Curated Resources

A handpicked collection of high-quality resources for AI engineers and researchers.

AI Agents Course

Beginner to Intermediate

This free course guides learners from beginner to expert in understanding, using, and building AI agents. It covers theoretical foundations, practical applications, and hands-on experience with established AI agent libraries, making it highly relevant for those aiming to become proficient AI engineers.

Format

The course comprises foundational units, hands-on sections with pre-configured environments, use case assignments, and a final challenge, all delivered through interactive online modules.

Prerequisites

Basic knowledge of Python and large language models (LLMs).

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AI Engineering: Building Applications with Foundation Models

Intermediate

This book by Chip Huyen provides a comprehensive guide to developing AI applications using readily available foundation models. It covers the entire process, from understanding AI engineering principles to deploying efficient AI solutions, making it a valuable resource for those aiming to build practical AI products.

Format

Paperback and Kindle editions.

Intended Audience

Technical roles including AI engineers, ML engineers, data scientists, engineering managers, and technical product managers. A basic understanding of machine learning concepts and Python programming is recommended.

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