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AI Agent Engineering: Build Production-Ready AI Agents (Udemy)

Master AI Agents, RAG, MCP, Memory, Planning, Multi-Agent Systems, LangGraph, CrewAI and LangChain in 21 Days

4.74.7(1.2K)(1,231 reviews)Created by: Pankaj ShuklaLast updated 10/2026

Our take

AI Agent Engineering: Build Production-Ready AI Agents is a all level AI Agents & Agentic AI course from Pankaj Shukla on Udemy. It runs about 37 hours, and holds 4.7★ from 1,231 students in our Udemy course reviews.

Best for: all level learners who want one guided path through AI Agents & Agentic AI. Skip it if: You already work professionally in AI Agents & Agentic AI and need advanced architecture patterns.

✅ Pros
  • Clear explanations that start from zero
  • Hands-on exercises after every major topic
  • Fresh 10/2026 content and lifetime access
❌ Cons
  • Pace accelerates in the middle sections
  • Limited advanced, production-scale projects
  • Long: budget several weeks to finish

📘 What you will learn

  • Build AI agents from scratch using Python and understand the core architecture behind modern AI agents.
  • Build AI assistants with conversation memory, tool usage, document processing, and Retrieval-Augmented Generation (RAG).
  • Design autonomous AI agents with planning, reasoning, memory, and advanced RAG capabilities.
  • Build and integrate AI agents using the Model Context Protocol (MCP) and connect them to external tools and data sources.
  • Design and orchestrate multi-agent systems where multiple specialized AI agents work together to solve complex problems.
  • Build production-ready AI agents using LangGraph, CrewAI, and LangChain.
  • Build a complete AI Research Agent capable of researching information, verifying findings, maintaining research notes, and generating structured reports.
  • Deploy AI agent applications and build a complete Research AI Agent Platform as a capstone project.

📑 Course content

22 sections · 292 lectures · 37 hours of video · updated 10/2026

  1. Getting started — 49 lectures · 6.2h
  2. Core foundations — 41 lectures · 5.1h
  3. Building real projects — 46 lectures · 5.8h
  4. Intermediate techniques — 46 lectures · 5.9h
  5. Deep dive & best practices — 52 lectures · 6.6h
  6. Capstone project — 29 lectures · 3.7h
  7. Next steps — 29 lectures · 3.7h

🎯 Who it is for

Suits: Complete beginners, career switchers, and self-taught devs who want structure.

Needs: https://trk.udemy.com/c/6591367/3227798/39854?prodsku=course.7325191&u=https%3A%2F%2Fwww.udemy.com%2Fai-agent-engineering&intsrc=APIG_26324

👤 Instructor

Pankaj Shukla — I am Pankaj Shukla, an IIT Delhi Master of Techology in Computer Science and Engineering with more than 25 years of experience in Information Technology, Artificial Intelligence, Data Science, digital learning, emerging technologies, and technology-enabled education. I spent over two decades with NIELIT under the Ministry of Electronics and Information Technology, Government of India, progressing from Scientist B to Additional Director. I chose to leave government service early to begin a new chapter dedicated to what I genuinely enjoy — teaching, learning, and making technology easier to understand. My teaching philosophy can be expressed in four words: “Don’t Memorize. Understand.” I believe that a good teacher should make a difficult concept feel simple without compromising its technical depth. My focus is not just on showing learners what to do, but on helping them understand why something works, why it is needed, and how different concepts connect with each other. My courses combine clear conceptual explanations with extensive hands-on practice. Learners move progressively from fundamentals to implementation, experimentation, problem-solving, and building complete applications. My current areas of teaching include Artificial Intelligence, Generative AI, AI Agents, Agentic AI, RAG, MCP, LangGraph, LangChain, Multi-Agent Systems, Python, Data Science, and other technologies shaping modern AI development. My first Udemy course, “AI Agent Engineering: Build Production-Ready AI Agents,” has reached learners across more than 74 countries and has also been included in Udemy Business. The response has strengthened my belief that learners everywhere appreciate explanations that are clear, practical, and free from unnecessary jargon. Technology will keep changing. Today’s popular framework may eventually be replaced by something better. That is why I place greater emphasis on concepts, fundamentals, problem-solving, and the ability to learn independently rather than simply memorizing tools or syntax. Above everything else, I believe teaching carries a responsibility. Learner value, honesty, quality, and trust should always come before numbers or trends. My goal is simple: if a learner finishes one of my courses understanding something that previously seemed difficult, the course has served its purpose. Let’s learn by understanding.

All courses by Pankaj Shukla →

❓ FAQ

Is AI Agent Engineering: Build Production-Ready AI Agents suitable for beginners?

Yes — it is rated "all level" and starts from the fundamentals, though beginners should budget extra time for the practice exercises.

How often is the course updated?

Last updated 10/2026. Lifetime access means future refreshes are included at no extra cost.

Is it worth the price?

At $54 with a 4.7★ average from 1,231 students, our Udemy course reviews put it above most AI Agents & Agentic AI alternatives.

Reviews (1,231)

4.7 · 1,231 ratings on Udemy
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