๐ค Generative Artificial Intelligence
Learn how modern AI systems create text, images, code, and more
For students, developers, professionals, and curious learners
Course Type: Introductory ยท Hands-On ยท Concept-Driven
Press โ to begin
๐ Welcome to the Future!
"We are at the beginning of a technological revolution that is fundamentally changing the way we live, work, and relate to one another."
- World Economic Forum on AI
Why This Course Matters
- High Demand: GenAI skills are among the most sought-after in tech (2024-2025)
- Transformative Technology: Companies across all sectors are adopting GenAI
- Career Accelerator: GenAI can help you progress in your field or work
- Creative Empowerment: Build applications that were impossible 2 years ago
๐จ What is Generative AI?
Traditional AI
- Recognizes patterns
- Classifies data
- Makes predictions
- Example: Email spam filter
Generative AI
- Creates new content
- Generates text, images, code
- Reasons and converses
- Example: ChatGPT, DALL-E, GitHub Copilot
Real-World Applications
๐บ๏ธ Your Learning Journey
| Topics | What You'll Build |
|---|---|
| Python Fundamentals & GenAI Intro | Data analysis tools |
| Large Language Models | Understanding transformers |
| Prompt Engineering | AI-powered chatbot |
| LangChain Framework | Complex AI applications |
| RAG Systems | Knowledge base Q&A system |
| Ethics & Advanced Topics | Final project presentations |
๐ฏ What You'll Master
๐ Foundation Skills
Python, NumPy, Pandas, FastAPI - essential tools for AI development
๐ง AI Expertise
LLM architecture, prompt engineering, AI frameworks
๐ง Practical Building
RAG systems, agents, conversational AI applications
By the End of This Course, You Will:
- โ Build GenAI applications from scratch
- โ Understand how tools like ChatGPT actually work
- โ Create intelligent systems that learn and adapt
- โ Apply ethical AI principles in real-world contexts
- โ Have a portfolio of projects to showcase to employers
๐ How This Course Works
Theory Classes
- Interactive lectures
- Coding demos
- Case studies
- Group discussions
Practical Work
- Tutorial sessions
- Mini-Projects
- Hands-on coding
- Real-world applications
Teaching Approach
๐ ๏ธ Tools You'll Use
Programming
โข Python 3.10+
โข Googel Collab/Jupyter Notebooks
โข VS Code
โข Git/GitHub
AI Platforms
โข OpenAI API
โข Anthropic Claude
โข LangChain
โข Hugging Face
Libraries
โข NumPy, Pandas
โข Matplotlib
โข FastAPI
โข Vector DBs
๐ Recommended Resources
- GitHub: Prompt Engineering Guide (dair-ai)
- Book: "The Big Book of Generative AI" by Databricks (2025)
- Papers: "Attention Is All You Need", GPT-3 paper
- Platforms: Kaggle, Google Colab for practice
๐ What I Expect From You
๐ช Effort & Engagement
- Come prepared
- Ask questions
- Participate actively
- Help classmates
๐งช Experimentation
- Try and fail
- Debug your code
- Explore beyond syllabus
- Be curious
What You Can Expect From Me
- ๐ง Responsive: Will reply to emails/messages within 24 hours
- ๐ก Supportive: Office hours for one-on-one help
- โ๏ธ Fair: Clear rubrics, transparent grading
- ๐ Adaptive: Open to feedback, willing to adjust approach
- ๐ฏ Practical: Focus on skills you'll actually use
๐ฌ Let's Stay Connected
Communication Channels
- ๐ง Email: aniket111777gmail.com - For formal communications
- ๐ฑ Linkedin: - https://www.linkedin.com/in/aniket-singh-362069249/
Course Materials
- ๐ GitHub Repository/Drive: All code, slides, resources
๐ Tips for Success
Common Pitfalls to Avoid
- โ Procrastinating on assignments
- โ Copying code without understanding
- โ Missing classes (remember 80% rule!)
- โ Working in isolation - collaborate!
โ Questions & Answers
Let's Open the Floor!
Ask me anything about:
- ๐ Course content and structure
- ๐ Grading and evaluation
- ๐ฏ Projects and assignments
- ๐ ๏ธ Tools and resources
- ๐ผ Career prospects in GenAI
- ๐ค Anything else on your mind!
๐ Let's Make This Amazing!
"The best way to predict the future is to create it."
- Peter Drucker
Your Potential
You are learning technology that's reshaping industries
Journey
Learn and build incredible things
Thank You! ๐
See you in the next class. Let's build the future together!