Free 10-Hour Agentic AI Course by Krish Naik: LangChain to LLM Gateways, Section by Section

By far this is the most (practical) Agentic AI course. LangChain to LLM gateways everything. 8 structured sections built for developers. LangChain (0:00 – 2:35) → Chains, prompts, tools, memory → Build your first LLM-powered app LangGraph (2:35 – 5:02) → Stateful multi-agent workflows → Nodes, edges, conditional routing RAG (5:02 – 7:10) → Retrieval-Augmented Generation from scratch → Document loading, embeddings, vector search Vectorless RAG (7:10 – 8:02) → RAG without embedding models → LLM-based reasoning retrieval instead Deep Agents (8:02 – 8:45) → Autonomous agent architectures → Tool use, planning, memory loops Guardrails (8:45 – 9:22) → Keep agents safe and in-scope → Input/output validation, constraint enforcement LLM Evaluation (9:22 – 10:30) → Measure what your agent actually does → Accuracy, hallucination, retrieval metrics LLM Gateways (10:30+) → Route across multiple LLM providers → Fallbacks, cost control, observability Check it here: https://lnkd.in/dBds9Y9V By Krish Naik - one of the most followed AI educators

A genuinely practical, free Agentic AI course — LangChain to LLM gateways, in 8 structured sections.

By Krish Naik, one of the most followed AI educators, this ~10-11 hour course covers:

LangChain (0:00–2:35) — Chains, prompts, tools, and memory; building your first LLM-powered app.

LangGraph (2:35–5:02) — Stateful multi-agent workflows using nodes, edges, and conditional routing.

RAG (5:02–7:10) — Retrieval-Augmented Generation from scratch: document loading, embeddings, and vector search.

Vectorless RAG (7:10–8:02) — RAG without embedding models, using LLM-based reasoning retrieval instead — built on the PageIndex approach.

Deep Agents (8:02–8:45) — Autonomous agent architectures: tool use, planning, and memory loops.

Guardrails (8:45–9:22) — Keeping agents safe and in-scope through input/output validation and constraint enforcement.

LLM Evaluation (9:22–10:30) — Measuring what an agent actually does: accuracy, hallucination, and retrieval metrics.

LLM Gateways (10:30+) — Routing across multiple LLM providers, with fallbacks, cost control, and observability.

Free on YouTube, with supplementary GitHub notebooks for each section.