Skill Development
Agentic AI
Build autonomous AI agents that think, plan and take actions. Master multi-agent systems using LangChain, CrewAI and AutoGen.
4.8+ rating
200+ enrolled
2 Months
Intermediate
Prerequisite Knowledge: NONE | Education Background: ANY
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This program includes
Industry certificate
Live + recorded sessions
Job placement support
Lifetime access to material
Small batch — personal attention
15+ language support
Recognition
Certification
Official Certification
Earn your certificate and stand out in the job market
Agentic AI
Industry recognised certificate
Add to LinkedIn & resume
QR code verification
What You’ll Achieve
Course Outcomes
Design and build autonomous AI agents that take real-world actions
Build multi-agent systems using LangChain, AutoGen and CrewAI
Connect AI agents to external tools, APIs and databases
Implement planning, memory and reasoning in AI agents
Build browser automation and web scraping agents
Deploy agentic workflows in production environments
Implement tool use, function calling and the ReAct pattern
Get job-ready for AI Agent Developer and Automation Engineer roles
Skill Coverage
Skill-Sets Covered in Agentic AI Program
AI Agent Design
Multi-Agent Systems
LLM Reasoning & Planning
Tool Use & Function Calling
Agent Memory Systems
Web & Browser Automation
Workflow Orchestration
Agent Deployment
Tools & Technologies You Will Learn
Python
FastAPI
Docker
PostgreSQL
Redis
Google Cloud
Jupyter
GitLangChain, CrewAI, AutoGen, Playwright & more
Prerequisite Knowledge
BASIC PYTHON + AI
Education Background
ANY
Age Group
18+ Years
Mode
Classroom + Online
Curriculum
Course Syllabus
1Introduction to Agentic AI
- What are AI Agents? How they differ from chatbots
- Perception, planning, memory and action loop
- Real-world agentic AI applications
- Overview of agent frameworks — LangChain, CrewAI, AutoGen
2LLM Tool Use & Function Calling
- OpenAI function calling and tool use
- ReAct (Reasoning + Acting) pattern
- Building custom tools for agents
- Connecting agents to external APIs
3Agent Memory & Context
- Short-term vs long-term memory in agents
- Vector store memory with ChromaDB and FAISS
- Episodic and semantic memory patterns
- Building agents that remember past conversations
4Multi-Agent Systems
- Designing teams of specialised agents
- CrewAI — roles, tasks and workflows
- AutoGen for conversational multi-agent orchestration
- Project: Research + writer + editor agent pipeline
5Browser & Web Automation Agents
- Playwright and Selenium for browser control
- Building web scraping agents with LLMs
- Form-filling, data extraction and task automation
- Real project: Job application automation agent
6Data & Code Agents
- Agents that write and execute Python code
- Data analysis agents using Pandas and SQL
- Connecting agents to databases and APIs
- File handling and report generation agents
7Deploying Agentic Applications
- Building agent APIs with FastAPI
- Containerising agents with Docker
- Deploying to cloud — AWS and GCP
- Monitoring, logging and error handling for agents
8Capstone Project & Career Prep
- End-to-end agentic AI product build
- Agent safety, guardrails and responsible design
- Portfolio documentation and GitHub showcase
- Interview preparation for AI Agent Developer roles
