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Agentic AI Course — Build AI Agents That Survive Production

The newest specialisation in AI engineering, taught honestly. Learn to build AI agents with LangGraph and CrewAI — tool calling, multi-agent systems, agentic RAG, evaluation and guardrails — and deploy them for real. ₹35,000 with 100% placement support. Next batch: July 12, 2026.

LangGraph · CrewAITool calling & agentic RAGEvaluation & guardrails5.0★ on Google Reviews
Agentic AI Course India — build production AI agents with LangGraph and CrewAI, tool calling, agentic RAG and guardrails, live online training

Why take an agentic AI course now?

Honest about the hype

Autonomous agents compound errors — we teach the constraints (evaluation, guardrails, human-in-the-loop) that make agents production-safe, not conference-demo magic.

First-mover skill set

Agentic AI is the newest, least-crowded specialisation in AI hiring. Candidates with deployed LangGraph/CrewAI projects are rare — your portfolio stands out.

Developer track, real code

This is a Python engineering course — not a no-code tour. You write, test, and deploy every agent you build.

New to agents entirely? Read the free explainer AI Agents Explained first. Looking for no-code business automation with n8n instead of Python agent engineering? That is the AI Automation Course — a different track for a different goal.

Agentic AI course syllabus — 8 modules

MODULE 1

LLM Foundations for Agents

Model APIs (GPT-5, Claude, Gemini), structured output, function/tool calling — the primitives every agent is built from.

MODULE 2

Your First Agent — Tool Use

Build a research agent that plans, calls tools (search, code, APIs), and handles failures — the core agent loop.

MODULE 3

LangGraph Orchestration

Graph-based agent design: state machines, conditional edges, persistence, streaming — how serious teams structure agents.

MODULE 4

Multi-Agent Systems with CrewAI

Role-based agent teams, task delegation, agent-to-agent communication — and when multi-agent is overkill.

MODULE 5

Agentic RAG

Agents that decide what to retrieve and when — combining retrieval, reasoning and tool use over private data.

MODULE 6

Evaluation & Guardrails

Why demos lie: compounding error rates, eval harnesses, output validation, and safety guardrails for production.

MODULE 7

Human-in-the-Loop Patterns

Approval checkpoints, escalation, and audit trails — how real companies deploy agents without losing control.

MODULE 8

Deploy & Monitor Agents

FastAPI + Docker + AWS deployment, cost/latency budgets, tracing and monitoring for agent systems.

Agentic AI course fees

₹35,000complete program

  • ✓ 16 weeks of live weekend classes with direct instructor feedback
  • ✓ 4 deployed agent projects on your GitHub portfolio
  • ✓ Lifetime access to recordings
  • ✓ 100% placement support — resume, mock interviews, referrals
  • ✓ 1-week money-back guarantee · early-bird ₹32,000

Wondering how fees compare across providers? See AI course fees in India — ₹0 to ₹4 lakh compared.

Agentic AI course — questions answered

What is agentic AI, and what does this course teach?+

Agentic AI is the practice of building systems where LLMs do not just answer questions but plan, use tools, and complete multi-step tasks autonomously. This agentic AI course teaches you to design and build such agents hands-on: tool calling, LangGraph state machines, CrewAI multi-agent teams, agentic RAG, human-in-the-loop patterns, evaluation, and production deployment.

What is the agentic AI course fee?+

The complete live program is ₹35,000 — 16 weeks of weekend live classes, deployed agent projects for your portfolio, lifetime recordings, and 100% placement support, with a 1-week money-back guarantee. Early-bird registrations get ₹32,000 pricing.

Do I need prior AI or GenAI experience for this course?+

You need basic Python. The course covers the LLM foundations you need (APIs, prompting, RAG) before going deep into agents. If you are completely new to AI, the full AI course or the generative AI track may be a better starting point — book a free counselling call and we will honestly tell you which fits.

Which frameworks does the agentic AI course use?+

LangGraph (graph-based agent orchestration and state management), CrewAI (role-based multi-agent teams), LangChain tool calling, plus the model APIs — GPT-5, Claude, and Gemini. You also learn evaluation frameworks and guardrails, which are what separate demo agents from production agents.

Are AI agents actually used in production, or is this hype?+

Both exist — and the course is honest about it. Autonomous agents compound errors: a 95%-reliable step chained 10 times is only ~60% reliable. That is why production agent work is mostly about constrained workflows, tool design, evaluation, and human-in-the-loop checkpoints. Companies are hiring exactly for engineers who understand these constraints, and that is what we teach.

Agentic AI course vs AI automation course — which one is for me?+

The AI automation course is for building business workflow automations with n8n and no-code/low-code tools plus LLMs. This agentic AI course is the developer track — writing Python code with LangGraph and CrewAI to build custom agents. If you are a developer or want to become an AI engineer, choose this one; if you want to automate business operations quickly, choose automation.

What jobs can I get after an agentic AI course?+

Roles hiring for these skills in 2026 include AI Engineer, GenAI Engineer, LLM Application Developer, and AI Solutions Engineer — with agent experience increasingly listed as a requirement. Indian packages typically range ₹12–40 LPA depending on experience. Agent-building portfolios stand out because few candidates have real, deployed examples.

What projects will I build in this course?+

Deployable, portfolio-grade projects: a research agent with tool calling and web access, an agentic RAG system over private documents, a multi-agent workflow built with CrewAI (e.g. a content or analysis pipeline), and a production-deployed agent with monitoring, guardrails and human-in-the-loop approval.

Is the training live or self-paced?+

100% live online in weekend batches capped at 10 students, with lifetime access to recordings. You build alongside the instructor and get direct feedback on your agent designs — which matters more in agentic AI than in any other topic, because design mistakes are subtle.

When does the next agentic AI batch start?+

The next batch starts July 12, 2026. Seats are limited to 10 per batch. Book a free counselling call to confirm availability and check fit for your background.

Related agentic AI & GenAI resources

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