Mastering in AI and Generative AI Program
December 20, 2024 2025-03-23 15:03Mastering in AI and Generative AI Program
Mastering in AI and Generative AI Program
Learn advanced tools like GPT, DALL-E 2, and Hugging Face Transformers.
Comprehensive curriculum covering Python, machine learning, deep learning, NLP, and computer vision.
Gain practical experience through real-world projects.
Learn from seasoned professionals with industry and research backgrounds.
Enhance skills and open doors to advanced AI roles.
Master generative AI, GANs, and RAG methods.
Connect with peers and industry leaders.
Earn a recognized certification that boosts career prospects.
Key Highlights of Mastering in AI and Generative AI Program
Weekly sessions with industry professionals
Dedicated Learning Management Team
300 hours of hands-on learning experience
Over 100 hours of live sessions spread across 05 months
100 hours of self-paced Learning
Learn from IIT Faculty & Industry experts
More than 40+ industry-related projects and case studies
Personalized 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
300 hours of hands-on learning experience
Over 100 hours of live sessions spread across 05 months
100 hours of self-paced Learning
Learn from IIT Faculty & Industry experts
More than 40+ industry-related projects and case studies
Personalized 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 Mastering in AI and Generative AI Program?
Mastering in AI and Generative AI Program Overview
This Program offers a deep dive into fundamental AI technologies and essential libraries for machine learning, image processing, etc. Participants will learn cutting-edge tools such as Hugging Face Transformers, GPT, DALL-E 2.0, MidJourney, GANs, RAG, and LanguageChain. The curriculum integrates theoretical understanding with real-world use cases to develop a skills-rich ecosystem capable of utilizing AI and generative technologies at an advanced level.
Mastering in AI and Generative AI Program Objectives
The course aims to provide participants with a thorough understanding of AI technologies with its more high-level programming side. After completing this, the student will be proficient in Python programming and have experience working with Hugging Face Transformers, GPT, DALL-E 2, and MidJourney. Then they can integrate those levels of solutions into their AI application. And will be equipped with hands-on experience in GANs, RAG, and LangChain to face the complex challenges & innovations in the AI community.
Why Learn Mastering in AI and Generative AI Program?
Mastering in AI and Generative AI Program Advantages
Industry-relevant skills in high-demand AI technologies like GPT, DALL-E 2, and Hugging Face Transformers.
Comprehensive curriculum covering Python programming to advanced AI techniques such as GANs and RAG.
Hands-on experience through real-world projects and applications.
Expert guidance from experienced instructors in AI and generative technologies.
Enhanced career opportunities with skills valued in the tech industry.
Industry-relevant skills in high-demand AI technologies like GPT, DALL-E 2, and Hugging Face Transformers.
Comprehensive curriculum covering Python programming to advanced AI techniques such as GANs and RAG.
Hands-on experience through real-world projects and applications.
Expert guidance from experienced instructors in AI and generative technologies.
Enhanced career opportunities with skills valued in the tech industry.
Mastering in AI and Generative AI Program Certification
Mastering in AI and Generative AI Program Learning Path/Curriculum
Module 01 - Machine Learning
Lecture 01: Introduction to ML
Lecture 02: Regression Techniques
Lecture 03: Error Metrics
Lecture 04: Classification Report and AUC ROC
Lecture 05: Unsupervised Learning Techniques
Module 02 - Deep Learning
Lecture 06: Introduction to Neural Networks
Lecture 07: Activation Functions and Optimizers
Lecture 08: Gradient Descent Methods
Lecture 09: Time Series Analysis
Lecture 10: ARMA and ARIMA
Module 03 - Computer Vision
Lecture 11: Introduction to Image Processing
Lecture 12: Convolution, Padding, Pooling
Lecture 13: Forward & Backward Propagation for CNN
Lecture 14: CNN Architectures
Module 04 - NLP
Lecture 15: Introduction to Text Mining
Lecture 16: Sentiment Analysis & Topic Modeling
Lecture 17: BERT and Text Classification
Lecture 18: Automatic Speech Recognition & Web Scraping
Module 05 - RL
Lecture 19: RL Framework
Lecture 20: Types of RL Systems
Module 06 - Introduction to Gen AI & Huggingface Transformers
Lecture 21: Introduction to AI
Lecture 22: Introduction to Huggingface Transformers
Lecture 23: Feature Engineering, Understanding key NLP Applications using Huggingface platform
