Agentic AI Course Online

12 Lesson

25 Hours

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Agentic AI is redefining how businesses automate decisions, not just tasks. igmGuru's Agentic AI Training helps you move beyond basic prompting into building autonomous, goal-driven agents using LangChain, LangGraph, CrewAI, and MCP. Through real projects and mentor-led sessions, you'll learn to design, deploy, and monitor production-ready AI agents - gaining the practical, job-ready skill set that today's enterprises are actively hiring for.

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Agentic AI Course Overview

Agentic AI marks the shift from AI that simply responds to AI that reasons, plans, and acts on its own. Where earlier generative AI tools needed constant human prompting, agentic systems can break down goals, call tools, retrieve knowledge, and complete multi-step workflows with minimal supervision. igmGuru's Agentic AI Course is built around this shift, combining live instruction with hands-on labs covering agent architecture, multi-agent orchestration, RAG pipelines, and real-world deployment - so you graduate with skills that map directly to what hiring teams want right now.

Agentic AI Students Also Learn

Prerequisites

Basic understanding of Python programming
Familiarity with fundamental machine learning or generative AI concepts (helpful, not mandatory)
Working knowledge of APIs and how web services communicate
No prior experience with LangChain, CrewAI, or agent frameworks is required - these are taught from the ground up

Course Objectives

By the end of this program, you'll be able to design, build, and deploy intelligent agents that work independently across real business workflows.

Understand the core architecture behind autonomous AI agents
Build multi-agent systems using LangGraph and CrewAI
Implement Agentic RAG and GraphRAG for context-aware reasoning
Integrate agents with external tools and APIs using MCP (Model Context Protocol)
Deploy and monitor agents in production environments
Apply human-in-the-loop and governance practices for safe agent behavior

What You Will Learn

This Agentic AI Online Training takes you from foundational concepts to advanced, deployable agent systems:

Foundations of agentic AI vs. traditional generative AI workflows
Prompt engineering and reasoning patterns for autonomous agents
Building single-agent and multi-agent pipelines
Memory management, planning, and task decomposition in agents
Retrieval-Augmented Generation (RAG) and Agentic RAG techniques
Connecting agents to real-world tools, databases, and workflow automation systems
Observability, evaluation, and debugging of live agent systems
Ethical safeguards, compliance, and responsible AI deployment practices
A capstone project simulating an enterprise-grade autonomous agent use case

Who is this course for?

This course is designed for those who want to build, deploy, and manage autonomous AI agents as part of their AI career.

Software developers and backend engineers
Machine learning engineers and data scientists
Generative AI practitioners looking to specialize
Product managers and architects working on AI-driven products
Working professionals exploring a career pivot into AI
Students and freshers aiming for entry-level AI roles

Tools and Technologies Covered

This Agentic AI Certification gives you hands-on exposure to the exact stack used in production agentic systems today.

LangChain and LangGraph
CrewAI
AutoGen
MCP (Model Context Protocol)
DSPy
n8n for workflow automation
FastAPI for backend integration
Streamlit for rapid agent interfaces
Docker for containerized deployment
Vector databases for RAG pipelines

Career Outcomes

Completing this training opens doors to some of the fastest-growing roles in the AI job market.

Agentic AI Engineer
AI Agent Developer
LLM/RAG Engineer
AI Solutions Architect
Generative AI Engineer
AI Automation Specialist
AI Product Engineer

Average Salary of Agentic AI Professionals and Hiring Companies

Agentic AI skills currently command a strong pay premium over generalist AI roles, and that gap is expected to widen as adoption scales through 2026.

Experience Level	Estimated Annual Salary (India)	Estimated Annual Salary (Global)
Entry-Level (0-2 yrs)	₹6 - ₹12 LPA	$90,000 - $120,000
Mid-Level (2-5 yrs)	₹12 - ₹30 LPA	$120,000 - $180,000
Senior-Level (5+ yrs)	₹30 - ₹60+ LPA	$180,000 - $250,000+

Hiring Companies: OpenAI, Google DeepMind, Cognizant, Infosys, Deloitte, and Fortune 500 Startups in the AI automation space.

Why Choose igmGuru for This Training?

igmGuru's certified trainers have guided thousands of professionals into successful AI careers, backed by practical, industry-aligned training. The following are the reasons learners choose igmGuru for this training.

Live, instructor-led sessions with industry practitioners
Curriculum updated continuously to match real-world agentic AI tools
Hands-on projects and a capstone aligned with enterprise use cases
Lifetime access to recorded sessions and course material
Dedicated mentor support and doubt-resolution sessions
Certificate recognized by hiring teams and recruiters
Flexible weekday and weekend batch options
Resume building, mock interviews, and placement assistance

Key Features

Instructor Led Training: 25 Hrs
Experienced & Professional Trainers
24 X 7 Lifetime Support & Access
Small Batches

Agentic AI Course Modules

Lesson 1 - Introduction to Agentic AI

1. What is Agentic AI?

2. Difference between traditional AI and agentic systems

3. Overview of autonomous agents and their applications

Lesson 2 - Fundamentals of Large Language Models (LLMs)

1. Understanding LLMs (GPT-3, GPT-4, Claude, etc.)

2. How LLMs enable agentic behavior

3. Basics of prompt engineering and interaction

Lesson 3 - Building Simple Autonomous Agents

1. Designing reflex and goal-based agents

2. Integrating LLMs with Python

3. Creating your first basic AI agent

Lesson 4 - Tool and API Integration

1. Connecting agents with external APIs and services

2. Using tools like search engines, calculators, file systems

3. Agents with real-time data access

Lesson 5 - Memory in AI Agents

1. Concepts of short-term and long-term memory

2. Implementing memory using vector databases (FAISS, Chroma)

3. Managing context for multi-turn conversations

Lesson 6 - Task Planning and Workflow Automation

1. Designing multi-step plans and task decomposition

2. Using frameworks like LangChain for chaining agent actions

3. Automating complex workflows with autonomous agents

Lesson 7 - Advanced Agent Architectures

1. Recursive reasoning and self-reflection in agents

2. Implementing error handling and fallback strategies

3. Ensuring reliability and robustness

Lesson 8 - Multi-Agent Systems

1. Designing multi-agent collaborations and role assignments

2. Communication protocols between agents

3. Case studies and practical applications

Lesson 9 - Popular Agent Frameworks

1. Deep dive into AutoGPT, BabyAGI, and CrewAI

2. Hands-on projects with these frameworks

3. Customizing and extending agent capabilities

Lesson 10 - Ethics, Safety, and Best Practices

1. Reducing hallucinations and ensuring output accuracy

2. Ethical considerations in autonomous AI deployment

3. Safety guidelines and alignment techniques

Lesson 11 - Real-World Applications and Deployment

1. Applying agentic AI in research, content creation, customer support and automation

2. Deployment strategies and cloud integration

3. Monitoring and maintaining autonomous agents

Lesson 12 - Future Trends and Next Steps

1. Emerging technologies in agentic AI

2. Preparing for advanced agent development

3. Resources for continuous learning

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Agentic AI Training Fees and Batch Details

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 25 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 06 Jul 2026
Weekday Batch 06 Jul 2026
Weekend Batch 11 Jul 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

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Agentic AI Certification

Upon completing the Agentic AI Course and its assessments, learners will receive an igmGuru Course Completion Certificate that validates their skills in designing and building autonomous AI agents using advanced tools like AutoGPT and LangChain. While there is currently no official industry-wise certification for agentic AI, this certificate demonstrates practical expertise in this emerging field and complements foundational AI certifications such as Microsoft's AI-900.