Top AI Skills to Learn in 2026: From RAG to AI Agents

Updated on November 18, 2025 7 minutes read

Diverse AI engineers collaborating at a workstation, analysing a neural network dashboard, and building production-ready AI features together.

Frequently Asked Questions

Is RAG still worth learning in 2026?

Yes. RAG remains the most practical way to deliver accurate, auditable answers over private data. It also teaches retrieval, evaluation, and logging skills every AI team uses.

What’s the difference between RAG and an AI agent?

RAG grounds answers with trusted sources; an agent takes actions using tools. Start with RAG for reliability, then layer a small, safe agent with timeouts.

How do I show safety in a portfolio?

Add a “Risks & Mitigations” section: injection checks, I/O filters, secret handling, and a red‑team note. Show one failure you caught and how you fixed it.

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