Creating AI products requires more than just algorithms — it demands a fusion of design, data, ethics, and user-centered thinking. This course bridges the gap between AI research and real-world applications by teaching you how to conceptualize, prototype, and launch products that leverage AI effectively and responsibly.

You’ll learn how to identify viable use cases, define data requirements, collaborate with ML engineers, and ensure interpretability and fairness in AI-driven features. Through hands-on case studies in healthcare, finance, education, and SaaS, you’ll design intelligent systems that serve actual needs — not hype. Whether you’re a product manager, designer, developer, or startup founder, this course prepares you to navigate the AI lifecycle from ideation to deployment.

Topics include aligning AI capabilities with business goals, ethical and legal implications, working with structured and unstructured data, and creating intuitive user experiences around probabilistic outputs. By the end, you’ll have the strategic and technical confidence to deliver usable, scalable, and human-centered AI solutions.

Delivery
Courses are delivered 100% online. Learn on your schedule — videos, case studies, and templates are available instantly upon enrollment. All content is optimized for mobile and desktop.

Refunds
If you’re not confident applying AI in a product environment by the course end, request a full refund within 30 days.

Language
English

Curriculum
Module 1: AI Opportunity Framing – Use case discovery, value alignment, AI feasibility analysis.
Module 2: Designing for AI – UX for uncertainty, human-in-the-loop design, explainability.
Module 3: Data, Ethics, & Collaboration – Data sourcing, bias mitigation, cross-functional teaming.
Module 4: From Prototype to Market – MVPs, no-code tools, GTM strategy, feedback loops.
Capstone AI Product Brief: Design and outline a launch-ready AI feature or product roadmap based on a real-world domain.