AIML Roadmap with Resouces

1. Python for AI / ML

Python is the foundation of AI, ML, and data science.

• VIDEO Python Full Course – freeCodeCamp Watch
• VIDEO Python OOP – Corey Schafer Watch
• VIDEO Python for Data Science – Krish Naik Watch
• VIDEO Python Tips & Tricks – Tech With Tim Watch
• VIDEO Python for Beginners – Programming with Mosh Watch
• VIDEO Python for Machine Learning – Sentdex Watch

• BLOG Python Official Documentation Read
• BLOG Real Python – Advanced Python Tutorials Read
• BLOG Python PEP 8 Style Guide Read
• BLOG Python Programming – GeeksforGeeks Read
• BLOG Python for Data Science – Towards Data Science Read

• TOOL Python Use
• TOOL Jupyter Notebook Use
• TOOL VS Code Use
• TOOL Conda / Anaconda Use
• TOOL Google Colab Use

• PROJECT Data Analyzer using Pandas
• PROJECT Web Scraper with BeautifulSoup
• PROJECT Automation Scripts with Python
• PROJECT REST API using Flask or FastAPI
• PROJECT ML Model Training Pipeline

2. Mathematics for Machine Learning

Math builds intuition behind machine learning algorithms.

• VIDEO Linear Algebra – 3Blue1Brown Watch
• VIDEO Probability & Statistics – StatQuest Watch
• VIDEO Calculus for Machine Learning – Khan Academy Watch
• VIDEO Math for Machine Learning – freeCodeCamp Watch
• VIDEO Gradient Descent Explained Visually – 3Blue1Brown Watch

• BLOG Mathematics for Machine Learning – Imperial College London Read
• BLOG Gradient Descent Explained Read
• BLOG Bias–Variance Tradeoff Explained Read
• BLOG Linear Algebra for Machine Learning – Jason Brownlee Read
• BLOG Probability for Machine Learning – Jason Brownlee Read

3. Data Analysis & Visualization

• VIDEO Pandas Full Course – freeCodeCamp
• VIDEO EDA – Krish Naik
• VIDEO Data Visualization – Corey Schafer

• TOOL Pandas
• TOOL NumPy
• TOOL Matplotlib
• TOOL Seaborn
• TOOL Plotly

• PROJECT Kaggle EDA Notebook
• PROJECT COVID-19 Data Analysis

4. Machine Learning

• VIDEO Machine Learning – Andrew Ng
• VIDEO ML Algorithms – StatQuest
• VIDEO ML with Python – freeCodeCamp

• BLOG Scikit-learn Documentation
• BLOG Model Evaluation Metrics
• BLOG Overfitting vs Underfitting

• PROJECT Titanic Classification
• PROJECT House Price Prediction
• PROJECT Credit Risk Model

5. Deep Learning

• VIDEO Deep Learning Specialization – Andrew Ng
• VIDEO PyTorch Full Course – freeCodeCamp
• BLOG Backpropagation Explained
• TOOL TensorFlow
• TOOL PyTorch

6. Natural Language Processing (NLP)

• VIDEO NLP Full Course – freeCodeCamp
• VIDEO Transformers Explained – Jay Alammar
• TOOL NLTK
• TOOL spaCy
• TOOL HuggingFace Transformers

7. Generative AI & LLMs

• VIDEO Generative AI – freeCodeCamp
• VIDEO LLMs from Scratch – Andrej Karpathy
• BLOG OpenAI Cookbook
• TOOL OpenAI API
• TOOL LangChain
• PROJECT AI Chatbot
• PROJECT RAG Document Q&A

8. MLOps & Deployment

• VIDEO MLOps Full Course – freeCodeCamp
• VIDEO ML in Production – Google
• TOOL MLflow
• TOOL Docker
• TOOL FastAPI
• TOOL Kubernetes