Lessons
view all ⭢
lesson
Statistics and Data PreprocessingAI Bootcamp- Exploring core stats: mean, standard deviation, normal distributions - Working with real datasets (Titanic) using Pandas: filtering, grouping, feature engineering, visualization - Preprocessing tabular data for ML: encoding, scaling, train/test split
lesson
Mathematical Foundations for MLAI Bootcamp- Exponentiation and logarithms: visual intuition and matrix operations - Normalization techniques and why they matter in ML workflows - Activation functions: sigmoid and softmax with coding from scratch
lesson
Arrays, Vectors & Tensors in Practice for Foundational KnowledgeAI Bootcamp- Creating and manipulating 2D and 3D NumPy arrays (reshaping, indexing, slicing) - Performing matrix operations: element-wise math and dot products - Visualizing vectors and tensors in 2D and 3D space using matplotlib
lesson
Python, Google Colab & Jupyter Notebooks for AIAI Bootcamp- Jupyter & Python Setup - Understanding why Python is used in AI (simplicity, libraries, end-to-end stack) - Exploring Jupyter Notebooks: shortcuts, code + text blocks, and cloud tools like Google Colab
lesson
Setting Up Accountability and ToolsAI Bootcamp- Meet the instructors and understand the support ecosystem (Circle, Notion, async help) - Learn the 4 learning pillars: concept clarity, muscle memory, project building, and peer community - Understand course philosophy: minimize math, maximize intuition, focus on real-world relevance - Set up accountability systems, learning tools, and productivity habits for long-term success
lesson
Course Introduction and PhilosophyAI Bootcamp- Meet the instructors and understand the support ecosystem (Circle, Notion, async help) - Learn the 4 learning pillars: concept clarity, muscle memory, project building, and peer community - Understand course philosophy: minimize math, maximize intuition, focus on real-world relevance - Set up accountability systems, learning tools, and productivity habits for long-term success
lesson
AI Onboarding & Python EssentialsAI Bootcamp- Welcome & Community - Course Overview - Community: Getting Started with Circle and Notion - Python & Tooling Essentials - Intro to Python: Why Python for AI and Why Use Python 3 (Not Python 2) - Install Python and Set Virtual Environments - Basic Python Introduction: Variables, Data Types, Loops & Functions - Using Jupyter Notebooks - Introduction to AI Tools & Ecosystem - Introduction to AI & Why Learn It - Models & Their Features: Choosing the Right AI Model for Your Needs - Finding and Using AI Models & Datasets: A Practical Guide with Hugging Face - Using Restricted vs Unrestricted Open-Source AI Models from Hugging Face - Hardware for AI: GPUs, TPUs, and Apple Silicon - Advanced AI Concepts Worth Knowing - Practical Tips on How to Be Productive with AI - Brainstorming Ideas with AI - Brainstorming with Prompting Tools
lesson
Step 11 - The Storage
lesson
Step 9 - The UI Flow
lesson
Step 8 - The Vibe
