AI Class: Season 2 — AI and Machine Learning in Plain English, cover by Jeffrey Clark

AI Class: Season 2 — AI & Machine Learning in Plain English (Ebook + Audio)

$20.00
Sale price  $20.00 Regular price 
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AI Class: Season 2 — AI and Machine Learning in Plain English, cover by Jeffrey Clark

AI Class: Season 2 — AI & Machine Learning in Plain English (Ebook + Audio)

$20.00
Sale price  $20.00 Regular price 

PDF ebook + MP3 audio. Instant download right after checkout — no shipping, no waiting.

Season 1 taught you the words. Season 2 teaches you the part you control when you talk to AI, how training actually works, and the wider map — vision, learning by trying, and how image AI works.

What's inside:

  • The complete Season 2 ebook (PDF, 12 pages) — Lessons 11–23 as chapters
  • 13 audio lessons (MP3) — the same lessons as audio, about 2–3 minutes each
  • Chapter 1 (Lesson 11) — LLM: what a large language model actually is
  • Chapter 2 (Lesson 12) — Prompts: why your wording changes the answer
  • Chapter 3 (Lesson 13) — Hallucinations: why AI sometimes states wrong things with total confidence
  • Chapter 4 (Lesson 14) — Temperature: the creativity dial
  • Chapter 5 (Lesson 15) — NLP: how machines handle human language
  • Chapter 6 (Lesson 16) — Loss Function: the score being minimized in training
  • Chapter 7 (Lesson 17) — Gradient Descent: walking downhill toward better answers
  • Chapter 8 (Lesson 18) — Epochs and Batches: how training is chopped into manageable pieces
  • Chapter 9 (Lesson 19) — Overfitting vs. Underfitting: memorizing vs. actually learning
  • Chapter 10 (Lesson 20) — Fine-Tuning: specializing a finished model for one job
  • Chapter 11 (Lesson 21) — Computer Vision: machines that make sense of pictures and video
  • Chapter 12 (Lesson 22) — Reinforcement Learning: learning by trying things and being scored
  • Chapter 13 (Lesson 23) — Diffusion Models: how AI image generators make pictures from static
  • A glossary of every new term taught, for quick reference
  • Every chapter ends with a one-line recap so the idea sticks

Do I need Season 1 first? Season 2 builds directly on it — model, training, inference, tokens, context window. Start with Season 1 if those words are new.

Do I need any prior knowledge or math? No. No equations, no code. Plain words with everyday analogies, same as Season 1.

Is this a certification? No. A plain-English foundation course for your own understanding, not affiliated with any school or AI company.

Will this make me money or get me a job? No such claim. It makes you fluent in the language of AI and in how to talk to it well.

Does every chapter have audio? Yes. All 13 chapters have a matching MP3 lesson.

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