AI Foundations for Builders
A platform-independent foundation course that orients learners to generative AI products, builder mindset, safe tooling, and academy progression (L1 Beginner → JC-FOUND). Learners leave knowing what to build first, how AI applications differ from classical ML courses, and how to prepare a secure environment for later API work. **Single source of truth:** This package publishes to **Jinn Education** and **UMTUBA Learning** without content duplication. Branding, pricing, certificate display, and storefront settings come from publishing overlays only (`publish_targets: BOTH`).
- Niveau ·
- Anfänger
- 8 Std.
- Module ·
- 4
- Lektionen ·
- 21
- Preis
- Kostenlos
Das lernst du
Fähigkeiten: builder-literacy · ai-product-map · ai-vs-ml-vs-genai · llm-behavior-literacy · secrets-mindset · portfolio-rules
Lehrplan
Nur Modul- und Lektionstitel. Der vollständige Inhalt wird nach der Einschreibung freigeschaltet.
The AI Applications Landscape
- What Builders Mean by an “AI Application”
- Product Map: Chat, Tools, RAG, Agents, Multimodal, Automation
- Academy Levels & Wave A / L1 Path
- Hype vs Shippable: Choosing First Wins
- M01 Wrap — The AI Applications Landscape
How LLMs Behave (Builder Literacy)
- Models, Providers, and Capabilities
- Tokens, Cost Intuition, and Latency
- Prompt → Completion Loop (Conceptual)
- Failure Modes: Ambiguity, Hallucination, Over-Refusal
- M02 Wrap — How LLMs Behave (Builder Literacy)
Builder Environment & Accounts
- OS, Terminal, and Editor Choices
- Python Runtime Preview
- Cloud/API Account Literacy & Billing Alerts
- Secrets Mindset: Never Hardcode
- M03 Wrap — Builder Environment & Accounts
Builder Passport & Pathway
- Portfolio Rules for L1
- Certification Path: JC-FOUND Overview
- Ethics, Data Care, and Acceptable Use
- Passport Walkthrough & JA-01 Graduation Checklist
- M04 Wrap — Builder Passport & Pathway
- JP-JA01 — AI Builder Passport