🧠 AI Pathway
Apologies in advance if you find any mistake. Feel free to reach out (see my email below) if you’d like to connect or share feedback. Welcome to the AI Pathway — a free, structured guide for anyone serious about learning Artificial Intelligence, Machine Learning, and beyond. This site was built to solve a common problem: “Where do I even start with AI?”Here, you’ll find a carefully crafted path covering every important model, concept, and method, organized into intuitive sections.
🚀 What You’ll Learn
Exploratory Data Analysis (EDA)
Learn how to clean, visualize, and understand data before modeling.
Machine Learning
Algorithms like regression, classification, clustering, and ensemble methods.
Deep Learning
High-level concepts like backpropagation, gradient descent, and representation learning.
Neural Networks
Explore architectures like CNNs, RNNs, GANs, and other specialized neural models.
Foundation Models
Explore the rise of powerful pre-trained models that serve as a base for many tasks.
Large Language Models (LLMs)
Understand how GPT, BERT, and similar models work — and how to apply them.
Multimodal AI
Explore models that combine text, images, audio, and beyond.
AI Orchestration & Agents
Learn how to chain, control, and deploy AI agents in workflows.
Projects
Hands-on projects to reinforce learning and build your AI portfolio.
Research & Beyond
Keep up with cutting-edge research papers, benchmarks, and long-term directions.
🎯 Why This Exists
I created this project as both a personal knowledge base and a public resource for learners, engineers, and researchers who want to go deep — without getting lost. Although I come from a cybersecurity background, I’ve always been passionate about building AI products and pushing forward AI research. Built by Mohammad Jafrin Hossain — lifelong learner, security, and AI enthusiast. Whether you’re starting out or diving into advanced models, this path helps you learn faster, stay focused, and build real expertise.📬 Feedback & Suggestions
If you find anything confusing or have suggestions — or if I’ve made a mistake — feel free to email me at [email protected].Let’s learn and build better AI — together.