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AI From Scratch - Complete Learning Guide ​

Welcome to your comprehensive journey through Artificial Intelligence! This guide takes you from the very basics to advanced AI applications, with practical examples and real-world implementations.

🎯 What You'll Learn ​

  • AI Fundamentals: Understanding the core concepts and relationships
  • Data Foundation: How data powers AI systems
  • Machine Learning: Supervised and unsupervised learning techniques
  • NLP & LLMs: Natural Language Processing and Large Language Models
  • Vector Databases: Modern storage solutions for AI applications
  • Advanced Techniques: RAG, Fine-tuning, and Prompt Engineering
  • Production Systems: Building scalable AI applications

πŸ“ˆ Learning Path ​

This guide is organized into logical sections that build upon each other:

Part I: Foundations πŸ—οΈ ​

Start here to understand the fundamental concepts that power all AI systems.

  1. AI Overview - Understanding AI, ML, Data Science relationships
  2. Data Fundamentals - Types, quality, and processing

Part II: Machine Learning πŸ€– ​

Learn how machines learn from data to make predictions and decisions.

  1. Machine Learning Fundamentals - Core concepts and workflow
  2. Supervised Learning - Classification and regression
  3. Unsupervised Learning - Clustering and dimensionality reduction

Part III: Core Technologies πŸš€ ​

Dive deep into the technologies that make modern AI possible.

  1. NLP Fundamentals - How machines understand language
  2. Vector Databases - Modern storage solutions for AI applications
  3. LLM Applications - RAG, Fine-tuning, and Prompt Engineering

Part IV: Implementation πŸ› οΈ ​

Learn how to build and deploy real AI applications.

πŸš€ Getting Started ​

  1. Review the Learning Path to understand the recommended sequence
  2. Set up your Environment using our development guide
  3. Start with Foundations if you're new to AI
  4. Jump to specific sections if you have particular interests

πŸ“š Additional Resources ​

We've curated the best learning materials, including Azure learning paths, course analyses, and essential tools.


🎯Ready to begin? Start with Getting Started to get an overview of your journey.

Released under the MIT License.