9 min read

How to Learn AI Engineering in 2026: A Practical Roadmap

A step-by-step roadmap to learn AI engineering: LLM basics, prompting, RAG, agents, evals and production, with free hands-on practice.

Read guide

7 min read

What Is an AI Engineer? Role, Skills and How to Become One

What AI engineers do, how the role differs from ML and software engineering, the skills you need, and a realistic path to becoming one.

Read guide

8 min read

What Is RAG (Retrieval-Augmented Generation)? A Clear Guide

RAG explained simply: how retrieval-augmented generation works, why it reduces hallucinations, how to build a RAG pipeline and how to evaluate it.

Read guide

7 min read

Prompt Engineering Guide: Techniques That Work in Production

A practical prompt engineering guide: clear instructions, few-shot examples, delimiters, output formats, reasoning prompts and testing prompts with evals.

Read guide

7 min read

What Are AI Agents? How They Work and When to Use Them

AI agents explained: the agent loop, tools, workflows vs agents, multi-agent systems, memory, and the guardrails you need before shipping one.

Read guide

6 min read

What Is MCP (Model Context Protocol)? A Beginner's Guide

Model Context Protocol (MCP) explained: hosts, clients and servers, tools, resources and prompts, transports, security, and how to build your first MCP server.

Read guide

7 min read

LLM Evals: How to Test and Measure AI Applications

How to evaluate LLM applications: building eval datasets, code-based graders, LLM-as-judge, human review, RAG metrics and running evals in CI.

Read guide

6 min read

Learn AI for Beginners: Where to Start (Free, Hands-On)

A beginner-friendly guide to learning AI: what to learn first, the key ideas behind ChatGPT-style models, and free hands-on lessons to start today.

Read guide