Generative AI

Beginner to Mastery

Masters in Generative AI

Cutting-edge GenAI Tools.

Advanced GenAI Frameworks.

Applied GenAI Techniques.

Equips participants with skills in creating and managing AI-driven applications.

Group Enrollment with Friends or Colleagues

Masters in Generative AI

Course Duration

150 Hours

Next Batch

14 September 2025

Course Material

Live. Online. Interactive.

Emphasizes practical, real-world applications and innovations in AI.

Enhances career prospects in specialized roles such as AI engineering and creative AI development.

Offers a deep dive into both theoretical and practical aspects of generative AI.

Equips learners with cutting-edge tools and frameworks to build impactful AI-driven solutions.

Highlight Masters in Generative AI

KEY HIGHLIGHTS OF MASTERS IN GENERATIVE AI PROGRAM

  • Weekly sessions with industry professionals
  • Dedicated Learning Management Team
  • 150 hours of hands-on learning experience
  • Over 40 hours live sessions spread across 02 months
  • 40 hours of self-paced Learning
  • Learn from Industry Experts.
  • More than 50+ industry-related projects and case studies
  • Personalised mentorship sessions with industry experts
  • 24*7 Support
  • Dedicated Learning Management Team
  • 1:1 Mock Interview
  • No-Cost EMI Option
  • Designed for both working professionals and fresh graduates
  • High Demand and Career Opportunities
  • Competitive Edge and Innovation
  • Problem-Solving and Critical Thinking

WHY JOIN MASTERS IN GENERATIVE AI PROGRAM?

Comprehensive Gen AI Training

Gain expertise across all major aspects of advanced artificial intelligence.

Hands-On Learning

Work on projects which develop real-world skills and experience.

Industry-Relevant Curriculum

Get trained about the latest tools and tricks that are currently trending in Industry.

Career Growth

Prepare for roles and jobs that come with an increased opportunity as the AI field grows.

UPCOMING BATCH:

14 September 2025

SkillzRevo

SkillzRevo Solutions

30 MINUTE MEETING

Web conferencing details provided upon confirmation.

Corporate Training, Enterprise training for teams

Batch schedule

BatchBatch Type
Online Live Instructor Led SessionFull-Time
Online Live Instructor Led SessionPart-Time

Regional Timings

BatchBatch Type
IST (India Standard Time)09:00 PM–12:00 AM
Bahrain, Qatar, Kuwait, Saudi Arabia06:30 PM–09:30 PM
UAE / Oman07:30 PM–09:00 PM

Masters in Generative AI OVERVIEW

This Program offers a deep dive into leading Advanced AI tools and technologies. The participants will be delving deep into Hugging Face Transformers and their use in NLP, Large Language Models (LLMs) and GPT for text generation but even going a step further with DALL-E 2 as well as MidJourney for advanced level image creation. Lastly, This program also goes over Generative Adversarial Networks (GANs) for fake data generation, Retrieval-Augmented Generation (RAG) to boost language models and LangChain for building AI-driven applications. You will learn the skills required to innovate with these technologies through this course.

ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE

Enroll Now →

Masters in Generative AI Objectives

This course aims to provide a comprehensive understanding of key Advanced AI principles. You will start from Hugging Face Transformers for NLP, generating GPT text using Large Language Models (LLMs), and harnessing DALL-E 2 in MidJourney to make dreamy graphics. We also discuss the Retrieval-Augmented Generation (RAG) framework, a generative model centered on language models that benefits from retrieval techniques to integrate knowledge in advance, as well as Generative Adversarial Networks (GANs) for data generation. Lastly, by using LangChain to create and use complex AI systems, we wish the participants could make real progress in their work as well.

Enroll Now →

Why Learn Masters in Generative AI ?

Master Advanced NLP

Gain expertise in Hugging Face Transformers, essential for cutting-edge natural language processing tasks.

Explore LLMs & GPT

Learn to leverage Large Language Models and GPT for effective text generation and comprehension.

Hands-On Image Creation

Develop skills with DALL-E 2 and MidJourney to create high-quality, creative images from text.

Understand GANs

Discover how Generative Adversarial Networks can generate realistic synthetic data for diverse applications.

Enhance with RAG

Learn to integrate external information into language models for improved performance and accuracy.

Build with LangChain

Acquire practical knowledge in using LangChain to create and manage complex AI systems, enabling participants to make real progress in their work..

Innovate in AI

Equip yourself with the tools and skills needed to drive innovation and advancements in the AI field.

Real-World Capstone Projects

Apply your knowledge through industry-based projects that bridge theory with practical, impactful AI solutions.

Program Advantages

Comprehensive skill set in Python programming, statistical analysis, machine learning, deep learning, computer vision, NLP and Reinforcement learning.

