

IIT Roorkee - Generative AI Course
- Offered byIntellipaat
- Private Institute
Generative AI Course at Intellipaat Overview
Duration | 105 hours |
Start from | Start Now |
Total fee | ₹99,009 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Generative AI Course at Intellipaat Highlights
- Earn certificate from Microsoft & iHUB IIT Roorke after completion of the course
- 24/7 Learning Support
- 20+ projects, live hackathons, and deep GenAI expertise
- 3 guaranteed interviews upon movement to the Placement Pool
- 1 on 1 Career Mentoring Sessions
Generative AI Course at Intellipaat Course details
Mastering the principles of Generative AI prompting to craft accurate, bias-free AI responses.
Understand and fine-tune LLMs using techniques like LoRA, QLoRA, and RAG.
Build real-world GenAI applications like chatbots, content generators, and AI agents.
Gain hands-on experience through 20+ projects and live hackathons.
Prepare for high-growth roles like Prompt Engineer, AI Developer, and GenAI Specialist.
This Generative AI course helps you master AI language models, design effective prompts, and reduce response bias
In this course students will learn to build smarter, context aware AI interactive and optimize outputs from LLM’s. Start creating smarter, reliable AI driven solutions today.
Generative AI Course at Intellipaat Curriculum
Python Bootcamp
Installation of Python and IDEs: Guidance on installing Python and setting up IDEs like PyCharm.
Jupyter and Colab Notebook Usage: Introduction to using Jupyter Notebooks and Google Colab for coding
Introduction to NLP and Text Processing
Overview of Natural Language Processing, key use cases like chatbots, translation, and information extraction
Techniques such as lowercasing, punctuation removal, stopword filtering, stemming, and lemmatization using NLTK/spaCy
Core NLP Tasks
Categorizing text data using machine learning models; use cases like spam detection and sentiment analysis
Use NER to identify proper nouns (names, organizations, locations) in text using libraries like spaCy
Generative AI Essentials
Overview of Generative AI: Understanding the fundamental concepts and significance of generative AI
Key Concepts and Applications: Exploration of key concepts and real-world applications
Advanced Generative AI - Models & Architecture
Generative Models Introduction: Overview of different types of generative models and their architectures.
Variational Autoencoders (VAEs): Study of VAEs and their use for generating new data points.