Learning paths
Learn it in order
Structured, self-paced series. Each is a set of articles written to be read start to finish, so every part builds on the last.
6 paths18 lessons2.3 h of readingFree, no account needed
- 6 lessons · 41 min
Building Agentic AI Systems
A practical path from why agents matter to building your first multi-agent pipeline: the landscape, the key design decisions, and the hands-on build.
- 1The Agent Revolution Is Here, and Most Organizations Are Not Ready
- 2State of Coding Agents: Who Actually Wins on Real-World Tasks?
- 3RAG vs. Fine-Tuning: A 2026 Decision Framework for Practitioners
- + 3 more
- 3 lessons · 23 min
The Practical Data Analyst
The learning path that matches what employers actually ask for. SQL appears in over 80% of data analyst job postings, Excel in 60%, Python in 50%. This is the order to learn them in, why that order works, and the trap that costs most beginners a year.
- 1Window Functions Are SQL's Most Underused Feature. Five Patterns Cover Nearly Everything.
- 2Data Storytelling Teaches You to Present a Finding. Nobody Teaches You to Find One.
- 3Most Analytics Bugs Are Data Bugs. Five Checks That Catch Them Before the Meeting.
- 3 lessons · 35 min
Data Thinking Series
Learn how experienced Data Scientists think before they write code. The mindset behind data analysis, machine learning and AI: instead of memorising Python, SQL or Pandas commands, you learn how professionals ask questions, understand business problems, validate data, and make better decisions in the age of AI.
- 1The First Question Every Data Scientist Asks: What Does One Row Represent?
- 2AI Won't Replace Data Scientists. It Will Replace Lazy Ones.
- 3Before You Clean Your Data, Ask This One Question: Is It Actually Dirty?
- 3 lessons · 20 min
Building AI in Africa
Applied AI for African markets: the compute and capital realities, what sovereignty actually means, the local-data moat, and case studies across agriculture, fintech and public services. Built for practitioners solving real problems on real budgets.
- 1Rwanda Is Betting It Can Lead African AI Without Owning the Compute
- 2Sierra Leone Is Writing Its First AI Strategy. The Minister Asked a Better Question Than Most Rich Countries Do.
- 3A 125M-Parameter Model for 11 Languages Is Not a Small Story
- 1 lesson · 7 min
AI Foundations, Explained
Clear, no-hype explainers of how modern AI actually works: reasoning models, embeddings, retrieval, fine-tuning and the ideas behind the headlines. For practitioners who want to understand what they are actually using.
- 1What Are Embeddings? How Meaning Becomes Math
- 2 lessons · 14 min
From Notebook to Production
The engineering path from a model that works in a notebook to a system that runs reliably in production: deployment, monitoring, cost control, model routing, and the decisions that keep AI alive after the demo.
- 1Your Model Works in a Notebook. That Is the Easy Part.
- 2Serving a Model: Endpoint, Batch, or Embedded?
