Agentic AI Course in Bangalore

Agentic AI Course in Bangalore helps you understand how modern AI agents work and how they can be used in daily business tasks, automation, content creation, coding support, research, data handling, and workflow management.

Quick Enquiry

Course Mode

Online / Classroom / Self-Paced

Best For

Students, Freshers, Professionals

Training Type

Practical + Project-Based

Tools Covered

LangChain, LLMs, APIs, VectorDB

Support

Trainer + Interview Prep

Why This Matters

Why Learn Agentic AI Now?

Most people are still using AI only for simple prompts. But companies are moving toward AI systems that can handle tasks, make decisions, connect with tools, and complete workflows with less manual effort.

😕

Prompt Confusion

You know ChatGPT, but not how to build real AI agents that work autonomously.

⚙️

Manual Work

You want to automate tasks but do not know the correct workflow or tools to use.

🔗

Tool Gap

Confused about LangChain, APIs, tools, memory, and agents? This course clears it all.

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Career Pressure

You want AI skills that are useful for jobs and business automation but don't know where to start.

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No Real Projects

You need practical hands-on projects for your portfolio — not only theory and slides.

Course Introduction

What Is Agentic AI?

Agentic AI is an advanced form of artificial intelligence where AI systems can understand goals, break them into steps, use tools, make decisions, and complete tasks with limited human input.

In this course, students learn how AI agents work, how to design agent workflows, how to connect AI with external tools, and how to build practical automation systems for real business and technical use cases.

This training is suitable for students, freshers, working professionals, developers, data learners, business owners, and anyone who wants to move beyond basic AI prompting.

1

Plan

Agent understands goal & breaks into steps

2

Act

Selects and uses the right tools

3

Observe

Checks result and adjusts approach

4

Retry

Handles errors and retries if needed

5

Complete

Delivers final output to the user

Curriculum

What You Will Learn

A structured learning path from AI fundamentals to building and deploying real agentic systems.

AI & Agentic AI Fundamentals

Understand AI, Generative AI, LLMs, prompts, agents, tools, reasoning, memory, and workflows.

Prompt Engineering for Agents

Learn how to write prompts for task planning, reasoning, tool selection, and automation.

LLMs and AI Models

Understand how large language models work and how to use them in agent-based applications.

LangChain Basics

Learn LangChain concepts for building AI apps, chains, agents, memory, and tool integrations.

AI Agent Architecture

Understand how agents plan, act, observe, retry, and complete multi-step tasks.

Tool Calling & API Integration

Connect AI agents with APIs, search tools, databases, CRMs, documents, and automation workflows.

Vector Database & RAG

Learn how agents use documents, embeddings, retrieval, and private knowledge bases.

Workflow Automation

Build AI systems for email automation, report generation, customer support, and data tasks.

Real-Time Projects

Work on practical Agentic AI projects that can be shown in your portfolio.

Technologies

Tools Covered in Training

The course focuses on practical implementation, so students understand not only what Agentic AI is, but also how to build and use it in real tasks.

🤖

ChatGPT / OpenAI

🐍

Python

⛓️

LangChain

🧩

LLM APIs

🗄️

Vector Databases

⚡

Automation Tools

🐙

GitHub Basics

🚀

Deployment Concepts

✍️

Prompt Engineering

📚

RAG

Detailed Syllabus

Full Course Syllabus

Eight comprehensive modules covering everything from AI basics to real-time project deployment and career readiness.

Module 1: Introduction to AI & GenAI

What is AI?
What is Generative AI?
What are LLMs?
AI vs GenAI vs Agentic AI
Real-world AI use cases

Module 2: Prompt Engineering

Basic to advanced prompting
Role-based prompts
Chain-of-thought style planning
Prompt templates
Prompt testing and improvement

Module 3: Agentic AI Fundamentals

What is an AI agent?
Agent loop: plan, act, observe
Single-agent and multi-agent workflows
Tools, memory, reasoning, and actions
Limitations and safety checks

Module 4: Python for AI Agents

Python basics for AI workflows
Working with files
APIs and JSON
Data handling
Function calling basics

Module 5: LangChain for Agentic AI

LangChain introduction
Chains and agents
Tools and retrievers
Memory concepts
Building simple AI workflows

Module 6: RAG and Vector Search

What is RAG?
Embeddings
Vector databases
Document-based question answering
Private knowledge assistant

Module 7: AI Agent Projects

Resume screening assistant
Customer support AI agent
Research assistant
Email automation agent
Business report generator
Document Q&A chatbot

Module 8: Deployment & Career Guidance

Project presentation
Resume preparation
Interview questions
Portfolio building
Career path in AI and automation

Hands-On Projects

Real-Time ProjectsYou Will Build

Work on practical, portfolio-ready Agentic AI projects that demonstrate your skills to employers and clients.

📄

AI Resume Screening Agent

Build an AI agent that can read resumes, match job descriptions, and shortlist candidates automatically.

💬

AI Customer Support Agent

Create a support assistant that answers customer questions using company documents and knowledge base.

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AI Research Assistant

Build an agent that can collect information, summarize it, and prepare structured reports on demand.

📧

Email Automation Agent

Create an AI workflow that reads email content and suggests replies or next actions automatically.

📖

Document Q&A Bot

Build a chatbot that answers questions from uploaded PDFs, documents, or knowledge files with accuracy.

Why Choose Us

Why Choose Learn More Technologies?

We combine practical training, expert mentorship, and career support to give you the best learning outcome.

🎯

Practical-Oriented Training

Learn by building real workflows, not only watching theory. Every concept is applied hands-on.

👨‍🏫

Industry Expert Trainers

Get training from experienced professionals who understand real-time project needs.

📅

Flexible Learning Options

Choose classroom, live online, or self-paced learning based on your schedule.

🛠️

Real-Time Projects

Build portfolio-ready projects that help you explain your skills clearly to employers.

🏆

Certification Support

Get a course completion certificate after training to validate your new skills.

🚀

Job Assistance

Get support for resume preparation, interview questions, and career guidance after course.

Career Outcomes

Career Opportunities After the Course

After completing this course, learners can explore a wide range of AI and automation roles across industries.

Why Go Agentic

Basic AI Learning vs Agentic AI Training

See how Agentic AI training goes far beyond basic AI usage and prepares you for real-world applications.

Feature	Basic AI Learning	Agentic AI Training ✓
Approach	Uses simple prompts	Builds goal-based AI agents
Automation	XMostly manual input	✓Automates multi-step tasks
Scope	Limited to chat responses	Connects with tools and APIs
Level	Good for beginners	Better for practical AI workflows
Projects	XLess project-focused	✓Project and career focused
Career Value	Limited job opportunities	High demand in the market

Got Questions?

Frequently Asked Questions

What is Agentic AI?

Agentic AI means AI systems that can plan, use tools, make decisions, and complete tasks based on a given goal — going beyond simple question-and-answer responses.

Do I need Python knowledge?

Basic Python knowledge is helpful. If you are new, you can learn the required Python concepts during the course itself.

Is this course available online?

Yes, Learn More Technologies offers online, classroom, and self-paced learning options so you can choose the format that fits your schedule.

Is this course suitable for beginners?

Yes. The course starts from AI basics and moves toward practical agent-building step by step. No prior AI experience is required.

Will I work on real projects?

Yes, the course includes practical projects such as AI assistants, automation agents, document Q&A bots, and research agents that are portfolio-ready.

Will I get a certificate?

Yes, you will receive a course completion certificate after training, which you can add to your resume and LinkedIn profile.

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