For the next 45 days, I’ll be following this AI & ML Roadmap and sharing my learning journey publicly. live - https://rheaadotcom.github.io/ai-ml.roadmap/ github-https://github.com/rheaadotcom/ai-ml.roadmap… #AI #MachineLearning #BuildInPublic

AI & ML Roadmap — Zero to Hero

Source: https://rheaadotcom.github.io/ai-ml.roadmap/ 00

Module 00 · Before You Start

Setup & Prerequisites

Get your environment ready. Install Python, set up your code editor, and understand the key Python packages you’ll use throughout this journey.

#TypeResource1SoftwarePython 3.13 Download→2SoftwareVisual Studio Code Download→3PackageInstall Pip Package Installer on Python→4ReferenceCommon Python Libraries used for AI/ML→ 01

Module 01 · The Math Behind It All

Mathematical Foundations

Mathematics is the foundation of everything in AI. Build strong skills in linear algebra, discrete math, and statistics to theoretically understand how machines learn.

#TypeResource1PlaylistMath for Machine Learning Playlist→2⭐ CourseNPTEL Swayam Discrete Mathematics CourseRecommended→3CourseDiscrete Structures via Saylor Academy→4LecturesLinear Algebra Lecture Series — MIT OCW→5CourseFundamental Math for Data Science — Codecademy→ 02

Module 02 · Building Your Foundation

Python Programming

These foundational courses in Computer Science and Python Programming will get you going strong! Learn to code, then practice until it feels natural.

#TypeResource1CourseMITx: Intro to CS and Programming Using Python→2CourseHarvardX: CS50’s Intro to Programming with Python→3WebsiteIntroduction to Python — W3Schools→4YouTubeLearn Python in 4 Hours — freeCodeCamp→5⭐ PracticePractice Python on HackerRankRecommended→6CertificatePython Basic Certification — HackerRank→ 03

Module 03 · Data Science

Data Science

Data is the new oil! Before jumping into advanced AI, learn about the data that drives it. Cover basics of statistics and Data Science using Python.

#TypeResource🎁YouTubeQuick 5 Minute Intro to Data Science→1YouTubeData Science Overview→2WebsiteData Science Introduction — W3Schools→3YouTubePython for Data Science→4CourseGoogle Data Analytics Professional Certificate→5⭐ CourseIBM Data Science Professional CertificateRecommended→ 04

Module 04 · Machine Learning

Machine Learning

Time to use data to train machines. Machine learning is the science of algorithms that help machines learn and improve from data — without explicit programming.

#TypeResource1ArticleIntroductory Article on Machine Learning — Spiceworks→2⭐ CourseHarvardX: Data Science: Machine LearningRecommended→3TutorialMachine Learning Tutorial — GeeksForGeeks→4CourseExplore Azure with OpenAI — Microsoft Learn→5CourseMachine Learning Specialization — Andrew Ng ⚡→6CourseML Engineer Learning Path — Google Cloud→ 05

Module 05 · Computer Vision

Computer Vision

Give the power of sight to intelligent computers! CV trains machines to interpret and understand the visual world — just the way we see it, but faster and more accurately.

#TypeResource1YouTubeComputer Vision Crash Course Overview→2YouTubeOpenCV Course — Full Tutorial with Python→3CourseOpenCV Bootcamp — Free Official Course→4⭐ CourseComputer Vision Essentials — Great LearningRecommended→5PlaylistStanford Computer Vision Lectures ⚡ Advanced→ 06

Module 06 · Deep Learning

Deep Learning & Neural Networks

Harness the power of the human brain to build something that resembles it. Neural networks process raw data to mimic desired outputs — the core of modern AI.

#TypeResource1CourseNeural Networks and Deep Learning — DeepLearning.AI→2CourseNeural Networks and Deep Learning — Class Central→3CourseConvolutional Neural Networks — Coursera→4⭐ YouTubeDeep Learning Crash Course for BeginnersRecommended→5PlaylistNeural Networks: Zero to Hero — Andrej Karpathy→ 07

Module 07 · Generative AI

Generative AI

The big buzz word! Create text, images, audio, video and more using Generative Adversarial Networks and Large Language Models.

#TypeResource1CourseMicrosoft Fundamentals of Generative AI→2CourseMicrosoft Responsible Generative AI→3⭐ YouTubeGenerative AI in a NutshellRecommended→4CourseGenerative Adversarial Networks Specialization→5E-BookGenerative AI and LLMs for Dummies — Free PDF→6CourseGenerative AI Learning Path — Google Cloud→7YouTubeGenerative AI for Developers→ 08

Module 08 · Natural Language Processing

Natural Language Processing

Help computers understand human language — English, Hindi, French, and more. NLP powers chatbots, translators, sentiment analysis, and search engines.

#TypeResource1ArticleHow To Get Started with NLP — Towards Data Science→2⭐ PlaylistTensorFlow NLP Zero to HeroRecommended→3YouTubeNatural Language Processing Pipeline→ 09

Module 09 · Reinforcement Learning

Reinforcement Learning

Walk, fall, get up, learn, repeat. Just like humans learn through experience, AI learns what to do — and what not to do — through trial, error, and rewards.

#TypeResource1PlaylistReinforcement Learning By The Book→2YouTubeRL Basics from Scratch→3TutorialReinforcement Learning Tutorial — JavaTPoint→4⭐ CourseDeep Reinforcement Learning Course — Hugging FaceRecommended→ 10

Module 10 · Agentic AI

Agentic AI Systems

Don’t just provide solutions — start acting on them. Agentic AI integrates AI and operations to power the next wave of automation like never before.

#TypeResource1⭐ YouTubeAI Agents Fundamentals in 7 MinutesRecommended→2YouTubeGetting Started with LangFlow→3YouTubeBuilding RAG Based LLM App using LangFlow→4YouTubeBuilding a Team of AI Agents in n8n (No Code)→5Docsn8n Documentation — Official Docs→6ArticleGenerative AI vs Agentic AI — Forbes→ ⭐

Bonus Module · Advanced Pathway

Advanced Learning & Practice

Additional bonus courses, specializations, and problem-solving exercises to take your skills to the next level.

#Resource1Stanford Machine Learning Specialization→2Google: Google AI for Anyone — edX→3IBM AI Foundations for Business Specialization→4Solve AI Problems on HackerRank→5Functional Programming Challenges — HackerRank→ 🔨

Projects

Build Real Things

500+ project ideas and guided projects to build your portfolio. Pick one from each module as you progress.

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