Scrimba AI Engineer Path: ship AI features on top of web skills
Quick Answer: The AI Engineer Path is 11.4 hours, 8 modules — agents, RAG, MCP, Vercel AI SDK. For web devs adding AI skills. Requires Pro.
Last reviewed: March 2026.
The AI Engineer Path
ProBuild apps powered by generative AI — an essential 2025/2026 skill. Learn about agents, RAG, MCP, multimodality, context engineering, and more.
View on Scrimba (opens in a new tab)What You'll Learn
The AI Engineer Path is Scrimba's newest and fastest-growing path. It teaches web developers how to build AI-powered applications using modern tools and frameworks.
Complete Module Breakdown
| Module | Duration | Lessons | Topics |
|---|---|---|---|
| Intro to AI Engineering | 2.4 hrs | 20 | LLM basics, API calls, prompt design |
| Deployment | 52 min | 1 | Deploying AI apps (Cloudflare) |
| Embeddings and Vector Databases | 95 min | 3 | Vector search, semantic similarity |
| Agents | 117 min | 6 | Autonomous AI agents, tool use |
| Context Engineering | 58 min | 5 | Optimizing LLM context windows |
| Vercel AI SDK | 113 min | 6 | Building AI UIs with Vercel |
| Model Context Protocol | 37 min | 3 | MCP servers and clients |
| Multimodality | 62 min | 2 | Image, audio, and video AI |
Total: 11.4 hours across 46 lessons
Who This Is For
- Web developers who want to add AI skills to their toolkit
- JavaScript/TypeScript developers — the path uses JS throughout
- Anyone building AI-powered products (startups, agencies, enterprise)
- Developers curious about agents, RAG, and MCP
Cutting-Edge Topics
This path covers the most in-demand AI engineering topics of 2025-2026:
- AI Agents — autonomous systems that use tools and make decisions
- RAG (Retrieval-Augmented Generation) — combining LLMs with your own data
- Model Context Protocol (MCP) — the emerging standard for AI tool integration
- Context Engineering — optimizing what you send to LLMs
- Vercel AI SDK — building production AI user interfaces
Related Individual Courses
These standalone courses cover specific AI topics in more depth:
- Intro to AI Engineering — starter course (requires Pro; check Scrimba for current availability)
- Learn AI Agents
- Learn RAG
- LangChain.js
- Claude AI
- Mistral AI
- OpenAI Assistants API
Choose This If
Choose this path if: You're a web developer wanting to add AI engineering skills — agents, RAG, MCP. Requires JS/TS comfort. Choose Fullstack if you need frontend/backend first.
Related Pages
- All Learning Paths
- AI Courses Hub
- Scrimba Pricing
- How to Learn AI Engineering on Scrimba
- AI Tools Every Developer Should Know — the broader AI tools landscape
No prior AI experience needed, but you should be comfortable with JavaScript/TypeScript and web development basics.
Yes. Scrimba regularly updates the AI Engineer Path. The Intro to AI Engineering module was updated in early 2026, and new modules on MCP and Context Engineering were added in 2025.
You'll be able to build AI-powered web apps with agents, RAG systems, and multimodal features using the Vercel AI SDK and various LLM APIs.
Start the AI Engineer Path
11.4 hours of cutting-edge AI engineering. Agents, RAG, MCP, and more.
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