Masters in Generative AI
August 14, 2024 2025-06-22 10:50Masters in Generative AI
Master's in Generative AI Course | ChatGPT, DALL-E Training India
Focuses on cutting-edge generative AI tools and technologies.
Covers Hugging Face Transformers, GPT, DALL-E 2, MidJourney, GANs, RAG, and LangChain.
Provides hands-on experience with advanced NLP and image generation techniques.
Equips participants with skills in creating and managing AI-driven applications.
Emphasizes practical, real-world applications and innovations in AI.
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.
Key Highlights of Masters in Generative AI
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 25+ 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
Weekly sessions with industry professionals
Dedicated Learning Management Team
150 hours of hands-on learning experience
Over 40 hours live sessions spread across 04 months
60 hours of self-paced Learning
Learn from IIT Faculty & Industry experts
More than 25+ 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?
Upcoming Batch:-
19th January 2025 (10pm to 1 am )
1st of February 2025 (10 pm to 1 am)
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
Batch Schedule
| Batch | Batch Type |
|---|---|
| Online Live Instructor Led Session | Full-Time |
| Online Live Instructor Led Session | Part-Time |
Regional Timings
| Region | Time |
|---|---|
| IST (India Standard Time) | 09:00 PM – 12:00 AM |
| Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM – 09:30 PM |
| UAE / Oman | 07:30 PM – 09:00 PM |
Talk to our Corporate training advisor
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.
Why Learn Masters in Generative AI ?
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.
Development of critical thinking and problem-solving
abilities.
A collaborative classroom environment that encourages teamwork and relationship-building
Create a portfolio for employers to see skills.
Foundation for continued learning in an evolving world of Data Science and AI.
Masters in Generative AI Certification
Masters in Generative AI Learning Path/Curriculum
Module 01 - Introduction to Gen AI & Huggingface Transformers Platform
Lecture 00: Orientation Session (Introduction to Gen AI)
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
Module 02 - Language Models and Transformer Models
Lecture 05: Understanding Language Models, Probability-Based Language Models, Unsupervised Learning Language Representations, Introduction to Transformer Models, What Are Transformer Models
Lecture 06: 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
Module 03 - Large Language Models (LLMs)
Lecture 07: Introduction to Large Language Models (LLMs), Structure of Popular Models, Types of Models: Text to Text, Text to Image, Text to Video, Multimodal
Lecture 08: 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 09: 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
Module 04 - Langchain, AI Application Stack and Ethical Considerations
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)
Learn GPT, LangChain & Advanced AI Tools
Masters in Generative AI Program Benefits
Become a Generative AI Expert with Hands-On Projects
Machine Learning
No. of Projects:10
Deep Learning
No. of Projects:10
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Job Obligation after this course
You can apply for
jobs in the following roles:-
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
Batch Professional Profiles
Admission Details
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
(50% OFF upto 31ˢᵗ March)
(Inclusive Of All Taxes)
Payment Partners
We partnered with financing companies to provide competitive finance option at 0% interest rate with no hidden costs
Upcoming Batches/Program Cohorts
| Batch | Date | Time | Batch Type |
|---|---|---|---|
| Online Live Instructor Led Session | 5th April 2025 | 10:00 AM | Full-Time |
| Online Live Instructor Led Session | 29th March 2025 | 02:00 PM | Part-Time |
Comparison with Others
| Feature | Generative AI Program | Competitor A | Competitor B | Competitor C |
|---|---|---|---|---|
| Coverage of AI Tools | Hugging Face Transformers, LLMs, GPT, DALL-E 2, MidJourney, GANs, RAG, LangChain | Basic NLP, Machine Learning, Traditional GANs | NLP, Basic GANs, Limited Image Tools | NLP, Image Generation, Basic RAG |
| Hands-On Experience | Extensive practical work with all tools | Limited hands-on experience | Focus on theory, minimal practical work | Hands-on with a few tools |
| Expert Instruction | Industry-leading experts | General industry professionals | University professors | Mixed industry and academic experts |
| Career Support | Job placement assistance, career counseling | Limited career services | Strong university career services | Basic career support |
| Duration | Flexible duration with intensive options | Fixed duration, less flexibility | Long-term, in-depth | Short-term, intensive |
| Certifications | Comprehensive certification | Basic certification | In-depth certification | Intermediate certification |
| Innovation Focus | Emphasis on the latest AI advancements | Focus on established technologies | Balanced between old and new technologies | Traditional technologies |
| Project Work | Real-world projects and case studies | Limited project work | Some project work | Minimal project work |
Self Assessments
Masters in Generative AI Training Faqs
A Masters in Generative AI course teaches advanced AI techniques for creating new content like text, images, and videos using models like GANs and VAEs, providing hands-on experience to work on cutting-edge AI applications in various industries.
Joining a Masters in Generative AI course equips you with cutting-edge skills in a rapidly growing field, opening up opportunities in industries like media, art, gaming, and tech. It provides practical experience with advanced AI models, making you highly competitive in innovative AI-driven roles.
Key features include advanced generative AI models, hands-on projects, industry tools, expert mentorship, cutting-edge research, flexible learning, and certification for career advancement.
Natural Language Processing (NLP), Transformer architectures Language Modeling, Generative Pre-trained Transformers (GPT) Image Generation, Large-scale image synthesis Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG)
Hugging Face Transformer ,LLM & GPT ,Dalle-02 , Mid Jouney, GAN, RAG, Langchain
Transformers, Hugging Face libraries, DALL-E model, OpenAI, PyTorch
A degree in Engineering, Mathematics, Science, or any equivalent field is ideal for pursuing a career in Artificial Intelligence and Data Science.
INR Fees (Exclusive of GST) INR 47,999.00
INR Fees (Inclusive of GST) INR 56,639.00
USD Fees USD 599
INR Fees (Inclusive of GST) INR 56,639.00
USD Fees USD 599
AI Researcher, Machine Learning Engineer, AI Developer
INR Fees(Exclusive of GST) : INR 289,999.00
INR
Fee(Inclusive of GST) : INR 342,199.00
USD Fee: 3475(subject to be changed).
25+ Projects
Our courses offer practical, industry-relevant content, expert instructors, flexible learning options, and strong career support.
