI
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