Building modern AI-powered applications using Spring AI 2.0 with Spring Boot 4, integrating powerful models from Anthropic and OpenAI. This series focuses on practical, real-world implementation, helping you design and develop intelligent systems using Java and the Spring ecosystem.
The content goes beyond basics and covers advanced capabilities like multimodal AI, Model Context Protocol (MCP), and tool calling, enabling you to build highly interactive and context-aware applications. Each concept is explained with hands-on examples so you can apply it directly in real projects.
From prompt handling to memory, embeddings this series is designed to give you a complete understanding of how modern AI applications are built using Spring AI.
Videos in this playlist 4
Gen AI with Spring AI
Building a Clone of ChatGPT | Spring AI
Prompt Template | Spring AI
Vectors Embeddings | Spring AI
Advantages and disadvantages
Advantages
Free and complete: every lecture is in the playlist, in order.
Watch at 1.5x, skip what you know, rewatch what you don't.
Taught in Hindi (or Hinglish), which many students find easier to follow.
Made for Indian students, with placement and exam context.
Completely free.
Self-paced: start any time.
A clear syllabus (4 videos) you can see before you start.
Start watching right away, no sign-up.
Disadvantages
No certificate, deadlines or graded work.
Quality and depth vary: check that the playlist is finished before you start.
Less depth than a university course on some topics.
No certificate.
Short (4 videos, 1.5 hours): an overview, not deep coverage.
No graded assignments or feedback.
Some points apply to every course of this kind; see how we rank.
Free
Free: Watch on YouTube, no account needed.
Certificate: None. Code or take notes along to make it stick.
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