Agentic AI Course in Chennai

825 Ratings

Agentic AI Course in Chennai

Build Intelligent AI Agents for the Next Generation of Automation

Learn how to design, develop, and deploy AI agents that can think, plan, make decisions, and perform tasks autonomously. Our Agentic AI Course in Chennai is designed for students, freshers, job seekers, software developers, and working professionals who want to gain practical skills in one of the fastest-growing areas of Artificial Intelligence.

This training program covers AI agent fundamentals, prompt engineering, memory systems, reasoning techniques, workflow automation, tool integration, and real-world Agentic AI applications. Through hands-on projects and expert-led sessions, you will learn how modern AI agents are transforming businesses across industries.

Why Choose Our Agentic AI Training in Chennai?

✅ Instructor-Led Practical Training
✅ Hands-On AI Agent Development Projects
✅ Beginner-Friendly Learning Approach
✅ Real-World Industry Use Cases
✅ Certification Guidance
✅ Flexible Learning Options
✅ Career-Oriented Curriculum
✅ Training for Students and Working Professionals

Who Can Join?

Students and Freshers
Software Developers
AI Enthusiasts
Data Professionals
Automation Engineers
IT Professionals
Entrepreneurs
Anyone Interested in Artificial Intelligence

Start Your Journey into Agentic AI

Gain the knowledge and practical experience needed to build intelligent AI-powered solutions and stay ahead in the rapidly evolving world of Artificial Intelligence.

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₹30000

₹40000

Enroll Now View Syllabus

Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

Yes

Support & Access

Lifetime

Certification

Yes

Skill Level

All

Language

All

Course Objectives

1. What will I learn in this Agentic AI Course?

You will learn how intelligent AI agents are designed, how they make decisions, and how they interact with tools and external systems. The course focuses on practical implementation using modern AI frameworks and real-world applications.

2. How does Agentic AI help in career growth?

Agentic AI skills are becoming valuable across software development, automation, data, and AI-related roles. Learning this technology can help professionals stay relevant in a rapidly evolving technology landscape.

3. Will I gain practical experience during the course?

Yes. The training includes hands-on exercises, real-world scenarios, and project-based learning. This helps learners understand how AI agents are built and deployed in practical environments.

4. Can beginners learn Agentic AI?

Yes. The course starts with fundamental AI concepts before moving into advanced agent development topics. Beginners can gradually build their knowledge through guided learning and practical examples.

Popular Techniques Covered in This Course

AI Fundamentals

Prompt Engineering

Agent Design

AI Workflows

Tool Integration

Agent Deployment

AI Automation

Multi-Agent Systems

Autonomous Decision Making

Memory Management

Get Hands-on Knowledge about Real-Time Projects

Key Features

Edubrights offers Agentic AI Training in virtual mode with expert trainers. Here are the key features,

40 Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 500+ Batches

Certification Guidance

Curriculum

Module 1: Introduction to Agentic AI

Understanding Artificial Intelligence and Generative AI
What is Agentic AI?
Evolution from Traditional AI to AI Agents
Agentic AI vs Chatbots
Real-World Applications of AI Agents
Benefits and Challenges of Agentic AI
Industry Use Cases Across Different Sectors

Module 2: Foundations of AI Agents

Core Components of an AI Agent
Goals, Tasks, and Decision-Making
Understanding Agent Workflows
Inputs, Outputs, and Actions
Agent Architecture Fundamentals
Single-Agent and Multi-Agent Systems
Agent Communication Concepts

Module 3: Prompt Engineering for AI Agents

Fundamentals of Prompt Design
Writing Effective Instructions
Role-Based Prompting
Chain-of-Thought Prompting
Context Management Techniques
Structured Output Generation
Prompt Optimization Best Practices

Module 4: Memory and Context Management

Understanding AI Memory
Short-Term and Long-Term Memory
Context Retention Techniques
Managing Conversations Efficiently
Knowledge Storage Concepts
Context Window Optimization
Memory-Driven Decision Making

Module 5: Tool Usage and External Integrations

Understanding Tool-Enabled Agents
Connecting AI Agents with External Tools
API Integration Concepts
Web Search Integration
Database Interaction Basics
Document Processing Workflows
Automating Repetitive Tasks

