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Home› Courses› Agentic AI Course
🔥 New — First in Hyderabad 📍 Dilsukhnagar, Hyderabad ✅ Completion Terms Apply

Agentic AI Course

Build AI agents that plan, decide and act autonomously — using LangChain, CrewAI, AutoGen and LangGraph. One of the first Agentic AI courses available in Hyderabad, taught by an active MNC AI Engineer with live production experience building autonomous systems.

⏱
DURATION
8 Weeks
🎯
LEVEL
Intermediate to Advanced
💻
MODE
Online · Offline · Hybrid
🏆
CERTIFICATE
Industry Certificate

Tools & Technologies You Will Learn

LangChain CrewAI AutoGen LangGraph Python OpenAI API Anthropic Claude API Tavily Search ChromaDB FastAPI Docker Hugging Face
Enroll on WhatsApp → View Curriculum
Agentic AI Course at LearnAI Tech Hub ⚡
Free Demo Available
Contact us for current batch fees & EMI options
  • ⏱ Duration: 8 Weeks
  • 🎯 Level: Intermediate to Advanced
  • 💻 Online · Offline · Hybrid
  • 🏆 Completion certificate after meeting course requirements
  • 📁 Guided project and portfolio preparation
  • 🧭 Prerequisites explained before enrollment
  • 📞 Current trainer and batch details available before payment
Ask About Enrollment Book Free Demo Class Call: +91 93900 23585

Ask for the current syllabus, trainer, schedule, fees and support terms before enrolling.

About This Course

Agentic AI: the most powerful skill in technology in 2026

Generative AI lets you generate content. Agentic AI lets you build systems that think, plan and execute — autonomously. An AI agent can browse the web, write and run code, interact with APIs, manage files, coordinate with other agents and complete complex multi-step tasks with minimal human input. This is the technology that is fundamentally changing how companies operate.

At LearnAI Tech Hub, this course takes you through the complete Agentic AI stack — from understanding what agents are and how they work, to building real production-grade multi-agent systems using LangChain, CrewAI, AutoGen and LangGraph. By week 8, you will have built 4 real AI agents and have a portfolio that positions you for the highest-demand AI engineering roles in the market.

What makes this course different

🏭
Taught by an active AI Engineer building agents in production

Your trainer builds autonomous AI systems for a Fortune company right now. Every concept comes from live production architecture — not theoretical examples.

⚡
Build 4 real AI agents during the course

A research agent, a coding agent, a multi-agent business workflow and a full Agentic AI application — all production-ready and portfolio-worthy.

🌊
Covers the full Agentic AI stack — 2026

LangChain, CrewAI, AutoGen, LangGraph, tool use, memory systems, RAG, vector databases and multi-agent orchestration — all in one course.

💼
One of the rarest skills in India right now

Agentic AI engineers are among the highest-paid AI professionals. Supply is extremely limited. This course puts you years ahead of the competition.

Course Curriculum

8 modules · 8 Weeks · Guided practical work

The sequence below describes the current course plan. Ask for the dated batch syllabus because tools and module order may change.

01
Foundations of AI Agents
8 topics · Week 1
What is an AI agent and how it differs from GenAI
The agent loop: Perceive → Plan → Act → Observe
Types of agents: ReAct, Tool-use, Memory agents, Multi-agent
Agent memory: short-term, long-term and episodic memory
Tool calling — how LLMs interact with external systems
Hands-on: Build your first simple agent from scratch in Python
02
LangChain — The Agent Framework
10 topics · Week 2
LangChain architecture: chains, agents, tools, memory
LCEL — LangChain Expression Language for composable pipelines
LangChain agents: ReAct, OpenAI Functions, Structured Chat
Tool creation: custom tools, API tools, web search tools
LangSmith for tracing, debugging and evaluating agents
Real project: Research agent that browses web and summarises findings
03
RAG Systems — Giving Agents Knowledge
10 topics · Week 3
Retrieval Augmented Generation (RAG) — why and how
Embeddings and vector databases — ChromaDB, Pinecone, FAISS
Document loading, chunking and indexing strategies
Semantic search vs keyword search — when to use each
Advanced RAG: hybrid search, re-ranking, contextual compression
Real project: AI knowledge base agent that answers from private documents
04
CrewAI — Multi-Agent Collaboration
10 topics · Week 4
CrewAI architecture: agents, tasks, crews and processes
Defining roles, goals and backstories for specialised agents
Sequential, hierarchical and parallel task execution
CrewAI tools: web search, file read/write, code execution
Inter-agent communication and task handoff
Real project: 3-agent research + writing + review crew for automated content
05
AutoGen — Microsoft's Multi-Agent Framework
8 topics · Week 5
AutoGen architecture and core concepts
Conversable agents and group chat setup
Human-in-the-loop integration with AutoGen
Code execution agents — automated programming with AI
AutoGen Studio — no-code agent building interface
Real project: Automated data analysis agent using AutoGen with code execution
06
LangGraph — Stateful Agent Workflows
10 topics · Week 6
LangGraph vs LangChain agents — when to use which
Graph-based state machines for complex agent workflows
Nodes, edges, conditional routing and state management
Cycles, loops and human-in-the-loop in LangGraph
Persisting agent state across sessions
Real project: Complex multi-step business process automation with LangGraph
07
Production Agentic AI — Deployment & Scaling
8 topics · Week 7
Deploying agents with FastAPI and REST APIs
Agent observability: logging, tracing, error handling
Security for AI agents — prompt injection and guardrails
Cost management and optimisation for production agents
Docker containerisation for agent deployment
Scaling multi-agent systems for real traffic
08
Capstone Project + Career & Placement Prep
8 topics · Week 8
Capstone: Full multi-agent application from design to deployment
Portfolio documentation and GitHub presentation
AI Agent Engineer interview questions and answers
System design interview prep for Agentic AI roles
Resume building for AI Agent roles — what employers want
Direct HR placement referral and mock interviews
Get Full Curriculum on WhatsApp →
Tools & Technologies

