AI Foundations

Modalità
Online
Lingua
en
Livello
foundations

Il corso

Use ChatGPT, Claude, and Gemini with confidence at work: learn the vocabulary, how models work, when to verify them, and reusable prompts. 8 chapters, foundations level.

Identità del corso

Materie

AI literacy course, AI for professionals, how AI works explained, ChatGPT for work, when to trust AI, AI prompting basics, AI fundamentals course, Claude Projects setup, AI benchmarks explained, AI course for beginners

Livello

foundations

Lingua

en

Programma e obiettivi

Obiettivi
  • Use ChatGPT, Claude, and Gemini for everyday work tasks like drafting, summarizing, and analysis
  • Explain core AI concepts such as tokens, embeddings, attention, and prediction without math
  • Spot the three common AI failure modes and run a 30-second verification check
  • Set up persistent context with ChatGPT Custom Instructions, Claude Projects, and Gemini Gems
  • Read a vendor model report card and judge what benchmark percentages do and do not measure
  • Design and run a small benchmark on your own data to test if AI is ready for a real task
  • Apply five repeatable prompting patterns and a 7-day plan to make AI a daily co-worker
Programma
  • Url: https://aiacademy.anthropos.work/chapters/ai-literacy-intro/ · AI Foundations: Start Here · Position: 1 · Orientation across the AI Foundations skill path — vocabulary, mechanism, judgment, daily-practice habits, and prompt persistence, with judgment-depth chapters on reading and building AI benchmarks, plus five paths through based on where you're starting from
  • Url: https://aiacademy.anthropos.work/chapters/ai-landscape-decoded/ · AI Concepts Decoded · Position: 2 · A decoder ring for every AI concept — what it means, which shelf it goes on, and the next question to ask
  • Url: https://aiacademy.anthropos.work/chapters/how-ai-actually-works/ · How AI Actually Works (For Curious Humans) · Position: 3 · The machine under the magic — tokens, embeddings, attention, and prediction, explained without math
  • Url: https://aiacademy.anthropos.work/chapters/your-first-week-with-ai/ · Your First Week with AI · Position: 4 · Five patterns, four surfaces, and a 7-day plan that turns ChatGPT or Claude into a daily co-worker by the end of week one
  • Url: https://aiacademy.anthropos.work/chapters/ai-judgment-trust-verify/ · AI Judgment: When to Trust, When to Verify · Position: 5 · Spot the three failure modes, run a 30-second verify, and build the daily habit that keeps AI useful instead of dangerous
  • Url: https://aiacademy.anthropos.work/chapters/modern-prompt-stack/ · Your Modern Prompt Stack · Position: 6 · Stop retyping the same context every chat — configure ChatGPT Custom Instructions, Claude Projects, and Gemini Gems as your persistent prompt library, and recognize when a long chat has stopped serving you
  • Url: https://aiacademy.anthropos.work/chapters/understanding-ai-benchmarks/ · Understanding AI Benchmarks · Position: 7 · Decode the percentages every vendor cites — what they measure, what they hide, and how to read a model report card without an engineering degree
  • Url: https://aiacademy.anthropos.work/chapters/build-your-own-ai-benchmark/ · Does AI Work For Your Job? Measure It · Position: 8 · Design and run a mini-benchmark on your own data to decide whether AI is really ready for a real task — no code required
Competenze acquisite
  • Use ChatGPT, Claude, and Gemini for everyday work tasks like drafting, summarizing, and analysis
  • Explain core AI concepts such as tokens, embeddings, attention, and prediction without math
  • Spot the three common AI failure modes and run a 30-second verification check
  • Set up persistent context with ChatGPT Custom Instructions, Claude Projects, and Gemini Gems
  • Read a vendor model report card and judge what benchmark percentages do and do not measure
  • Design and run a small benchmark on your own data to test if AI is ready for a real task
  • Apply five repeatable prompting patterns and a 7-day plan to make AI a daily co-worker

Edizioni

Edizioni

Course Mode: online · Course Workload: PT159M · Mode: online

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