Published 7/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 7m | Size: 678 MB
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 7m | Size: 678 MB
Innovation Made Practical: Learn User Research, Problem Framing, AI-Enhanced Ideation, and Persuasive Pitching
What you'll learn
Identify the role and scope of generative AI in discovering innovative products or services.
Explain the key ethical considerations of integrating AI throughout the design thinking process (bias mitigation, privacy protection, and transparency)
Apply the 5-step design thinking process to solve a real organizational design challenge.
Empathize with users through structured interviews, observations and insights obtained with AI when addressing complex problems.
Requirements
A curious and open mindset - ready to explore creative problem-solving.
Basic digital literacy - comfort using web-based tools and platforms.
Access to a computer or tablet with internet connection.
(Optional but helpful) A Google account to access AI tools like Gemini or NotebookLM.
(Optional) Prior exposure to innovation, product design, or strategy can enhance your learning, but is not mandatory.
Description
Innovation has never been more critical-or more challenging. Organizations are racing to create solutions that truly matter while leveraging AI to accelerate their processes, but most innovation efforts fail because teams skip crucial steps in understanding users, jump to solutions too quickly, or build products nobody actually wants. Traditional design approaches weren't built for our current reality where AI tools can generate ideas in seconds and analyze user data at unprecedented scale, yet many organizations either ignore AI's potential or use it incorrectly-treating it as a replacement for human insight rather than an amplifier of human-centered design.Without a systematic approach combining deep user understanding with AI-enhanced processes, you'll face costly failures, missed opportunities, and solutions that fail in the real world. Your organization risks being outpaced by competitors who validate ideas quickly and scale human-centered solutions using AI as strategic advantage.That is why we created Design Thinking in the Age of AI-a comprehensive methodology that integrates proven Design Thinking principles with cutting-edge AI capabilities, giving you the framework to innovate systematically from user empathy through validated solutions.You'll master the five-phase AI-enhanced Design Thinking process: strategic empathy through structured user research and AI-powered pattern analysis; intelligent problem definition using convergent thinking frameworks and Generative AI insights; AI-powered ideation with breakthrough solution generation; rapid validation through Alberto Savoia's pretotyping principles and functional MVP creation using tools like V0 Dev, Claude Artifacts, and Gemini Canvas; and strategic communication that translates validated innovations into compelling stakeholder proposals. You'll navigate critical ethical considerations including bias mitigation, privacy protection, and transparency requirements. Your organization will move faster without sacrificing quality, create solutions people actually use, and build competitive advantage by combining human insight with AI acceleration.This course is perfect for: Product managers, innovation consultants, entrepreneurs, corporate strategists, UX researchers, and anyone responsible for creating solutions that matter to real people.Are you ready to be stay ahead of your competitors and get a competitive advantage?
Who this course is for
Entrepreneurs and startup founders that want to get insights so that they can create a new market (a blue market) while levaraging the hype of AI.
CEOs that want to introduce innovation and agile methodologies in their operations that allows them compete in a different industry or launch a new business line in their same industry.
UX/UI Designers that want to find and validate products that solve users' problems quickly and in a more reliable way.
Product Managers and Product Owner that want to use AI to gain deeper user insights, validate ideas faster, and inform their product roadmaps.
NGOs that want to make sure their interventions make a bigger impact by implementing a bottom-up approach that listens to communities' problems and empower them to find their own solutions.
Colleage and university students majoring innovation, design and technology that want to develop a competitive advantage that they can use in their field of expertise.
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