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15 paths to practical AI skills

Choose a goal, complete an exercise and verify your result. No account required.

Foundations

Guide 00

Module 0 — Identify the Power of Prompting

Discover the concrete potential of generative AI by mastering the five key components of an effective prompt and structured JSON formats.

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Guide 01

Module 1 — Understand Generative AI and Prompt Anatomy

Consolidate the theoretical foundations of LLMs and learn to formulate controllable prompts using Zero-shot, One-shot and Few-shot techniques.

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Guide 02

Module 2 — Apply Structured and Controllable Outputs

Learn to constrain response formats to ensure automatic exploitability through strict JSON schemas.

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Techniques

Guide 03

Module 3 — Analyze Reasoning and Chain-of-Thought

Initiate LLMs to reason step by step using Chain-of-Thought and Self-Consistency techniques for robust results.

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Guide 04

Module 4 — Orchestrate Prompts: Chaining and Routing

Learn to orchestrate a multi-prompt workflow with conditional routes adapted to user context.

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Guide 05

Module 5 — Anchor AI in Reliable Sources (RAG)

Design an assistant anchored in your documents using Retrieval-Augmented Generation and guarantee verifiable responses.

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Applications

Guide 06

Module 6 — Synthesize AI Agents with ReAct

Assemble agents capable of reasoning, choosing tools, executing actions and self-correcting before responding.

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Guide 07

Module 7 — Imagine Creative and Multimodal Prompts

Exploit multimodal capabilities to generate visuals consistent with your brand identity and constraints.

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Mastery

Guide 08

Module 8 — Integrate Ethics, Security and Compliance

Learn to create AI systems aligned with your values, legal obligations and transparency requirements.

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Guide 09

Module 9 — L'ingénierie du contexte (Context Engineering)

Maîtrisez la discipline clé de l'IA moderne : concevoir, optimiser et gouverner le contexte fourni aux LLMs pour des performances de production.

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Complete courses

Guide 10

Module 10 — Introduction to Generative AI

Master generative AI in 80h: prompt engineering, ChatGPT, Claude, Copilot, Make automation, multimedia creativity, AI agents and final projects.

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Guide 11

Module 11 — Tech & AI Foundations

From zero to operational in 200h: Python, SQL, HTML/CSS, JavaScript, automation with Make, Zapier, n8n, and applied AI.

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Guide 12

Module 12 — Growth & Data Automation

Master Zapier, Make and n8n in 100h. Build complex automation workflows and data pipelines.

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Guide 13

Module 13 — Web Development & AI Software

200h to become a full-stack developer: Ruby, Rails, JavaScript, SQL, then integrate AI into your deployed web applications.

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Guide 14

Module 14 — AI for Marketing & RevOps

120h to master AI for marketing, sales and customer success: intelligent CRM, predictive lead scoring, multi-channel AI agents, revenue analytics.

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