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Master In Generative AI Training
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Master In Generative AI Training

Learn Generative AI through practical training in AI applications, content creation, automation, business use cases, and responsible AI for modern organizations.

5/5(4,890 Reviews)

Level

Advanced

Duration

12 WEEKS

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About Master In Generative AI Training

Master in Generative AI is a practical training program designed to help professionals understand, apply, and evaluate Generative AI for modern business and professional use cases.

The course covers the fundamentals of Generative AI, its capabilities, applications, tools, workflows, content generation, automation opportunities, and responsible implementation. Learners will understand how Generative AI can support productivity, research, communication, content creation, analysis, and business processes.

Through practical learning and real-world projects, participants will develop the ability to identify suitable Generative AI use cases, design AI-supported workflows, evaluate generated outputs, and understand how organizations can adopt Generative AI effectively.

The program also focuses on responsible Generative AI adoption, including accuracy, privacy, security, governance, risk management, and human oversight.

By completing the course, learners gain practical Generative AI skills that can be applied across professional and organizational environments.

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Training Plan

01
About trainer

About trainer

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

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

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

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Master In Generative AI Training Curriculum

Module 1: Generative AI Fundamentals

Generative AI concepts, evolution, capabilities, limitations and its role in modern AI applications.

Introduction to Generative AI
Evolution of Generative AI
Evolution of Generative AI
Generative AI Concepts
How Generative AI Works
Generative AI Capabilities
Generative AI Applications
Benefits and Limitations

Module 2 — Generative AI Models & LLMs

Understand the models powering modern Generative AI applications, including language-based AI systems.

Generative AI Models
Large Language Models
LLM Fundamentals
Transformer Architecture
NLP for Generative AI
Text Generation
Model Capabilities

Module 3 — Prompt Engineering

Learn how to create effective instructions and workflows for obtaining useful and reliable Generative AI outputs.

Prompt Engineering Fundamentals
Prompt Structure
Zero-Shot Prompting
Few-Shot Prompting
Context & Instructions
Prompt Optimization
Output Evaluation

Module 4 — Generative AI Tools & APIs

Explore practical Generative AI tools and interfaces used to build AI-powered applications and workflows.

Generative AI Tools
AI Model Platforms
Generative AI APIs
API-Based AI Applications
Tool Selection
AI Workflow Integration
Practical AI Usage

Module 5 — Generative AI Content Creation

Apply Generative AI to create, transform, summarize and personalize different types of digital content.

Text Generation
Image Generation
Audio Generation
Video Generation
Content Summarization
Content Transformation
Content Personalization

Module 6 — RAG & Knowledge-Based Generative AI

Understand how Generative AI applications can work with external knowledge and organizational information.

Retrieval-Augmented Generation
RAG Fundamentals
Knowledge-Based AI
Document-Based AI
Information Retrieval
Context-Based Generation
RAG Applications

Module 7 — Fine-Tuning & Generative AI Customization

Learn the fundamentals of adapting Generative AI systems for specialized tasks, domains and business requirements.

Model Adaptation
Fine-Tuning Fundamentals
Training Data
Domain-Specific AI
Custom AI Behavior
Model Evaluation
Customization Considerations

Module 8 — Generative AI Applications & Automation

Learn how Generative AI can be integrated into practical workflows and automated business processes.

Generative AI Applications
AI Automation
AI Workflows
Task Automation
Business Process Support
AI-Assisted Productivity
Human-AI Collaboration

Module 9 — Generative AI for Business & Industry

Explore practical Generative AI use cases across business functions and industry environments.

Generative AI Business Use Cases
Marketing Applications
Customer Service Applications
Finance Applications
Operations Applications
Healthcare Applications
Enterprise AI Adoption

Module 10 — Generative AI Evaluation & AI Agents

Learn how to evaluate AI outputs and understand how advanced AI systems can perform multi-step tasks.

Generative AI Evaluation
Output Quality
Accuracy & Reliability
Accuracy & Reliability
AI Agents
Agentic AI Concepts
Multi-Step AI Workflows

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Who Should Take Master in Generative AI?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Master In Generative AI Training

Generative AI Developer

Generative AI Consultant

AI Solutions Consultant

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
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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 a Master in Generative AI course?

What will I learn in Master in Generative AI training?

Who should take a Generative AI course?

What are the applications of Generative AI?

What is the difference between AI and Generative AI?

What are Large Language Models in Generative AI?

What is Generative AI, and how is it different from traditional AI?

How do Generative AI models work?

What are Large Language Models (LLMs)?

What is Prompt Engineering?

What is RAG in Generative AI?

What is fine-tuning in Generative AI?

Master in Generative AI Certification

Upon successful completion of the course requirements, learners can receive a certificate recognizing their learning and practical understanding of Generative AI concepts, AI models, LLMs, prompt engineering, Generative AI applications, workflows, automation, and responsible AI practices. The certification reflects the learner’s participation and successful completion of the Master in Generative AI training program and its applicable learning requirements, subject to TechPratham’s certification criteria.

Industry-Recognized Certification

Certificate
Master In Generative AI Training

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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TechPratham's Hire-Train-Deploy Approach Reshaping HR & ERP Careers in the AI-Driven Industry
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