Join Coding Hubs School of AI. Learn to build autonomous AI agents with LangChain, LangGraph, MCP & multi-agent orchestration. The most advanced Agentic AI program in North Delhi. Batch July 2026.
Agentic AI is the next frontier — AI systems that can reason, plan, and act autonomously. Companies are paying ₹15–25 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 — tools, memory, planning, multi-agent collaboration.
Build ReAct agents with tool-calling — web search, code interpreter, database access, API calls.
Design complex multi-step workflows with LangGraph — state machines, conditional routing, parallel branches.
Build systems where multiple AI agents collaborate — supervisor agents, worker agents, and orchestration patterns.
Short-term (conversation), long-term (vector store), and episodic memory for intelligent context retention.
Build MCP servers and connect agents to external tools, databases, and APIs using the emerging industry standard.
Deploy agentic systems as REST APIs, Telegram bots, and web apps using FastAPI + Docker + cloud.
4-month intensive program at Coding Hubs School of AI Pitampura. Live API labs with real agents from Day 1.
| Module | Topics Covered | Duration |
|---|---|---|
| Module 1 LLM & Prompt Foundations | LLM APIs (OpenAI, Claude, Gemini), system prompts, structured output, function calling | 1 Week |
| Module 2 Tool Use & Function Calling | OpenAI Tools API, Anthropic tool use, Gemini function calling, custom tool design patterns | 2 Weeks |
| Module 3 LangChain Agents | ReAct agent, OpenAI tools agent, custom tools, agent executor, error handling | 2 Weeks |
| Module 4 LangGraph – Stateful Workflows | Graph nodes, edges, conditional routing, state management, human-in-the-loop | 3 Weeks |
| Module 5 Agent Memory | Buffer memory, vector store memory, summary memory, episodic memory, Redis integration | 2 Weeks |
| Module 6 Multi-Agent Systems | Supervisor-worker pattern, agent handoffs, AutoGen framework, CrewAI, agent communication | 2 Weeks |
| Module 7 MCP & External Integrations | Model Context Protocol (MCP), building MCP servers, connecting to databases, file systems, APIs | 2 Weeks |
| Module 8 Production Deployment | FastAPI agent serving, Telegram bot, web app UI (Streamlit), Docker, cloud deployment, monitoring | 2 Weeks |
Every student builds and deploys 4 production-grade agentic AI systems during the course.
Autonomous agent that searches the web, reads PDFs, synthesizes information, and writes research reports — without human intervention.
Agent that writes code, runs it, fixes bugs autonomously, and commits working solutions to GitHub using tool-use and code interpreter.
Multi-agent customer service system — intent detection, RAG-powered Q&A, escalation to human agent, with full conversation memory.
Agent that reads Excel/CSV files, runs Python code for analysis, creates visualizations, and emails business reports autonomously.
Agentic AI course location — Pearls Best Heights-I, Pitampura. 3 minutes from Pitampura Metro Station (Red Line).
9th Floor, Pearls Best Heights-I, Netaji Subhash Place,
Pitampura, New Delhi – 110034
Everything about the Agentic AI course in Pitampura, Delhi.
Join the best Agentic AI course in Pitampura. Batch starts July 2026 — only 20 seats per batch. Book your free demo today.
9th Floor, Pearls Best Heights-I, Netaji Subhash Place, Pitampura, New Delhi – 110034
Explore Agentic AI across Delhi, or find other courses near Pitampura.
Coding Hubs School of AI — 9th Floor, Pearls Best Heights-I, Netaji Subhash Place, Pitampura, New Delhi 110034 | +91-8448811540
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