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Your AI learning journey, step by step
Pick the level that fits you today. We've curated the right mix of reading, watching and structured courses for each stage — so you always know what to do next.
Choose where to start
Each level builds on the last. If you're not sure, start at the top — these are short reads and quick wins.
1. New to AI
Just getting started? Learn what AI is and how it works in simple words.
Coursera · DeepLearning.AIFeatured course
AI for Everyone
The most accessible introduction to artificial intelligence on the internet. Andrew Ng — co-founder of Coursera and a long-time AI educator — explains in plain language what AI can and cannot do, how it fits into a business, and how non-technical leaders should think about it.
7 min readRead
AI for job hunting: CVs, cover letters, and interview prep
9 minutesWatch
I wish every Job Seeker would watch this
2. Beginner
You know the basics. Learn practical skills and use AI with confidence.
Coursera · DeepLearning.AIFeatured course
Generative AI for Everyone
The natural next step after "AI for Everyone." This course is built specifically around generative AI — ChatGPT, Claude, Gemini, image generators — and the work you can actually get done with them today.
7 min readRead
Your first no-code automation: Zapier + AI in 20 minutes
19 minutesWatch
GPT Actions and Automations with Zapier AI Actions
3. Intermediate
Level up your skills and make AI work for you every day.
DeepLearning.AIFeatured course
ChatGPT Prompt Engineering for Developers
A short, sharp course taught by Isa Fulford (OpenAI) and Andrew Ng. It covers the prompting patterns that actually move the needle when you're building with an LLM API: iterative refinement, summarising, inferring, transforming, expanding, and chatbot design.
10 min readRead
Multilingual AI workflows for Estonian companies
4 minutesWatch
Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings
4. Advanced / Pro
Build advanced solutions, automate anything and create with AI.
Coursera · DeepLearning.AI + AWSFeatured course
Generative AI with Large Language Models
The most thorough technical course on LLMs that's still freely auditable. It walks through the transformer architecture, scaling laws, instruction fine-tuning, parameter-efficient fine-tuning (LoRA), reinforcement learning from human feedback, and the full LLM project lifecycle from problem definition to deployment.
11 min readRead
Secure document ingestion for RAG: PDFs, OCR, metadata, and retention
7 minutesWatch