A hands-on AI learning cockpit with lessons, prompt labs, challenges, interview prep, quizzes, and tools built around real AI work.
New Structured learning paths for 8 roles — from Prompt Engineer to AI Agent Developer — pick yours below.
Token counters, prompt optimisers, cost estimators and more — sharper utilities for everyday AI work.
Explore ToolsTutorials, model breakdowns, and interview guides — AI explained clearly.
Read the BlogPractice real-world AI tasks that feel closer to work than homework.
Start ChallengePrepare with focused AI/ML and GenAI questions shaped for interviews and screening rounds.
Prepare NowQuick checks that make concepts, prompting patterns, and terminology stick.
Take QuizAn adaptive test that gets harder when you're right and easier when you're not. You finish with a skill map across 12 core AI skills and a study plan that tells you what to learn next, linked straight to ailearnist lessons and labs.
Same fundamentals, different destination. Pick a track curated for how you'll actually use AI day to day.
Prompt patterns, few-shot design, structured output, and systematic prompt evaluation.
APIs and SDKs, streaming, tool calling, caching, and shipping reliable LLM features.
Chunking, embeddings, vector search, re-ranking, and grounded answers with citations.
Agent loops, MCP servers, multi-agent pipelines, memory, and guardrails that hold up.
Supervised learning, feature engineering, training loops, and model evaluation metrics.
Deployment, monitoring, prompt versioning, cost control, and CI/CD for AI systems.
AI for Excel and BI, text-to-SQL, automated reporting, and checking AI-generated numbers.
Scoping AI features, build-vs-buy, eval-driven roadmaps, and responsible AI trade-offs.
AI is becoming the tool every data and tech job runs on. You don't need a degree, a GPU or a credit card: every lesson runs right here in your browser.
Role: You are a helpful data analyst. Task: Summarise this sales table in 3 bullets. Format: Bullets, under 15 words each.
Three lines. Role, task, format — the same anatomy you'll practise in Lesson 1.
What artificial intelligence is, what it isn't, and where it shows up in real work.