AI-First Product Management
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
Want to thrive in an AI-first world? Our FREE Survival Skills Series gives you new tools to add to your kit.
London
Joana is a data aficionado with a passion for education. Her ambition is to help people demystify the world of data and make analytics second nature while having fun.
Having worked both in strategy consulting and industry, she's had projects across retail & wholesale, supply chain and financial services. In her last 8 years of experience, she's spent most of her time doing financial modelling, building bespoke data analytics products and wrangling data - a lot of it! This has required her to not only be able to technically develop solutions but also understand the wider business context and relate to people's needs, which she tries to embed in her teaching style.
She currently works as a Data Engineer in a fintech startup helping people lead better financial lives. When she's not knee deep in queries she is most likely on top of a mountain, on a yoga mat or flying a drone.
In recognition of her exemplary service in the classroom, Joana has been selected as a member of General Assembly's Distinguished Faculty program.
This course is designed to help learners build the product management skills companies are looking for today by blending proven PM practices with the power of AI.
This course is designed to prepare learners to use the most powerful Generative AI tools and apply the strategic frameworks needed to leverage them effectively and responsibly.
In this course, the learner will gain a hands-on introduction to data analytics and visualization using SQL and Tableau.
Join our global community of instructors and help shape the next generation of industry leaders — while moving your own career forward with proven subject matter expertise, leadership experience, and public speaking skills. Teach online or on campus, full-time or part-time.
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