Learn AI tools by doing.
Start with a tool tutorial, then use the courses to understand the reusable skill behind it.
Start with an actual tool task
The tutorial library is now the primary learning path; theory courses remain secondary.
Upload a document or spreadsheet, define the evidence boundary, and turn it into a verifiable result.
Open tutorial →ClaudeBuild and iterate with Claude ArtifactsCreate a self-contained document, prototype, diagram or interactive output beside the chat, then edit it in controlled iterations.
Open tutorial →GeminiCreate a reusable custom Gem in GeminiTurn a repeated prompt pattern into a reusable Gem with stable instructions, optional knowledge and a test loop.
Open tutorial →PerplexityUse Perplexity Pro Search for a focused research questionAsk a scoped question, let Pro Search gather sources, then refine the answer through follow-ups and citation checks.
Open tutorial →MidjourneyCreate your first controlled image in MidjourneyUse the Create page, write a prompt around visual decisions, generate variations, and refine the strongest direction.
Open tutorial →Claude CodeUse Claude Code safely in a real repositoryStart Claude Code inside a repository, let it inspect the project, implement one bounded task, run checks and review every important change.
Open tutorial →Continue learning
Skill courses
Use these after or alongside the tool tutorials to build skills that transfer between products.
AI for Beginners
Capabilities, limitations, hallucinations, models and verification.
Prompt Engineering
Goals, context, constraints, output formats, examples and evaluation.
AI for Everyday Work
Documents, summaries, research, structured outputs and data analysis.
AI Image Creation
Composition, lighting, camera language and reference-driven image workflows.
Create AI Videos
Plan shots, write prompts, control motion and finish a short video.
AI Audio & Voice
Narration, dubbing, pacing and responsible voice workflows.
AI Automation Fundamentals
Triggers, model steps, validation, fallbacks and reliable actions.
Build Your First AI App
Requests, APIs, server secrets, structured responses and UI states.
RAG Fundamentals
Documents, chunks, embeddings, retrieval and grounded answers.
AI Agents Fundamentals
Goals, tools, actions, observations, approvals and stop conditions.
Fine-tuning & LoRA Fundamentals
Datasets, adapters, evaluation and when to customize a model.