[Free] Inside Micro1: How Human Expertise Powers Ai
How experts shape large language models using real-world knowledge, human feedback, and domain-specific tasks. – Free Course
What you’ll learn
- Understand how large language models (LLMs) are trained, including the role of tokens, next-token prediction, and context windows.
- Identify the different types of human data used to improve AI systems, from annotation to evaluation tasks.
- Explain the role of domain experts in shaping AI models through reinforcement learning from human feedback (RLHF).
- Describe how micro1 connects certified professionals with real-world opportunities in the human data and AI training ecosystem.
- Recognize the value of expert judgment in tasks where AI struggles, such as reasoning, ambiguity, or real-world decision-making.
- Learn how human feedback influences AI behavior and why quality, diversity, and clarity in data matter.
- Gain clarity on the certification process at micro1 and how to contribute to building safer, more capable AI systems.
Requirements
- No prior experience with AI or machine learning is required.
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.
Author(s): micro1 .ai
