The course guides you through evaluating, building, and refining AI solutions, helping you transform concepts into practical and effective prototypes.
Course details
In this course, learn how to evaluate the technical feasibility of AI solutions by considering critical factors such as data availability, resources, ethical implications, technology constraints, and security concerns. Instructor Maria Parysz shows you how to select appropriate AI models and tools that align with specific project

Requirements

, ensuring optimal performance and compatibility. The course provides hands-on experience in building AI product prototypes, enabling you to transform concepts into tangible solutions for initial testing and demonstration. Master techniques to evaluate prototype performance rigorously, using metrics and analysis to identify areas for improvement. By incorporating feedback and refining prototypes, you can ensure that your AI solutions are both effective and aligned with user and business needs. This comprehensive approach empowers you to move from ideation to implementation confidently, with a strong foundation in AI feasibility and prototyping.
Homepage:

https://www.linkedin.com/learning/ai-product-development-technical-feasibility-and-prototyping