Stepping into the AI/ML universe might feel like trying to tame a dragon, but with this slick roadmap, you’ll be slaying it like a pro in no time. We’re talking a step-by-step glow-up from newbie to ML wizard, and all you need is Vizuara’s dope YouTube playlists to light the way. Ready to level up? Let’s roll!
Playlist: Foundations for ML - Click here to kick things off
Why Start Here?
Bruh, this is where you build your superhero origin story! We’re talking the core stuff—Linear Algebra (think matrix magic), Probability (odds are, you’ll love it), Statistics (data’s BFF), Calculus (slopes and curves, baby), Optimization (finding the sweet spot), and some Programming fundamentals to flex those coding muscles. No skipping this—it’s the bedrock of everything ML!
How Long?
Chill with 2-3 hours a week for 8 weeks. That’s like a Netflix binge but way more productive. By the end, you’ll be tossing around math terms like a boss.
Playlist 1: ML Teach by Doing - Get hands-on here
Why It’s Fire?
This is where the rubber meets the road, fam! You’ll dive into practical, project-based ML workflows—think of it as cooking up some ML recipes from scratch. No boring theory dumps—just real-deal learning by doing.
Commitment:
4 hours a week for 10 weeks. That’s a couple of coffee runs’ worth of time to unlock the ML sauce.
Playlist 2: Decision Trees from Scratch - Branch out here
Why It Slaps?
Decision trees are the unsung heroes of ML—like the roots holding up a massive tree of models. You’ll master these bad boys and see why they’re clutch for so much ML goodness.
Commitment:
4 hours a week for 5 weeks. Easy peasy—you’ll be branching out like a pro in no time.
Playlist: Neural Networks from Scratch - Plug in here
Why It’s a Big Deal?
Neural networks are the brainy backbone of deep learning—think of them as the Avengers of AI. You’re not just reading about ‘em—you’re building them from the ground up. Total game-changer!
How Long?
5 hours a week for 8 weeks. It’s like gym time for your brain—sweat it out and watch those neural gains stack up.
Playlist 1: Graph Neural Networks - Theory, Applications, and Research - Connect the dots here
Why It’s Lit?
Graphs are blowing up in ML—think social networks, biology, and beyond. This is your ticket to the cool kids’ table of cutting-edge tech. You’ll be flexing graph-based ML skills like a futuristic ninja.
Commitment:
3 hours a week for 8 weeks. Low-key effort, high-key rewards.
Playlist 2: ML Project-Based Course: Explainable AI - Make it make sense here
Why XAI is the Move?
Explainable AI (XAI) is all about making ML less of a mysterious black box and more of a “here’s why it works” vibe. You’ll crank out projects that don’t just work—they explain themselves. Bonus? You might even drop your first research paper. Yup, you’re that guy/gal now!
Commitment:
3 hours a week for 5 weeks. By the end, you’ll be spitting knowledge and credibility.
Playlist 1: GenAI for Beginners (8 hours) - Create some magic here
Playlist 2: LLMs from Scratch (40-45 hours) - Build the big brains here
Playlist 3: Hands-on LLMs (40-45 hours) - Get dirty with it here
Playlist 4: Transformers (15 hours) - Transform your game here
Why This is the Future?
Yo, this is where you go full sci-fi! Generative AI (making stuff outta thin air), Transformers (the engine behind ChatGPT and pals), and Large Language Models (LLMs) are the hottest tickets in town. You’ll be ready to flex in 2030 while everyone else is still catching up.
Commitment:
5 hours a week for 20 weeks. It’s a marathon, not a sprint—but trust me, the finish line is worth it. You’ll be cooking up AI masterpieces like it’s nothing.
Feeling extra? Dip into these goodies:
- Intro to Machine Learning in Julia (40 hours) - Code in style here
- Zero to Hero in Data Science (40 hours) - Level up fast here
- Hands-on PINN (20 hours) - Physics + ML = 🔥 here
Mix and match these to spice up your journey—totally up to you, champ!
Total Hours: 275 hours (core) + 140 hours (optional flex)
Timeline: 6-8 months of grinding, balancing brain food with hands-on wins.
What You Get:
- Rock-solid ML foundations
- Mad practical skills
- A front-row seat to the future with advanced topics
If you’re ready to put in the hours, this roadmap is your golden ticket. No fluff, no shortcuts—just pure, unfiltered growth. Head over to Vizuara’s YouTube channel (catch it here) for all the structured, beginner-friendly playlists you’ll ever need.
Your ML glow-up starts now. Quit scrolling and start building—your future self will thank you! 🚀