Industry-relevant knowledge with a focus on current tools and approaches.

Practical experience through projects and assignments.

Expert instruction from knowledgeable educators.

Career advancement opportunities include various roles such as Data Analyst, ML Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer, Data Scientist, AI Engineer and AI specialist.

Familiarity with the latest libraries and frameworks.

Foundation for continued learning in an evolving world of Data Science and AI.

Create a portfolio for employers to see skills.

Description

Masters in Generative AI program Certifications

Nasscom

Nasscom

Course Completion

Course Completion

Project Completion

Project Completion

Masters in Generative AI Curriculum

Lecture 01: Introduction to AI, Hype vs. Reality, Business Applications, Ethical Considerations, Introduction to Generative AI, From Text Generation to Multimodal Models, Potential and Challenges
Lecture 02: Introduction to Open Source Huggingface Transformers Platform, Review of NLP Basics & Text Pre-processing, Introduction to NLP Concepts: Language Representations, Tokenization, Part-of-Speech Tagging, Text Preprocessing
Lecture 03: Feature Engineering: Normalization, Stemming, Lemmatization, Stop Word Removal, Understanding Key NLP Applications Using Huggingface Platform
Lecture 04: Sentiment Analysis, Sentence Classification, Generating Text, Extracting an Answer from Text
Lecture 5: Understanding Language Models, Probability-Based Language Models, Unsupervised Learning Language Representations, Introduction to Transformer Models, What Are Transformer Models
Lecture 6: Types of Models: Encoder-Decoder, Decoder Only, Attention Mechanism, Tasks That Transformer Models Can Do: Translation, Text Summarization, Q&A, Text Generation, Zero Shot, Few Shot Text Classification
Lecture 7: Introduction to Large Language Models (LLMs), Structure of Popular Models, Types of Models: Text to Text, Text to Image, Text to Video, Multimodal
Lecture 8: Other Types of Generative AI Algorithms: GANs (Generative Adversarial Networks), Variational Autoencoders (VAEs), Diffusion Models, Mixture of Experts, Different Models Available Currently for Image (DALLE-2, Midjourney)
Lecture 9: Hands-On Practice of NLP Tasks Using Huggingface Library and Open Source Language Models Such as Bloom for Fine-tuning a LLM, Zero and Few Shot Classification, Applications of Generative AI in Business
Lecture 10: Customer Insights & Sentiment Analysis, Personalized Marketing & Content Creation, Chatbots: Automating Customer Service and Support, Document Processing Automation
Lecture 11: Langchain, Applied Use Case for Gen AI – Hands-On Exercise: Designing a Custom Chatbot, Data Analytics Using Gen AI Model Such as OpenAI API
Lecture 12: AI Application Stack: Infrastructure & Foundation Layer, Overview of AI Infrastructure: Cloud Platforms, GPU, and Distributed Computing, Setting Up an AI Environment for Generative Models, Infrastructure Considerations for Scalable AI Applications, Retrieval Augmentation Generation or RAG
Lecture 13: Hallucination, Data Privacy, Ethics, and Environmental Impact of AI & Future of Work: Importance of Data Privacy in AI Applications, Ethical Considerations in AI Development and Deployment, Environmental Impact and Sustainability in AI, The Future of Work: How AI Will Reshape Roles and Responsibilities
Lecture 14: Project Session

Masters in Generative AI Skills Covered

Advanced NLP Techniques
Transformer architectures Language Modeling
Text Generation and Comprehension
Creative Image Generation
Synthetic Data Creation
Enhanced Language Models
AI Application Development
Retrieval-Augmented Generation (RAG)

Masters in Generative AI Tools Covered

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Masters in Generative AI Program Benefits

Masters in Generative AI Program Benefits Illustration

CAREER OPPORTUNITIES AFTER THIS COURSE

Machine Learning Specialist Salary Range

Min

$80,000

Average

$105,000

Max

$140,000

Projects

MASTER GANS, TRANSFORMERS & DEEP LEARNING WITH REAL PROJECTS

Practice Essential Tools

Designed By Industry Experts

Get Real-world Experience

Machine Learning
NO. OF PROJECTS: 10
Deep Learning
NO. OF PROJECTS: 10
Generative AI
NO. OF PROJECTS: 8

Capstone Projects of this Program

Multimodal Text-to-Image Generator

A system that creates high-quality, realistic images from descriptive text inputs, blending multiple data types for creative visual output.

AI Music Composer with Genre Adaptation

An AI tool that generates original musical compositions while adapting to specific genre styles, tempo, and mood preferences.

Realistic Deepfake Video Synthesizer

A tool that realistically manipulates and synthesizes video content to create authentic-looking deepfake footage for various applications.

