AI Fundamentals Tutorial

AI Foundations

1 Introduction to Artificial Intelligence 8 min 2 History of AI 8 min 3 Types of AI 8 min 4 Weak AI vs Strong AI 8 min 5 Machine Learning vs AI 8 min 6 Where AI Shows Up Daily 8 min 7 AI Industry Landscape 8 min 8 AI Jobs and Skills 2026 8 min 9 AIVerse Learning Path 8 min 10 How to Practice AI Safely 8 min

Machine Learning

11 Introduction to Machine Learning 8 min 12 Supervised Learning 8 min 13 Unsupervised Learning 8 min 14 Reinforcement Learning 8 min 15 Training vs Inference 8 min 16 Features and Labels 8 min 17 Classification 8 min 18 Regression 8 min 19 Clustering 8 min 20 Recommendation Systems 8 min

Deep Learning

21 Deep Learning Overview 8 min 22 Neural Network Layers 8 min 23 Activation Functions 8 min 24 Forward Propagation 8 min 25 Backpropagation 8 min 26 CNN for Images 8 min 27 RNN for Sequences 8 min 28 Transformers Overview 8 min 29 Attention Mechanism 8 min 30 Training a Small Model 8 min

Generative AI & LLMs

31 Introduction to Generative AI 8 min 32 What Are LLMs 8 min 33 How Chat Models Work 8 min 34 Tokens and Context Windows 8 min 35 Prompt Engineering Basics 8 min 36 Fine-Tuning vs Prompting 8 min 37 RAG Introduction 8 min 38 AI Agents Introduction 8 min 39 Multi-Agent Collaboration 8 min 40 AI Copilots in Products 8 min

NLP & Text

41 Natural Language Processing 8 min 42 Text Classification 8 min 43 Sentiment Analysis 8 min 44 Named Entity Recognition 8 min 45 Text Summarization 8 min 46 Chatbot Design Basics 8 min 47 Semantic Search 8 min 48 Vector Databases Overview 8 min 49 Building a Simple NLP Pipeline 8 min 50 Conversational UX Tips 8 min

Computer Vision

51 Introduction to Computer Vision 8 min 52 Image Classification 8 min 53 Object Detection 8 min 54 OCR Systems 8 min 55 Face Recognition Ethics 8 min 56 Medical Imaging AI 8 min 57 Video Analytics Basics 8 min 58 Vision in Retail 8 min 59 Vision in Vehicles 8 min 60 Vision Safety Checklist 8 min

AI Engineering

61 OpenAI API Basics 8 min 62 Azure OpenAI Overview 8 min 63 LangChain Overview 8 min 64 Semantic Kernel Overview 8 min 65 Choosing an AI SDK 8 min 66 AI Pipelines 8 min 67 AI Orchestration Patterns 8 min 68 AI Microservices 8 min 69 Designing AI HTTP APIs 8 min 70 AI SaaS Architecture Basics 8 min

Agents & Automation

71 Enterprise Agent Patterns 8 min 72 Autonomous vs Assisted Agents 8 min 73 Agent Tool Calling 8 min 74 Agent Memory 8 min 75 Task Planning for Agents 8 min 76 Workflow Automation with AI 8 min 77 AI Assistants vs Agents 8 min 78 Human-in-the-Loop Controls 8 min 79 Evaluating Agent Quality 8 min 80 Enterprise Automation Guardrails 8 min

Vectors & RAG

81 Embeddings Explained 8 min 82 Vector Search Explained 8 min 83 Pinecone Overview 8 min 84 ChromaDB Overview 8 min 85 Qdrant Overview 8 min 86 RAG Architecture Deep Dive 8 min 87 Knowledge Base Design 8 min 88 Document Ingestion 8 min 89 Enterprise Search with RAG 8 min 90 Knowledge Management with AI 8 min

Ethics & Security

91 AI Bias 8 min 92 AI Hallucinations 8 min 93 Prompt Injection 8 min 94 Data Privacy for AI 8 min 95 Responsible AI Principles 8 min 96 AI Governance 8 min 97 Ethical Review Checklist 8 min 98 AI Regulations Overview 8 min 99 AI Security Basics 8 min 100 Enterprise Compliance Notes 8 min

Deployment & Ops

101 Deploying AI Services 8 min 102 Docker for AI Apps 8 min 103 Kubernetes Notes for AI 8 min 104 GPU vs CPU Tradeoffs 8 min 105 Scaling Inference 8 min 106 Monitoring AI Systems 8 min 107 CI/CD for Model Apps 8 min 108 AI Cost Optimization 8 min 109 Observability for Prompts 8 min 110 Infrastructure Checklist 8 min

Capstone Projects

111 Customer Support Copilot Project 8 min 112 Resume Analyzer Project 8 min 113 Fraud Detection Project 8 min 114 Recommendation Engine Project 8 min 115 Coding Assistant Project 8 min 116 Medical Assistant Constraints Project 8 min 117 Document Search Engine Project 8 min 118 Analytics Copilot Project 8 min 119 SaaS Copilot Shell Project 8 min 120 AIVerse Capstone Platform 8 min