Contents
Learning Pathway Modules
- Module 0 – Before You Start
- Module 1 – The Math Behind It All
- Module 2 – Building Your Foundation
- Module 3 – Data Science
- Module 4 – Machine Learning
- Module 5 – Computer Vision
- Module 6 – Deep Learning Neural Network
- Module 7 – Generative AI
- Sub-Module 7A – Retrieval Augmented Generation (RAG)
- Module 8 – Natural Language Processing
- Module 9 – Reinforcement Learning
- Module 10 – Agentic AI
- Bonus Module – Advanced Learning Pathway Courses
Additional Cool Stuff
Module 0 – Before You Start
Before you begin, it is best to build your foundations and have the set-up ready. This would help you get your system working for Python on a compiler software. Mathematics is a foundation for everything in the world for Artificial Intelligence. Have a core in applied mathematical concepts like linear algebra, matrics and more can help you theoretically understand how machines work.
| S.No | Type | Course Name |
|---|---|---|
| 1 | Software | Python 3.13 Download |
| 2 | Software | Visual Studio Code Download |
| 3 | Py Package | Install Pip Package Installer on Python |
| 4 | Py Package | Common Python Libraries used for AI/ML |
Module 1 – The Math Behind It All
The domain of AI/ML is a vast deep ocean and it’s time for you to build a boat and rafters for a smooth sail. These foundational courses in Computer Science and Python Programming will get you going strong!
| S.No | Type | Course Name |
|---|---|---|
| 1 | Playlist | Math for Machine Learning Playlist |
| 2 | ⭐Course | NPTEL Swayam Discrete Mathematics Course |
| 3 | Course | Discrete Structures via Saylor Academy |
| 4 | Lectures | Linear Algebra Lecture Series from MIT |
| 5 | Course | Fundamental Math for Data Science |
Module 2 – Building Your Foundation
The domain of AI/ML is a vast deep ocean and it’s time for you to build a boat and rafters for a smooth sail. These foundational courses in Computer Science and Python Programming will get you going strong!
| S.No | Type | Course Name |
|---|---|---|
| 1 | Course | MITx: Introduction to Computer Science and Programming Using Python |
| 2 | Course | HarvardX: CS50’s Introduction to Programming with Python |
| 3 | Website | Introduction to Python – W3 Schools |
| 4 | YouTube | Learn Python in 4 Hours |
| 5 | ⭐Practice! | Practice Python on HackerRank |
| 6 | Certificate | Python Basic Certification |
Module 3 – Data Science
Data is the new oil! Before jumping into making advanced AI, let’s learn about the data that drives it. We’ll cover basics of statistics and Data Science using Python in this module.
| S.No | Type | Course Name |
|---|---|---|
| Bonus | YouTube | Quick 5 Minute Intro to Data Science |
| 1 | YouTube | Data Science Overview |
| 2 | Website | Data Science Introduction |
| 3 | YouTube | Python for Data Science |
| 4 | Course | Google Data Analytics Professional Certificate |
| 5 | ⭐Course | IBM Data Science Professional Certificate |
Module 4 – Machine Learning
Time to use that data to train a machine on how to learn them. Machine learning is the science of computer algorithms that help machines learn and improve from data analysis without explicit programming. THAT’S SO COOL!
*❗ The ML Specialization by Andrew NG is a highly specialized and industry level course by one of the most promient AI scientist – Andrew NG. It is an expert level course and is highly recommened to do one you get a good grasp of the foundational knowledge.
