How to become an AI Engineer - Realistic Roadmap

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AI API Tool What is AI Engineering Topic AI Engineering Topic AI Roadmap Use Case AI Developer Audience AI Engineer Role Context Engineering Technique Prompt Engineering Technique Python Tool RAG Technique Function Calling Technique AI SDK Tool OpenAI Company Gemini Tool
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Top pick AI engineer courses: Associate AI Engineer for Developers - https://datacamp.pxf.io/jRmdn6 Associate AI Engineer for Data Scientists - https://datacamp.pxf.io/PzbGrN DataCamp - AI Fundamentals - https://datacamp.pxf.io/k4Wda3 This AI Engineering Roadmap for Beginners is a Realistic path to becoming properly ready for a job in this new AI industry! Want to learn to be an AI Engineer, check out the full roadmap https://roadmap.sh/ai-engineer 00:00 - Introduction - AI Roadmap 00:22 - Chapter 1 - AI Engineering Overview 00:48 - Chapter 2 - What is AI Engineering 01:26 - Chapter 3 - AI Job Market 01:55 - Chapter 4 - AI Engineer Roadmap Overview 02:34 - Chapter 5 - Python Programming 03:12 - Chapter 6 - AI Terminology - AGI LLM RAG DB 04:02 - Chapter 7 - How LLMs Work - Tokens Context Temp 04:56 - Chapter 8 - DataCamp AI Engineering Track 07:36 - Chapter 9 - Context Engineering 08:16 - Chapter 10 - Context Engineering - RAG 08:30 - Chapter 11 - Context Engineering - Context Compaction 09:03 - Chapter 12 - Context Engineering - Context Isolation 09:30 - Chapter 13 - Prompt Engineering - Zero Shot - Few Shot 10:07 - Chapter 14 - Prompt Engineering - Function Calling 10:38 - Chapter 15 - Prompt Engineering - Streaming Responses 11:08 - Chapter 16 - Prompt Engineering - System Prompting 11:32 - Chapter 17 - Prompt Engineering - Roles and Behaviours 11:50 - Chapter 18 - Prompt Engineering - Context and Constraints 12:09 - Chapter 19 - Prompt Engineering - Structured Outputs 12:26 - Chapter 20 - Types of Models 12:43 - Chapter 21 - Types of Models - Open / Closed Source 13:10 - Chapter 22 - Types of Models - Self Hosted Models 13:27 - Chapter 23 - Types of Models - Choosing the Right Model 14:18 - Chapter 24 - API and SDK 15:07 - Chapter 25 - Embedding Models 16:16 - Chapter 26 - Embedding Models - Vector Databases 16:54 - Chapter 27 - Embedding Models - RAG and Fine Tuning 17:35 - Chapter 28 - Model Context Protocol (MCP) 18:32 - Chapter 29 - Building MCP Servers and MCP Clients 19:03 - Chapter 30 - Security and Safety - Prompt Injection 19:51 - Chapter 31 - Multimodal AI 20:21 - Chapter 32 - AI Assisted Coding Tools - Cursor - Codex - Gemini A big thanks to DataCamp for sponsoring todays videos, if you want to learn more about them, and their courses and material to learn all about AI, definitely check out the links above! #ai #roadmap #datacamp Want to learn web design? ⭐ Check out my course! ⭐ 📘 Teach Me Design - Course: https://www.enhanceui.com/

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

◆ Fri 13 Nov 2026 ◆ KOKO, London
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Makers residency 4th edition
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Makers residency 4th edition
Fri 13 Nov 2026
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