Tools used during guided practice

Tool coverage depends on the current syllabus and applicable account or licensing requirements.

🔗
LangChain
👥
CrewAI
🤖
AutoGen
🌊
LangGraph
🐍
Python
⚙️
OpenAI API
🧠
Claude API
🔍
Tavily
💾
ChromaDB
⚡
FastAPI
🐳
Docker
🤗
Hugging Face
Career Relevance

Roles where these skills may be useful

Training does not guarantee a job, salary, promotion or internship. Outcomes depend on prior experience, project quality, assessment performance and employer requirements.

⚡
AI Agent Engineer
AI product companies, AI labs, enterprise tech firms, FinTech startups across India, USA and UAE
🔗
LangChain / LLM Engineer
AI startups, SaaS companies, data companies building AI-native products
🤖
AI Automation Engineer
IT services, consulting firms, enterprise companies automating business processes with AI
🔬
AI Research Engineer
AI labs, R&D departments, Fortune company AI teams across India, USA, UK
💼
AI Solutions Architect
Enterprise consulting firms, cloud companies, Fortune companies designing AI systems
🌊
ML Engineer (Agentic)
Product companies, AI-first startups, healthcare and finance tech companies
Ask for current career-support terms
We can explain the included resume, portfolio and interview support before enrollment. Employer decisions remain independent.
Who Is This For

This course is designed for you if…

🧑‍💻
Software developers and Python programmers

If you already code in Python and want to enter the AI engineering space — Agentic AI is the fastest path to the highest-demand and highest-paid roles.

🤖
Generative AI learners who want to go deeper

If you can use ChatGPT and Claude but want to build systems that act autonomously — this is the natural progression that takes you from user to builder.

📊
Data Scientists and ML Engineers

Add agentic capabilities to your ML skills. Companies are actively looking for ML professionals who can build autonomous AI workflows on top of existing models.

🔬
R&D and research-oriented learners

Agentic AI is at the frontier of what AI can do. If you are interested in AI research, publishing papers or working on cutting-edge systems, this course is essential.

🏢
Technical team leads and architects

Understand how to design, evaluate and scale Agentic AI systems for enterprise use — so you can lead AI adoption initiatives with genuine technical depth.

🎓
Final year B.Tech / M.Tech students

An Agentic AI project in your final year portfolio — especially one using LangChain or CrewAI — will set you apart from every other candidate at placement drives.

Prerequisites

Basic Python programming (variables, functions, loops) Understanding of what LLMs and ChatGPT do Laptop with 8GB+ RAM No prior ML or AI experience required beyond basics
FAQs

Questions about Agentic AI Course?

Not finding your answer? Ask for the current syllabus, prerequisites, trainer, fees and batch schedule.

Ask on WhatsApp →
Generative AI creates content when you prompt it. Agentic AI goes further — it builds systems that autonomously plan, use tools, call APIs, make decisions and execute multi-step tasks to complete goals without constant human instruction. An AI agent can research a topic, write a report, send an email, update a database and generate a presentation — all on its own.
No. You need basic Python programming — variables, functions, loops and basic libraries. We teach everything else from scratch. You do not need to know how to train ML models to build effective AI agents.
LangChain, CrewAI, AutoGen, LangGraph, and direct API integration with OpenAI and Anthropic Claude. You will also use ChromaDB, Tavily Search, FastAPI and Docker.
Yes. As of 2025, dedicated Agentic AI courses teaching the full stack — LangChain, CrewAI, AutoGen, LangGraph together — were extremely rare in Hyderabad. LearnAI Tech Hub was among the first to offer a structured, practical Agentic AI programme taught by an active MNC AI Engineer.
AI Agent Engineer, LLM Engineer, AI Automation Engineer, AI Research Engineer and AI Solutions Architect are the most common placements. Our HR team actively places Agentic AI graduates across AI startups, product companies and Fortune firms in India, USA and UAE.
The course is challenging but structured. We start from what an agent is, build your first simple agent in week 1, and gradually progress to multi-agent systems by week 6. Your trainer has mentored hundreds of students through this exact progression. If you can code basic Python, you can complete this course.
Ready to start?

Review the Agentic AI Course before you enroll

Book a free demo to review the teaching approach, prerequisites, current trainer, syllabus, schedule, fees and project expectations.

Ask for Current Batch Details → Call: +91 93900 23585

📍 Dilsukhnagar, Hyderabad · Online across India & Internationally · Mon–Sat 9AM–8PM

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