Academy · 12 August 2026
What is RAG, and when do you actually need it?
Retrieval-augmented generation is how most companies ground LLMs in private documents. Here is a plain-language explanation.
6 min read
A realistic AI Engineer career roadmap
Careers · 28 July 2026 · 8 min read
Hiring managers for AI Engineer roles look for evidence you can ship: a repo they can run, an evaluation note, and a story about a failure you fixed.
A useful sequence is foundations → RAG → agents → deployment. Jumping straight to multi-agent demos without retrieval or evals is a common way to stall in interviews.
Our AI Engineer learning path is built around that sequence, with courses that produce artifacts you can put on GitHub and talk through.
More from the hub
Academy · 8 August 2026
AI agents vs Microsoft Copilot: which path is yours?
Both can automate work. One is a product inside Microsoft 365. The other is software you design and operate.
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Salesforce · 2 August 2026
A practical introduction to Salesforce Agentforce
Agentforce sits on CRM data. That is an advantage — if your org, security, and flows are already in good shape.
5 min read