“Unlock Your AI Journey in 2024: A Hacker’s Guide to Free AI Learning!”

So, you’re eager to dive into the realm of AI, but unsure of where to begin? Let’s craft a roadmap tailored to hands-on learning and real-world application. No more drowning in endless tutorials—let’s get our hands dirty and build something impactful together!

Before we embark on this journey, let’s set some ground rules and share some pearls of wisdom.

Top-down approach
Embrace the philosophy of learning by doing. Dive into challenges headfirst, seeking knowledge to solve problems and create prototypes.

Learn in Public
Share your journey with the world. Write blogs, join hackathons, and engage with communities. Your learning journey should be a collaborative adventure.

Use Twitter
Twitter isn’t just a social platform—it’s a goldmine of knowledge. Follow the right people, engage in conversations, and leverage it as a tool for learning.

Now, let’s unveil our roadmap:

Mathematics
Master the foundational pillars of linear algebra, calculus, probability, and statistics—the backbone of AI algorithms.

Tools
Harness the power of Python and PyTorch—a dynamic duo for AI development.

Machine Learning
From writing algorithms from scratch to competing in Kaggle competitions, immerse yourself in the world of ML.

Deep Learning
Take a deep dive into fast.ai for a top-down approach to deep learning. Explore competitions, implement papers, and specialize in computer vision and NLP.

Large Language Models
Unlock the secrets of large language models, from understanding their architecture to fine-tuning them for specific tasks.

Now, let’s delve into each segment:

Mathematics
Delve into the intricacies of linear algebra, calculus, and statistics—the mathematical bedrock of AI algorithms. Dive into resources like “Math for Machine Learning” and “Essence of Linear Algebra” to solidify your understanding.

Tools
Master Python programming and PyTorch framework—a dynamic duo for AI development. Dive into courses like “Practical Python Programming” and “PyTorch Tutorials” to sharpen your skills.

Machine Learning
Immerse yourself in ML by writing algorithms from scratch, competing in Kaggle competitions, and embarking on side projects. Explore resources like “The 100-page ML book” and “MiniTorch” for hands-on learning.

Deep Learning
Embark on a journey through fast.ai for a top-down approach to deep learning. Explore resources like “Deep Learning by François Fleuret” and “Understanding Deep Learning” for a comprehensive understanding.

Large Language Models
Uncover the mysteries of large language models by understanding their architecture, fine-tuning them, and implementing them from scratch. Explore resources like “Large Language Models in Five Formulas” and “Understanding Large Language Models” for deep insights.

Embark on this journey with curiosity and determination, and watch as your AI skills flourish. Remember, the key to mastery lies in hands-on learning and continuous experimentation. Let’s revolutionize the world of AI together!