Home Learn Workshops YouTube About Contact Invite Me →
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.