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CoursesHigh Demanding
Advanced Generative AI and Agentic AI Training in India
High Demanding
Advanced Generative AI and Agentic AI Training in India

Advanced Generative AI and Agentic AI Training in India helps you master LLMs, prompt engineering, AI agents, and intelligent automation. Gain hands-on skills to build AI-driven applications and advanced AI systems.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

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Accenture Logo
AWS Logo
Capgemini Logo
Deloitte Logo
Genpact Logo
HP Logo
Intel Logo
Microsoft Logo
Infosys Logo
Zoho Logo
Zelis Logo
Wipro Logo
Saint Gobain Logo
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About Advanced Generative AI and Agentic AI Training in India

Advanced Generative AI and Agentic AI Training in India by Techpratham is a job-oriented program designed to help learners master modern AI technologies such as Large Language Models (LLMs), prompt engineering, AI agents, intelligent automation, and machine learning applications. The training covers key modules including Generative AI fundamentals, Agentic AI systems, AI workflow automation, chatbot development, NLP, and real-world AI project implementation. Through hands-on practice and industry-focused sessions, learners gain practical skills to build AI-powered applications, autonomous AI agents, and intelligent business solutions.

This program is ideal for professionals across India’s major IT hubs such as Bangalore (Whitefield), Hyderabad (HITECH City), Pune (Hinjewadi), Chennai (OMR), and Noida (Sector 62) where demand for AI talent is rapidly increasing. Companies like Accenture, TCS, Infosys, Wipro, Capgemini, and Deloitte are actively hiring AI professionals. With expert guidance from Techpratham, learners gain practical knowledge, career opportunities, and job-ready skills to build successful careers in Generative AI and Agentic AI technologies

Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Advanced Generative AI and Agentic AI Training in India Course Curriculum

Python for AI & Automation (Foundation Layer)

Python for AI & Automation (Foundation Layer) builds core Python skills to automate tasks and create a strong base for AI and machine learning development.

 NumPy, Pandas
 Requests, FastAPI (intro)
 LangChain utilities (preview)
 Async programming basics
 Logging, exception handling
Module 3: AI-Ready Python Libraries
 Web requests, REST API consumption
 File handling, APIs, JSON
Module 2: Python for Automation & AI
 OOP concepts (important for agents)
 Functions, modules, virtual environments
 Python syntax, data types, control flow
Module 1: Python Essentials for AI

Introduction to Agentic AI & LLM Ecosystem 

A foundational overview of how autonomous AI agents work with large language models to plan, reason, and execute tasks across modern AI systems.

Role of LangGraph, AutoGen, CrewAI in the ecosystem
What is Agentic AI?
OpenAI vs Azure OpenAI vs AWS Bedrock
Introduction to foundational concepts: Agents, Tasks, Graphs

 Basics of LangChain and LangGraph

An introductory overview of using LangChain and LangGraph to build, connect, and orchestrate intelligent, multi-step AI workflows.

LangChain recap: Chains, Tools, Memory
LangGraph architecture and why it matters
Installation, environment setup, and first LangGraph DAG

Exploring LangGraph Core Concepts 

A concise introduction to building stateful, multi-step AI workflows using LangGraph for agent orchestration and decision-making.

Nodes, Edges, State Machines
Understanding transitions and handlers
Building a simple agentic task flow

Python SDK and Node Configuration

 An overview of setting up the Python SDK and configuring nodes to build, connect, and manage scalable AI workflows efficiently.

Testing individual components with unit test strategy
Defining nodes and reactive transitions
Deep dive into LangGraph Python SDK

Multi-Agent Setup with LangGraph

A practical introduction to designing and orchestrating multiple AI agents that collaborate and share state using LangGraph.

Conditional logic and loops in graphs
Introducing dynamic task allocation
Multi-agent interaction via graph state

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Additional Program Highlights

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Interview Preparation
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Who Should Take Advanced Generative AI and Agentic AI Training in India

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Job Roles For Advanced Generative AI and Agentic AI Training in India

Generative AI Engineer

Agentic AI Developer

Artificial Intelligence Engineer

Key Projects

Advanced Generative AI and Agentic AI Training in India

Tata Consultancy Services

Tata Consultancy ServicesAI Autonomous Support Agent


Scenario: Build an Agentic AI support assistant for customer service operations at TCS in HITECH City, Hyderabad that can understand queries, plan actions, retrieve knowledge, and generate accurate responses.

Live Work:

  • Develop LLM-based AI support agent
  • Implement RAG knowledge retrieval
  • Integrate AI with service portal
Outcome: Autonomous AI customer support agent
Accenture

AccentureAI Recruitment Agent


Scenario: Create an Agentic AI recruitment assistant for Accenture in Electronic City, Bengaluru that analyzes resumes, evaluates skills, and automatically shortlists candidates.

Live Work:

  • Resume parsing with LLM model
  • Skill matching using embeddings
  • AI candidate summary generation
Outcome: AI-driven automated hiring system
Infosys

InfosysAI Content Automation Tool


Scenario: Develop a Generative AI content platform for Infosys in Hinjewadi IT Park, Pune to automatically generate marketing content, reports, and documentation.

Live Work:

  • Prompt engineering for content AI
  • Build LLM content generation API
  • Automate marketing workflow tasks
Outcome: AI-powered enterprise content system
Deloitte

DeloitteAI Business Insights Agent


Scenario: Design an AI analytics agent for Deloitte in Sector 62, Noida that analyzes datasets, generates insights, and creates automated business intelligence reports.

Live Work:

  • Data summarization using LLM
  • Build AI analytics workflow agent
  • Generate automated BI reports
Outcome: AI-driven business intelligence tool

Placement Process

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise
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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

Course FAQs

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Industry-Recognized Certification

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India

Head Office

G-31, 1st Floor, Sector-3, Noida - 201301

India Flag+91-8882178896
WhatsApp
USA Flag+1 (343) 477-0926
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India

Noida Office

C-2, Sector-1, Noida, Uttar Pradesh - 201301

India Flag+91-8882178896
WhatsApp
USA Flag+1 (343) 477-0926
WhatsApp
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India

Hyderabad Office

LVS Arcade, 6th Floor, Hitech City, Hyderabad

India Flag+91-8383058741
WhatsApp
USA Flag+1 (343) 477-0926
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