Module 5 – Computer Vision
Giving the power of vision to our intelligent computers! Computer Vision trains computers to interpret and understand the visual world, just the way we see it (or in an more advanced way 😉)
| S.No | Type | Course Name |
|---|---|---|
| 1 | YouTube | Computer Vision Crash Course Overview |
| 2 | YouTube | OpenCV Course – Full Tutorial with Python |
| 3 | Course | OpenCV Bootcamp |
| 4 | ⭐Course | Computer Vision Essentials |
| 5 | Playlist | (VERY ADVANCED) Stanford Computer Vision Lectures |
Module 6 – Deep Learning Neural Network
Time to harness the power of our human brain to develop something that resembles the powers of a human brain. Neural Networks help you understand how information is processed from raw data like the human brain to mimic desired outputs.
| S.No | Type | Course Name |
|---|---|---|
| 1 | Course | DeepLearning.AI Neural Networks and Deep Learning |
| 2 | Course | Neural Networks and Deep Learning |
| 3 | Course | Convolutional Neural Networks |
| 4 | ⭐YouTube | Deep Learning Crash Course for Beginners |
| 5 | Playlist | Neural Networks: Zero to Hero |
Module 7 – Generative AI
The big buzz word everywhere! Create text, images, audios, videos, and more all thanks to Generative Adversarial Networks!
| S.No | Type | Course Name |
|---|---|---|
| 1 | Course | Microsoft Fundamentals of Generative AI |
| 2 | Course | Microsoft Responsible Generative AI |
| 3 | ⭐YouTube | Generative AI in a Nutshell |
| 4 | Course | Generative Adversarial Networks (GANs) Specialization |
| 5 | E-Book | Generative AI and LLMs for Dummies |
| 6 | Course | Generative AI Learning Path by Google Cloud Skills Boost |
| 7 | YouTube | Generative AI for Developers |
Sub-Module 7A – Retrieval Augmented Generation (RAG)
Retrieval-augmented generation (RAG) is a natural language processing (NLP) technique that combines the capabilities of traditional information retrieval systems with the strengths of generative large language models (LLMs)
| S.No | Type | Course Name |
|---|---|---|
| 1 | Course | Retrieval Augmented Generation Introduction (RXM403) |
| 2 | Project | Guided Project on RAG |
| 3 | YouTube | Learn RAG From Scratch |
Module 8 – Natural Language Processing
English, Spanish, French, Hindi, Tamil, Russian, Python, Java, C++ and wait what? Let’s learn how can we help computers understand our human language better (the natural language)
| S.No | Type | Course Name |
|---|---|---|
| 1 | Website | How To Get Started with NLP |
| 2 | ⭐Playlist | Tensorflow’s NLP Zero to Hero |
| 3 | YouTube | Natural Language Processing Pipeline |
Module 9 – Reinforcement Learning
Walk, fall, get up, learn, repeat. Just like how humans learn through experiences on what to do and what not to do, AI is no different!
| S.No | Type | Course Name |
|---|---|---|
| 1 | Playlist | Reinforcement Learning By The Book |
| 2 | YouTube | RL Basics from Scratch |
| 3 | Website | Reinforcement Learning Tutorial – JavaTPoint |
| 4 | ⭐Website | Deep Reinforcement Learning Course – HuggingFace |
Module 10 – Agentic AI
Don’t just provide the solutions, start acting on it. Agentic AI workflows integrate AI and operations to fuel the next wave automation like never before.
| S.No | Type | Course Name |
|---|---|---|
| 1 | ⭐YouTube | AI Agents Fundamentals in 7 Minutes |
| 2 | YouTube | Getting Started with LangFlow |
| 3 | YouTube | Building RAG Based LLM App using LangFlow |
| 4 | YouTube | Building a Team of AI Agents in n8n with No Code |
| 5 | Website | n8n Documentation |
| 6 | Website | Generative AI vs Agentic AI – Forbes |
Bonus Module – Advanced Learning Pathway Courses
Additional bonus courses and problem solving exercises.
PROJECTS!
- 20 Popular Deep Learning Projects – TheCleverProgrammer Blog
- 500 AI, Machine learning, Deep learning, Computer vision, NLP Projects with code – GitHub Repo
- Machine Learning Projects – GeeksForGeeks
- 15 Python Reinforcement Learning Project Ideas for Beginners – Project Pro
Interesting Websites to Visit:
- AI Club – SIT Pune
- AI WareHouse
- Google Talk to Books
- Google Semantris Machine Learning Word Game
- Replika AI Avatars
- AI Music, Text to Speech, and Voice to Voice