Inside micro1: How human expertise powers AI

How experts shape large language models using real-world knowledge, human feedback, and domain-specific tasks.

Description

Artificial intelligence systems are only as strong as the data they learn from — and increasingly, that data comes from real people with real expertise. This course explores how domain professionals are helping shape the future of AI by contributing their knowledge to train, evaluate, and guide large language models (LLMs) at scale.

Whether you’re a lawyer, researcher, analyst, developer, or financial expert, you’ll learn how your skills can be applied to the growing field of human data work. We’ll cover what LLMs are, how they’re trained, and where human input fits into the process, especially during post-training stages like reinforcement learning from human feedback (RLHF). You’ll also explore examples of tasks that require human judgment, what makes this input valuable, and how models learn from it.

Through the lens of micro1, a global platform that connects certified professionals with cutting-edge AI projects, this course also introduces how talent are selected, what certification looks like, and what kinds of opportunities are available.

By the end, you’ll have a clear understanding of how your expertise can help shape the behavior, accuracy, and safety of AI systems used around the world, and how to get involved through micro1.

No prior AI experience required.

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