Nia Joseph is an AI product leader and educator who helps organizations use AI in clear, practical ways. She currently works within Microsoft, contributing to internal AI initiatives that support global marketing and operations teams. Her work focuses on improving workflows, guiding team adoption, and helping cross-functional groups understand how AI can support everyday tasks. All insights she shares publicly reflect her personal experience and do not represent Microsoft.

Nia also shares her knowledge through teaching and curriculum work with LinkedIn Learning, DataCamp, and several universities. Her courses reach thousands of learners and focus on AI literacy, prompting skills, and simple workflow frameworks. She has taught at UT Austin, UNLV, and Northwestern University, helping students and professionals build confidence using AI in their daily work.

She is known for making AI feel simple and useful. Her teaching blends practical frameworks with real examples from her work in product, operations, and team education. She focuses on helping people identify where AI fits, how to introduce it to their teams, and how to create early wins without technical complexity.

Through TechFren, Nia supports organizations looking to strengthen their AI skills and prepare their teams for the next wave of digital transformation. Her mission is to make AI feel approachable and to help people use it in ways that genuinely improve their work.