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CoursesLearn Ai
Master In Generative AI Training
Learn Ai
Master In Generative AI Training

Join Master in Generative AI Training in India to learn AI models, prompt engineering, LLMs, automation, and real-world AI applications. Build job-ready skills for careers in artificial intelligence.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 WEEKS

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About Master In Generative AI Training

Master in Generative AI Training in India is a comprehensive, job-oriented program designed to help professionals and students build advanced skills in Generative AI, Large Language Models (LLMs), prompt engineering, AI automation, and machine learning applications. The course covers key modules such as Generative AI fundamentals, NLP, prompt design, AI model integration, chatbot development, AI-powered data analysis, and real-world AI project implementation. Learners gain hands-on experience with modern AI tools used to automate workflows, create intelligent applications, and improve business decision-making.

This training 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 growing. Companies like Accenture, TCS, Infosys, Wipro, Deloitte, and Capgemini actively hire Generative AI professionals for roles in AI development, data science, and automation. By completing this program, learners gain practical knowledge, industry exposure, and job-ready skills to build successful careers in Artificial Intelligence and Generative 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.

Master In Generative AI Training Course Curriculum

Introduction to Generative AI

This unit provides a foundational understanding of Generative AI, explaining its core concepts, history, and evolution from traditional AI to advanced generative models. Learners will explore how models like GPT, DALL·E, and Stable Diffusion work, understand key terms such as tokens, embeddings, latent space, and transformers, and discover the major differences between generative and traditional AI approaches. The unit also introduces real-world applications across industries, setting the stage for deeper technical learning in the subsequent modules.

What is Generative AI?
History & Evolution
Key Concepts
Generative AI vs. Traditional AI

Deep Learning Foundations

Develop a solid understanding of neural networks, which are the foundation of generative artificial intelligence.

Basics of Neural Networks
Activation Functions and Backpropagation
CNNs and RNNs Overview
Gradient Descent and Optimization
Regularization and Dropout Techniques

Natural Language Processing (NLP) Essentials

Examine how AI models produce and comprehend human language.

Text Preprocessing and Tokenization
Word Embeddings (Word2Vec, GloVe)
Sequence Models (LSTM, GRU)
Attention Mechanism Basics
Transformers Architecture Overview

Transformers and Large Language Models

Explore cutting-edge transformer-based models that have transformed AI applications.

Anatomy of Transformer Architecture
BERT, GPT, and T5 Explained
Fine-tuning Pretrained Models
Prompt Engineering Fundamentals
Case Studies: ChatGPT, Claude, Gemini

Generative Models

Get familiar with the most widely used platforms and tools for GenAI development.

Variational Autoencoders (VAE)
Generative Adversarial Networks (GANs)
Diffusion Models and Stable Diffusion
Image-to-Image and Text-to-Image Generation
Audio and Video Generation

Tools & Frameworks for Generative AI

Get familiar with the most widely used platforms and tools for GenAI development.

TensorFlow and PyTorch for Model Building
Hugging Face Transformers
LangChain and LlamaIndex
OpenAI API, Google Vertex AI, and Azure OpenAI
Prompt Engineering Tools

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Additional Program Highlights

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Who Should Take Master In Generative AI Training

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Job Roles For Master In Generative AI Training

AI Solutions Architect

Deep Learning Engineer

Conversational AI Developer

Key Projects

Master In Generative AI Training

TCS

TCSAI Customer Support Chatbot


Scenario: Develop a Generative AI chatbot for customer support operations at TCS, HITEC City Hyderabad, using LLMs to automate customer queries, ticket responses, and knowledge base assistance.

Live Work:

  • Design chatbot using LLM APIs
  • Build prompt engineering workflows
  • Integrate chatbot with support portal
Outcome: Automated customer support system
Infosys

InfosysAI Content Generation Tool


Scenario: Create a Generative AI content automation tool for Infosys, Electronic City Bangalore to generate marketing content, blogs, and product descriptions using LLM models.

Live Work:

  • Develop prompt templates for content
  • Integrate AI model with web interface
  • Automate marketing content creation
Outcome: AI-driven content generation platform
Accenture

AccentureAI Resume Screening System


Scenario: Build a Generative AI recruitment assistant for Accenture, Hinjewadi Pune, to analyze resumes, summarize candidate profiles, and match skills with job descriptions.

Live Work:

  • Train model for resume analysis
  • Implement AI-based skill matching
  • Generate candidate summary reports
Outcome: Faster AI-based candidate screening
Deloitte

DeloitteAI Data Insights Assistant


Scenario: Develop an AI data assistant for Deloitte, Sector 62 Noida, that uses Generative AI to analyze datasets, summarize insights, and generate automated business reports.

Live Work:

  • Build AI data summarization model
  • Integrate AI with analytics tools
  • Generate automated business insights
Outcome: Automated data analysis assistant

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

What is Generative AI and why is it important?

Who should learn Generative AI training?

What skills will I learn in a Generative AI course?

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Industry-Recognized Certification

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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
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India

Hyderabad Office

LVS Arcade, 6th Floor, Hitech City, Hyderabad

India Flag+91-8383058741
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