Get Started with Mastering Spring AI with Java

Please share a few details to continue viewing this course on Techietact AI Tutor

We will email a 6-digit code. You must verify before continuing.

Email verified

10-digit Indian mobile number starting with 6-9. You may include +91 or spaces; we normalize it.

Programming

Mastering Spring AI with Java

Learn to build AI-powered Java applications with Spring AI. From foundations of AI and LLMs to OpenAI integration, prompt engineering, embeddings, RAG, tool calling, multimodal AI, and running models locally with Ollama. Covers production readiness and deployment.

  • 3 Months Duration
  • 13 Modules
  • Paid Access
Course fee ₹5000.00

Login to enroll and access modules, quizzes, and AI tutoring.

Login to Enroll

Learning path

Course Modules

Work through each module and pass quizzes to unlock the next step in your journey.

Module 1 Locked

Module 1 — Foundations of AI for Java Developers

Build foundational understanding of AI, ML, LLMs, and how they apply to applications.

Enroll in this course to access modules.

Learning objectives
  • Understand AI vs traditional software
  • Learn basics of ML and LLMs
  • Understand tokens, prompts, and responses
  • Know limitations and real-world use cases
Module 2 Locked

Module 2 — Introduction to Spring AI

Learn what Spring AI is and how it fits into the Spring Boot ecosystem.

Enroll in this course to access modules.

Learning objectives
  • Understand Spring AI and its architecture
  • Learn core components and model providers
  • Set up a Spring Boot project with Spring AI
Module 3 Locked

Module 3 — OpenAI Integration and API Setup

Configure OpenAI API keys and make your first AI calls from Spring Boot.

Enroll in this course to access modules.

Learning objectives
  • Understand OpenAI API and account setup
  • Manage API keys and application.properties
  • Make first API call and handle errors
Module 4 Locked

Module 4 — Building Your First AI Chat Application

Build a simple chat endpoint and integrate AI responses in REST controllers.

Enroll in this course to access modules.

Learning objectives
  • Use the chat client and message types
  • Send prompts from REST and return AI responses
  • Test with Postman and improve output quality
Module 5 Locked

Module 5 — Prompt Engineering

Write effective prompts and control model behavior with templates and instructions.

Enroll in this course to access modules.

Learning objectives
  • Learn prompt engineering and role-based prompting
  • Use prompt templates and dynamic construction
  • Avoid common mistakes and control behavior
Module 6 Locked

Module 6 — Structured Output Handling

Generate and map AI output to Java objects and design clean API contracts.

Enroll in this course to access modules.

Learning objectives
  • Generate JSON from AI and map to Java objects
  • Use DTOs and handle parsing errors
  • Validate responses and design API contracts
Module 7 Locked

Module 7 — Chat Memory and Context Management

Implement stateful conversations with message and database-backed memory.

Enroll in this course to access modules.

Learning objectives
  • Understand stateless vs stateful and message window memory
  • Use JDBC chat memory and persist conversations
  • Manage and clear context
Module 8 Locked

Module 8 — Embeddings and Vector Databases

Learn embeddings, vector stores, semantic search, and RAG with Spring AI.

Enroll in this course to access modules.

Learning objectives
  • Understand embeddings and cosine similarity
  • Use vector databases and semantic search
  • Introduction to RAG and Spring AI integration
Module 9 Locked

Module 9 — Metadata Filtering and Advanced Retrieval

Add metadata to documents and filter results with conditions and operators.

Enroll in this course to access modules.

Learning objectives
  • Use metadata in AI systems and add to documents
  • Filter with AND, OR, NOT and numeric conditions
  • Apply search optimization techniques
Module 10 Locked

Module 10 — Tool Calling and Function Execution

Let AI trigger Java methods and combine tool calling with chat memory.

Enroll in this course to access modules.

Learning objectives
  • Understand tool calling and design tool interfaces
  • Register tools in Spring AI and invoke programmatically
  • Combine with chat memory for real-world use cases
Module 11 Locked

Module 11 — Multimodal AI (Image, Audio, and More)

Work with image generation, TTS, STT, and binary data in Spring Boot.

Enroll in this course to access modules.

Learning objectives
  • Use multimodal models for image, TTS, STT
  • Handle binary data in Spring Boot
  • Apply to multimodal use cases
Module 12 Locked

Module 12 — Running AI Models Locally

Run models locally with Ollama and compare cloud vs local deployment.

Enroll in this course to access modules.

Learning objectives
  • Understand why run locally and use Ollama
  • Connect Spring AI to local models
  • Compare performance and cost optimization
Module 13 Locked

Module 13 — Monitoring, Logging, and Production Readiness

Make AI applications observable, secure, and ready for production deployment.

Enroll in this course to access modules.

Learning objectives
  • Implement observability, logging, and token monitoring
  • Handle rate limits and secure API keys
  • Optimize performance and deploy
Techietact AI Assistant
Ask me about courses and features

Hello! 👋 I'm your Techietact AI assistant. I'd love to help you! To get started, could you please share your name, email, and contact number?