Lecture 24: Sentiment analysis, Sentence classification, Generating text, Extracting an answer from text
Module 07 - Language Models and Transformer Models
Lecture 25: Understanding Language Models
Lecture 26: Types of Models and Attention Mechanism
Module 08 - Large Language Models (LLMs)
Lecture 27: Introduction to LLMs
Lecture 28: Other Types of Generative AI Algorithms
Lecture 29: Hands-on Practice with Huggingface. -Applications of Generative AI in business
Lecture 30: - Customer Insights & Sentiment Analysis- Personalized Marketing & Content Creation
Module 09 - Langchain, AI Application Stack and Ethical Considerations
Lecture 31: Langchain and Custom Chatbots, Designing a custom chatbot
Lecture 32: AI Application Stack, Overview of AI infrastructure:
Lecture 33: Hallucination, Data Privacy, Ethics, and Environmental Impact of AI & future of Work, Ethical Considerations in AI
Lecture 34: Project Session
Mastering in AI and Generative AI Program Skills Covered
Data Analysis
Data Manipulation,
Statistical Analysis
Data Visualization
Machine Learning
Model Evaluation
Feature Engineering
Neural networks
Transfer learning
Deep Learning
Computer Vision techniques
Image Processing
Text Processing
Sentiment Analysis
Language Modelling
Reinforcement Learning Algorithms
Advanced NLP Techniques
Transformer Architectures
Text Generation & Comprehension
Creative Image Generation
Synthetic Data Creation
Enhanced Language Models
AI Application Development
Retrieval-Augmented Generation (RAG)
Mastering in AI and Generative AI Program Tools Covered
Mastering in AI and Generative AI Program Program Benefits
Projects that you will Work On
Machine Learning
No. of Projects:10
Deep Learning
No. of Projects:10
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Job Obligation after this course
We can apply for jobs in
Develop and deploy AI models and algorithms for various applications.
Continuously optimize machine learning and deep learning systems.
Analyze data and extract actionable insights to drive business decisions.
Create and manage AI-driven products, ensuring they meet user needs and business goals.
Stay updated with the latest advancements in AI and apply them to improve existing solutions.
Collaborate with cross-functional teams to integrate AI technologies into business operations.
Troubleshoot and resolve issues related to AI models and systems.
Contribute to AI research and innovation within the organization or industry.
Ensure ethical and responsible use of AI technologies in all applications.
Companies Hiring for this course
Batch Professional Profiles
Program Advisors
IITs
IIMs
NITs
Experts from the IT Industries.
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 | Our Course | Competitor A | Competitor B |
|---|---|---|---|
| Curriculum Scope | Comprehensive: Python, ML, DL, NLP, CV, Generative AI | Basic ML and DL focus | General AI with less focus on Generative AI |
| Hands-On Experience | Extensive practical projects with tools like GPT, DALL-E 2 | Limited practical projects | Hands-on projects mainly in traditional AI |
| Advanced Tools | GPT, DALL-E 2, MidJourney, Hugging Face Transformers, GANs, RAG, LangChain | Focus on traditional ML frameworks | Emphasis on standard ML and AI tools |
| Instructor Expertise | Experienced professionals with industry and research background | Mix of industry and academic instructors | Primarily academic-focused instructors |
| Real-World Applications | Emphasis on real-world problem solving and innovation | Mostly theoretical applications | General applications with less focus on innovation |
| Career Support | Strong focus on career advancement and networking | Basic career services | Limited career support and networking opportunities |
| Networking Opportunities | Connect with peers and industry leaders | Limited networking events | Few networking opportunities |
| Certification Value | Recognized certification for advanced AI roles | Standard certification | General certification with less industry recognition |
Mastering in AI and Generative AI Program Training Faqs
The Advanced AI and Generative AI Program teaches advanced AI techniques and generative models, including deep learning, GANs, and transformers, to develop cutting-edge AI solutions and innovations.
Join the course to master advanced AI techniques and generative models, driving innovation and solving complex problems in AI.
1.Advanced AI techniques
2.Generative models (e.g., GANs, transformers)
3.Hands-on projects
4.Expert instruction
duration of each lecture of 3 houre.
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).
to Lead complex data science projects, advance AI research.
