Curated List of Eleven Hands-On Courses on Agentic AI and Multi-Agent Systems

X postSwapna Kumar PandaResource

Swapna Kumar Panda has compiled eleven practical courses focused on agentic AI. The selection covers beginner-friendly tutorials as well as in-depth curricula on LangGraph, Claude Code, enterprise RAG, and multi-agent workflows.

Key points

  1. In-depth courses cover foundational frameworks including LangChain, LangGraph, RAG, vectorless RAG, evaluation methods, and guardrails.
  2. Targeted modules focus on Claude Code, dedicated coding agents, and the Hermes Agent.
  3. Architectural blueprints feature multi-agent systems using MCP, supervisor patterns, human-in-the-loop (HITL) control, and deployments on AWS and Render.
  4. The list caters to different experience levels, including a 25-minute zero-code introduction and enterprise-grade application courses.

Why it matters

As AI development shifts from simple prompt execution to autonomous orchestration, structured hands-on material helps engineers implement reliable multi-agent setups with proper governance and human oversight.

Analysis

Panda's list highlights the dominant tooling and design patterns in current agent development: LangGraph for orchestration, MCP for protocol interfaces, and strict focus on guardrails, evaluation, and HITL for production safety.

Original post

Swapna Kumar Panda

@swapnakpanda · 27 September 2026

Go GOD Level in Agentic AI by finishing these practical courses:

1.4k likes17 replies4.8k bookmarks167.5k views

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More posts in the thread (12)
  1. 1. Agentic AI Complete Couse (~10 Hours) - Langchain, Langgraph, RAG,Vectorless RAG, Guardrails,Evals t.co/69HrBUQ43b t.co/3hEo5kN8Wt
  2. 2. Build your first AI Agent t.co/SHq5wd0nwJ t.co/saCKrgZYLA
  3. 3. First AI Agent in 25 minutes (zero coding) t.co/NpaWxy0G1g t.co/ug1bC1rjER
  4. 4. Claude Code Full Course (~12 Hours) - Build Real AI Projects t.co/zc2nkWYpHV t.co/piOJ182B9V
  5. 5. LangGraph Complete Course (~6 Hours) t.co/i6xo87P5HF t.co/pu3m2HTwlB
  6. 6. Build Enterprise-Grade RAG Applications t.co/xaszz0Oxix t.co/0yHGjApPB8
  7. 7. Build an End-to-End Multi-Agent AI System - LangGraph, MCP, Supervisor, Guardrails Safety & HITL t.co/pLJq3spopD t.co/3dpeHiRebi
  8. 8. Build End-to-End Agentic Chatbot - LangGraph, LangSmith, RAG, HITL, AWS & Render t.co/hxa2CHbQMO t.co/TikrCczC5r
  9. 9. Build an AI Coding Agent t.co/argEbiGHe2 t.co/ax8x5EEl0F
  10. 10. Agentic AI Complete Course for Beginners t.co/eykVxeg0Dc t.co/5k8K2SgOly
  11. 11. Building with Hermes Agent t.co/uDIAlDEz9q t.co/YY2GLg09sj
  12. @indentfour Completely agree.
Selected replies (5)
  • @indentfour @swapnakpanda This is a really strong list. I'd supplement this with blog posts from frontier labs and tech companies. Anthropic in particular has some excellent content for the conceptual side of building agents and solutions
  • @hsarkar @indentfour @swapnakpanda @grok list the top 10 upto date posts from anthropic.
  • @Anmoltwts @swapnakpanda Can a person who doesn’t understand a single thing about ai,coding learn this? But I’m interested hugely in ai
  • @_lazygoku @swapnakpanda @threadreaderapp unroll
  • @_jaydeepkarale @swapnakpanda Thanks for the recommendations ✅️

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Summary generated by AI (Gemini 3.8 Flash, 29 September 2026). It may contain errors – the original source is authoritative.

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