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LEARNING PATH • AI ENGINEERING

From Python to AI Engineering.

Move beyond prompting. Learn how LLM-powered applications are actually built — embeddings, retrieval, agents and real production patterns.

Python APIs LLM Fundamentals Prompt Engineering Embeddings Vector Databases RAG AI Applications Agents Agentic AI

Who It's For

Python developers who want to move from using AI tools to building AI-powered applications.

What You'll Learn

  • Python for AI engineering
  • LLM fundamentals & prompt design
  • Embeddings & vector databases
  • Retrieval-Augmented Generation (RAG)
  • Building AI agents
  • Agentic AI systems

Hands-On Projects

  • Build a RAG-based Q&A application
  • Create a document search engine with embeddings
  • Build a simple AI agent with tool use
  • Ship an end-to-end AI application

Assignments

  • Prompt engineering exercises
  • Vector database indexing tasks
  • Agent design scenarios
FREE YOUTUBE CONTENT

AI Engineering, Explained Simply

Watch the full AI Engineering playlist for free, in Marathi, before joining any paid program.

AI ENGINEERING TRAINING

Want a structured, guided path?

Python, LLM fundamentals, embeddings, vector databases, RAG and real AI applications — taught by building, not just watching.