Module 6: Planning and Reasoning in AI Agents

Goal-Oriented Thinking
Task Planning Strategies
Problem-Solving Techniques
Multi-Step Reasoning
Decision-Making Frameworks
Autonomous Task Execution
Handling Complex Workflows

Module 7: Building AI Agent Workflows

Designing Agent Workflows
Task Sequencing and Execution
Workflow Automation Concepts
Error Handling Strategies
Agent Monitoring Techniques
Improving Agent Reliability
Workflow Optimization Methods

Module 8: Multi-Agent Systems

Introduction to Multi-Agent Collaboration
Agent Roles and Responsibilities
Team-Based Agent Architectures
Communication Between Agents
Task Delegation Methods
Collaborative Problem Solving
Real-World Multi-Agent Scenarios

Module 9: Agent Safety and Governance

Responsible AI Practices
AI Ethics and Compliance
Risk Management for AI Agents
Data Privacy Considerations
Security Best Practices
Human Oversight Strategies
Governance Frameworks

Module 10: Real-World Agentic AI Projects

Intelligent Research Assistant
Customer Support Automation Agent
Document Analysis Agent
Workflow Automation Agent
Knowledge Management Assistant
Business Process Automation Project
End-to-End Agent Development Project

Module 11: Deployment and Production Readiness

Preparing Agents for Production
Performance Optimization
Monitoring and Maintenance
Scaling AI Agent Applications
User Feedback Integration
Continuous Improvement Strategies
Production Best Practices

Module 12: Career Development and Industry Applications

Agentic AI Career Opportunities
Industry Trends and Future Scope
Building a Project Portfolio
Certification Guidance
Resume Enhancement Tips
Interview Preparation
Best Practices for Continuous Learning

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Gain knowledge from experts with practical Agentic AI project experience in a variety of sectors.

Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.

Agentic AI Certification

Our Agentic AI Training in Chennai includes certification-oriented learning that helps learners understand industry practices, AI agent development concepts, and practical implementation techniques. The knowledge gained during training can support future certification preparation and professional development goals.

Course FAQs

1. What is Agentic AI?

Agentic AI is a type of Artificial Intelligence that can perform tasks independently, make decisions, plan actions, and interact with external tools. It goes beyond simple chatbot responses and enables intelligent automation for complex business and technical workflows.

2. Who can learn Agentic AI?

Anyone interested in Artificial Intelligence can learn Agentic AI. Students, freshers, developers, IT professionals, automation engineers, and technology enthusiasts can benefit from understanding how intelligent AI agents are designed and implemented.

3. Are there any prerequisites for this course?

Basic computer knowledge is recommended. Familiarity with programming concepts can be helpful but is not mandatory. The course is designed to guide learners from foundational concepts to advanced Agentic AI applications.

4. How long does it take to complete the course?

The duration depends on the training format and learning schedule. Most learners can complete the course through structured sessions that combine theory, practical exercises, and project-based learning activities.

5. Will I get hands-on training?

Yes. Practical learning is an important part of the course. Learners work on exercises, AI agent workflows, tool integrations, and real-world projects to gain confidence in implementing Agentic AI solutions.

6. What tools and technologies are covered?

The course introduces learners to modern AI agent concepts, prompt engineering techniques, workflow automation, memory systems, reasoning methods, and popular frameworks used for building intelligent AI agents.

7. Is Agentic AI suitable for beginners?

Yes. The course starts with core Artificial Intelligence concepts before progressing to advanced topics. Learners can build their understanding step-by-step through guided instruction and practical examples.

8. What industries use Agentic AI?

Agentic AI is being adopted in technology, healthcare, finance, education, retail, customer support, logistics, and business automation. Organizations use AI agents to improve efficiency and automate complex processes.

9. What projects will I work on during training?

Learners typically build AI agent workflows, task automation systems, intelligent assistants, and tool-integrated applications. These projects help demonstrate practical understanding of Agentic AI concepts.

10. Why is Agentic AI gaining popularity?

Businesses are looking for intelligent systems that can automate tasks while adapting to changing requirements. Agentic AI provides a more advanced approach to automation by enabling systems to reason, plan, and execute actions independently.