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        Technical Orientation (Python, Numpy, Probability, Statistics, Tensors)Power AI course

        - How AI Thinks in Numbers: Dot Products and Matrix Logic - NumPy Power-Tools: The Math Engine Behind Modern AI - Introduction To Machine Learning Libraries - Two and Three Dimensional Arrays - Data as Fuel: Cleaning, Structuring, and Transforming with Pandas - Normalization in Data Processing: Teaching Models to Compare Apples to Apples - Probability Foundations: How Models Reason About the Unknown - The Bell Curve in AI: Detecting Outliers and Anomalies - Evaluating Models Like a Scientist: Bootstrapping, T-Tests, Confidence Intervals - Transformers: The Architecture That Gave AI Its Brain - Diffusion Models: How AI Creates Images, Video, and Sound - Activation Functions: Teaching Models to Make Decisions - Vectors and Tensors: The Language of Deep Learning - GPUs, Cloud, and APIs: How AI Runs in the Real World

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        lesson

        AI Onboarding & Python EssentialsAI Accelerator

        - 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


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        Creating a Slack Bot with Replit Assistant and Bolt (Part I)

        Learn how to prompt Replit Assistant, an advanced AI-coding assistant, to cre...