Join Coding Now – Gurukul of AI. Master autonomous AI agents with LangChain, LangGraph, CrewAI, AutoGen & multi-agent systems. The most advanced Agentic AI program in Tri Nagar. Batch July 2026.
Agentic AI is the next frontier — AI systems that can reason, plan, and act autonomously. Companies are paying ₹18–40 LPA for developers who can build these systems.
Responds to one prompt → gives one answer. Static, no tool access, no memory, cannot take actions.
Plans multi-step tasks → uses tools (search, code, APIs) → remembers context → takes autonomous actions → delivers results.
Build autonomous AI systems from scratch — from simple agents to complex multi-agent orchestrations.
Build ReAct, Plan-and-Execute, and Reflection agents. Understand reasoning loops, structured planning, and self-critique patterns.
Build stateful agents with conditional edges, cycles, and human-in-the-loop. Create complex, production-ready agent workflows.
Design teams of agents (planner, writer, critic) using CrewAI and AutoGen. Implement role-based collaboration patterns.
Implement short-term, vector semantic, and long-term persistent memory for intelligent context retention across sessions.
Connect agents to search, databases, calculators, custom APIs, and code executors with robust error handling.
Deploy agent systems as REST APIs with FastAPI + Docker. Use LangSmith for tracing, evaluation, and continuous improvement.
4-month intensive program at Coding Now Tri Nagar. Build 5 production-grade agentic AI systems.
| Module | Topics Covered | Duration |
|---|---|---|
| Module 1 LLM Foundations & Prompting | LLM API integration, function calling, advanced prompting (chain-of-thought, few-shot, tree-of-thoughts) | 1 Week |
| Module 2 LangChain Components & Chains | LCEL, retrieval chains, memory, callbacks, and basic chains composition | 2 Weeks |
| Module 3 ReAct Agents & Tool-Using Agents | ReAct paradigm, toolkits (search, calculator, database), agent executors, error handling | 2 Weeks |
| Module 4 LangGraph – Stateful Workflows | Graph nodes, edges, conditional branching, cycles, human-in-the-loop, persistence | 2 Weeks |
| Module 5 Multi-Agent Orchestration – CrewAI | Role-based agents, task definitions, sequential/hierarchical processes, tool integration | 2 Weeks |
| Module 6 Multi-Agent Orchestration – AutoGen | Conversational agents, UserProxy, AssistantAgent, GroupChat, tool support | 1 Week |
| Module 7 Advanced Memory & Planning | Vector memory (Chroma, Pinecone), long-term memory with SQLite, Plan-and-Execute, LLMCompiler | 2 Weeks |
| Module 8 Agent Evaluation & Observability | LangSmith tracing, evaluation datasets, metrics, A/B testing, and continuous improvement | 1 Week |
| Module 9 Deployment & Security | FastAPI, Docker, Kubernetes, serverless deployment, prompt injection defense, guardrails | 2 Weeks |
| Module 10 Capstone Project | End-to-end agent system: research assistant, customer support, or multi-agent coding team | 3 Weeks |
Every student builds and deploys 5 production-grade agentic AI systems during the course.
Multi-agent team (researcher, summarizer, writer) that searches the web, reads papers, synthesizes findings, and writes structured reports.
LangGraph agent with memory that handles tickets, retrieves knowledge base, and escalates to human with full context.
CrewAI team (planner, writer, reviewer) that writes code, runs it, fixes bugs, and commits working solutions to GitHub.
AutoGen agent that plans itineraries, searches flights/hotels, and books reservations using external APIs and tools.
Agentic AI course location — Tri Nagar. Well-connected to all parts of Delhi.
Everything about the Agentic AI course in Tri Nagar, Delhi.
Join the best Agentic AI course in Tri Nagar. Batch starts July 2026 — only 20 seats per batch. Book your free demo today.
Tri Nagar, New Delhi – 110035
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