AI Foundations for Everyone

Master core concepts and terminology to build a strong professional foundation. This course empowers beginners to confidently transition into the evolving world of artificial intelligence. * **Master core AI terminology** for professional communication * **Identify machine learning types** and their business uses * **Evaluate AI project feasibility** from a product perspective * **Draft ethical frameworks** for responsible AI implementatio

8 sections ยท 36 lessons

Course outline

Language Models Basics

  1. Inside ChatGPT
  2. How Prompts Work
  3. Probability & Randomness
  4. Temperature

How Models Learn

  1. Training Data Scale
  2. Generalization
  3. Parameters
  4. Tuning the Model

Training in Practice

  1. The Training Process
  2. Developing Understanding
  3. Scale of Computation
  4. Hardware Reality

Making AI Helpful

  1. Pre-training Basics
  2. Supervised Fine-Tuning
  3. Reinforcement Learning
  4. Complete Training Pipeline
  5. GPU Technology
  6. The Parallelization Problem

Transformer Innovation

  1. Introduction to Transformers
  2. Words to Numbers
  3. Understanding Embeddings
  4. Introduction to Attention
  5. How Attention Works

Connecting the Pieces

  1. Feed-Forward Networks
  2. Multi-Layer Basics
  3. From Vectors to Predictions
  4. Complete Pipeline

AI Strengths & Limitations

  1. What LLMs Excel At
  2. Next to Master
  3. Core LLM Limitations
  4. Structural Constraints

Practical AI Use

  1. Prompt Engineering Fundamentals
  2. Advanced Prompting Techniques
  3. AI Literacy: Engaging & Creating
  4. AI Literacy: Managing & Designing
  5. Your AI-Augmented Future

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