Ai-Powered Product Design: Research, Build & Ship Faster
Published 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 45m | Size: 380.2 MB
What you'll learn
Apply ChatGPT and Claude to synthesize large bodies of user research and feedback into actionable product insights - in a fraction of the time.
Execute multi-source research synthesis using NotebookLM to surface patterns and themes across messy, real-world data sets.
Build functional AI-powered apps and prototypes using Google AI Studio - without needing a full engineering background.
Run generative AI code in Python via Google Colab to automate and accelerate product analysis workflows.
Implement Retrieval-Augmented Generation (RAG) to create smarter, context-aware AI systems tailored to product design tasks.
Craft high-leverage prompts that function as strategic product research tools, not just chat queries.
Conduct advanced product data analysis using ChatGPT and Claude to make faster, evidence-backed design and prioritization decisions.
Operate Microsoft Copilot and Google AI Studio confidently within real product design and management workflows.
Detect and mitigate bias, hallucinations, and inaccuracies in AI-generated outputs before they influence product decisions.
Protect sensitive user and business data by applying best practices for privacy and responsible AI use in professional product environments.
Requirements
Here is a clear, beginner-friendly prerequisites statement for your course: No prior AI or coding experience is required - this course is designed to meet you where you are. A basic familiarity with product management or UX design concepts will help you get the most out of the material, but even that is not a strict requirement. All tools used in this course - including ChatGPT, Claude, NotebookLM, Google AI Studio, and Google Colab - are free or have free tiers, and setup is walked through step by step. For the Python and RAG sections, all code is provided and fully explained, so you do not need to be a developer to follow along. All you need is a laptop, a curious mind, and a willingness to experiment with AI in a hands-on way.
Description
This course contains the use of artificial intelligence*.
(*Some images used in this course have been created using artificial intelligence (AI) for illustrative and educational purposes. These images are not real photographs of actual people, organisations, or events and are intended solely to support learning and understanding.)
If you're a product manager, UX designer, or aspiring builder who's heard "use AI in your workflow" a hundred times but still isn't sure how - this course is your answer.
Are you watching competitors ship faster, research deeper, and design smarter, while you're still copy-pasting user feedback into spreadsheets? Do you sense that AI is transforming product design but can't find a course that goes beyond surface-level tips and actually puts the tools in your hands? That gap ends here.
Product Design with AI is a hands-on, practitioner-focused course that takes you from AI-curious to AI-capable. Across 16 structured lectures, you'll move through the full product design lifecycle - research, discovery, prototyping, analysis, and responsible use - armed with the most powerful AI tools available today: ChatGPT, Claude, NotebookLM, Google AI Studio, Microsoft Copilot, and more. This isn't theory. Every concept is paired with real demonstrations, working code, and practical workflows you can deploy immediately.
In this course, you will
• Apply AI agents like ChatGPT and Claude to accelerate user research, problem discovery, and feedback synthesis
• Build functional prototypes and lightweight apps using Google AI Studio - no deep coding background required
• Execute multi-source research synthesis using NotebookLM to surface insights from messy, real-world data
• Run basic generative AI code in Python via Google Colab, demystifying the technical layer of AI tools
• Implement Retrieval-Augmented Generation (RAG) - the technique powering the smartest AI products - with a guided code walkthrough
• Conduct advanced product data analysis using ChatGPT and Claude to make faster, evidence-backed decisions
• Craft high-leverage prompts that function as product insights, not just chat queries
• Navigate bias, hallucination, and data privacy risks so you can use GenAI responsibly in a professional setting
Why does this matter now?
AI isn't coming to product design - it's already here. Teams that know how to direct AI tools are doing in hours what used to take weeks. Whether you're conducting user interviews, synthesizing research, analyzing usage data, or scoping features, there is an AI workflow that makes you faster and sharper. The product managers and designers who thrive in the next five years won't be those who know the most about AI in the abstract - they'll be the ones who've actually used it, debugged it, and built systems around it.
What makes this course different?
This course doesn't just survey AI tools from the outside - it puts them in your hands. You'll complete video-guided demonstrations, quizzes that reinforce your mental models, and role plays that simulate real product design scenarios, so you're not just watching someone else use AI - you're practicing with it yourself. The curriculum covers both the creative side (research, ideation, synthesis) and the technical side (Python, RAG, local LLMs), giving you rare end-to-end fluency without requiring an engineering background.
Ready to design smarter? Enroll now and start building the AI-augmented product practice that your competitors wish they had.
Who this course is for
Product Managers who want to use AI tools like ChatGPT and Claude to accelerate user research, synthesize feedback, and make faster data-driven decisions.
UX Designers who want to integrate generative AI into their discovery and problem-definition process to uncover deeper user insights more efficiently.
Aspiring Product Managers who want to stand out in a competitive job market by demonstrating hands-on proficiency with AI-powered product workflows.
Startup Founders and Indie Builders who want to move faster from idea to validated product using AI tools without relying on a large research or design team.
Business Analysts who want to apply generative AI to synthesize complex data sets and deliver sharper, faster product and market insights.
Tech-curious Professionals transitioning into product roles who want to build practical AI skills that make them immediately valuable in modern product teams.
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