Personality-Driven Conversational AI Assistant

A chatbot designed to interact with a distinct and consistent personality, providing a more natural and engaging user experience.

Artistic Style Transfer Engine for Videos

A program that applies the artistic style of a source image to every frame of a video, creating a new, stylized visual experience.

Context-Aware Text Summarization System

An advanced system that generates concise summaries of long texts by understanding the document's broader context and key information.

Voice Cloning and Speech Style Transfer Tool

A tool that replicates a speaker's voice and transfers a specific speech style or emotion to new synthesized audio content.

Interactive AI Storyteller with Image Generation

An AI that collaboratively creates stories with users, dynamically generating scenes and characters based on a developing narrative.

2D Sketch to 3D Object Generation Pipeline

A seamless workflow that converts simple two-dimensional sketches into detailed, three-dimensional models for creative and design purposes.

Synthetic Data Generator for Model Training

A system that produces large and diverse datasets for machine learning models, overcoming data scarcity for effective training.

AI-Powered Video Subtitle Generator and Translator

An automated solution that transcribes spoken language in videos and translates it into accurate subtitles for global accessibility.

Generative Design Tool for Product Prototyping

An AI application that rapidly generates numerous product design prototypes based on a set of constraints and functional requirements.

RAG-based Research Assistant (Retrieval-Augmented Generation)

An intelligent assistant that answers complex queries by retrieving relevant information from large documents and generating coherent responses.

Multilingual Chatbot with Memory and Personality

A conversational agent that can communicate in multiple languages while maintaining a consistent personality and recalling past interactions.

AI-Powered Comic Strip Generator from Text Prompts

A tool that creates unique comic strips by converting user text prompts into sequential images with a consistent artistic style.

Explainable AI Engine for Text Classification

An AI system that classifies text and provides clear, understandable reasons for its decisions, ensuring transparency and trust.

Autonomous Slide Generator from Research Papers

An AI that automatically extracts key findings and data from research papers to create well-structured, presentable slide decks.

AI Assistant for Code Generation and Explanation

A helpful tool that writes code snippets and explains complex programming logic in simple terms, assisting developers with their tasks.

AI-Driven Marketing Content Generator Across Formats (text, image, video)

A unified platform that produces marketing materials in various formats, including text, images, and videos, from a single campaign brief.

Real-Time Emotion Detection and Response AI System

A system that identifies human emotions from facial expressions or speech and generates appropriate, empathetic responses in real time.

Job Obligation After This Course

WE CAN APPLY FOR JOBS IN

Develop and deploy AI models and algorithms for various applications.

Analyze and interpret complex datasets to drive business insights.

Collaborate with cross-functional teams to integrate AI solutions into existing systems.

Continuously optimize machine learning models for better accuracy and performance.

Stay updated with the latest advancements in AI and apply them to projects.

Design and implement natural language processing (NLP) solutions for text-based applications.

Create and manage AI-driven products from concept to deployment.

Ensure AI solutions are scalable, secure, and compliant with industry standards.

Troubleshoot and resolve technical issues related to AI models and applications.

Communicate AI concepts and results to both technical and non-technical stakeholders.

Companies Hiring for this Course

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Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Course Fees & Financing

Course Fees

Enroll Now & Save Up To

60%

In USD

$549

In INR

44,999

Inclusive of All Taxes

Enroll Now →
Payment Partners

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.

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UPCOMING BATCHES/PROGRAM COHORTS

BatchDateTime (IST)Batch Type
Online Live Instructor Led Session30 August 20259 PM to 12 AMBatch 1
Online Live Instructor Led Session14th Sept 20259 PM to 12 AMBatch 2

COMPARISON WITH OTHERS

FeatureOur CourseCOMPETITOR ACOMPETITOR B
Coverage of AI ToolsHugging Face Transformers, LLMs, GPT, DALL-E 2, MidJourney, GANs, RAG, LangChainBasic NLP, Machine Learning, Traditional GANsNLP, Basic GANs, Limited Image Tools
Hands-On ExperienceExtensive practical projects with all toolsLimited Hands-on experienceFocus on theory, minimal practical work
Expert InstructionIndustry-leading expertsGeneral industry professionalsUniversity professors
Career SupportJob placement assistance, career counselingLimited career servicesLimited career support and networking opportunities
DurationFlexible duration with intensive optionsFixed duration, less flexibilityShort-term, intensive
CertificationsComprehensive certificationBasic certificationIntermediate certification
Innovation FocusEmphasis on the latest AI advancementsFocus on established technologiesTraditional technologies
Project WorkReal-world projects and case studiesLimited project workMinimal project work

Frequently Asked Questions