Descriptions
AI Engineering Fundamentals, Become an engineer who can build, measure, and improve AI-powered systems. This course teaches you to add an agentic chat interface to an existing application and then establish a rigorous eval harness to systematically improve the agent. You will discover the discipline of AI Engineering and build better AI features that get more accurate over time.
The curriculum covers context engineering, advanced tool use, Retrieval-Augmented Generation (RAG), and creating reliable production feedback loops. You will learn to build an AI agent from scratch using TypeScript, run it on Cloudflare, and integrate it with a UI. The course also dives into creating evaluation harnesses to score agent performance, using context engineering to improve results, implementing advanced client-side and API-backed tools, and leveraging RAG with vector databases like Upstash to ground your agent in private data.
What you’ll learn
- Build, measure, and improve AI-powered systems using AI Engineering principles.
- Add an agentic chat interface to an existing application using Cloudflare Agents and TypeScript.
- Establish a rigorous evaluation harness to systematically score and improve agent performance.
- Apply context engineering and advanced tool-use strategies to enhance AI features.
- Implement Retrieval-Augmented Generation (RAG) to ground AI agents in private data using vector databases.
- Understand the full improvement loop of running evals, forming theories, making focused changes, and re-evaluating.
Who this course is for
- Engineers who want to build, measure, and improve AI-powered systems.
- Developers looking to add agentic chat interfaces to their applications.
- Programmers interested in establishing rigorous evaluation harnesses for AI agents.
- Individuals aiming to learn context engineering, advanced tool use, and RAG.
- Frontend developers with TypeScript and React experience who want to enter AI engineering.
Specificatoin of AI Engineering Fundamentals
- Publisher : Frontend Masters
- Teacher : Scott Moss
- Language : English
- Level : All Levels
- Number of Course : 49
- Duration : 9 hours and 5 minutes
Content of AI Engineering Fundamentals
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : Not Available
Quality: 2160p
Download Links
Downloadly links
Rapidgator Links
Password file(s): www.downloadly.ir
File size
4.47 GB
