I took this class in preparation for a proposal for a new job opportunity and the chance to create a net new opportunity within the company I work in. It ws a great experience in that I was able to collaborate across divisions and enact massive organizational change with the adoption of my proposal.
Product School’s AI for Product Certification offered hands-on experience in building AI-driven products, designing AI-native user experiences, and optimizing non-deterministic systems.
This certification covered AI strategy, prompt engineering, and GenAI product development, equipping me with the skills required to integrate AI capabilities into product roadmaps and create user-centric, AI-powered solutions.
Through practical projects and industry mentorship, I completed projects that tested my ability to implement AI product strategy, design AI-native user experiences, and create a GenAI Product Requirement Document (PRD).
My final project focused on accelerating ASIC chip design automation using Generative AI, aligning AI innovation with real-world business objectives at my current company.
Low-Code AI Chatbot for Solar ROI Estimation
• Built an AI-powered chatbot for a fictitious solar company, integrating Google Maps and Google Solar APIs.
• Enabled real-time ROI estimation based on location-based solar potential analysis.
• Designed AI-driven conversational flows for customer engagement and lead generation.
Warp Speed: Generative AI for ASIC Design Acceleration
• Developed a Generative AI strategy to automate ASIC chip design workflows.
• Created an AI-native Product Roadmap and PRD, defining automated optimization models for semiconductor design.
• Designed AI-driven user interactions, enabling faster validation, iteration, and debugging in chip design.
• AI Product Strategy & Roadmapping – Building AI-driven product visions and aligning technical feasibility with business goals and user needs
• Prompt Engineering & GenAI Application Development – Developing low-code AI applications and refining natural language interactions for usability.
• GenAI Product Requirements – Writing AI-centered PRDs to define model performance, user interactions, and ethical considerations.
• AI-Native User Experience Design – Creating intuitive, AI-powered interfaces that improve user workflows.
• Evaluating Non-Deterministic Systems – Understanding AI variability, risk mitigation, reliability and optimization strategies.
• AI Integration in Technical Workflows – Accelerating ASIC chip design automation using Generative AI.
• AI & GenAI Development: Prompt engineering, model fine-tuning, low-code AI tools
• Product Strategy & Roadmapping: AI-native PRD development, feature prioritization
• UX & Interaction Design: AI-powered user experiences, chatbot UX workflows
• APIs & Data Integration: Google Maps API, Google Solar API, Airtable, ChatGPT
I took this class in preparation for a proposal for a new job opportunity and the chance to create a net new opportunity within the company I work in. It ws a great experience in that I was able to collaborate across divisions and enact massive organizational change with the adoption of my proposal.
Product School’s AI for Product Certification offered hands-on experience in building AI-driven products, designing AI-native user experiences, and optimizing non-deterministic systems.
This certification covered AI strategy, prompt engineering, and GenAI product development, equipping me with the skills required to integrate AI capabilities into product roadmaps and create user-centric, AI-powered solutions.
Through practical projects and industry mentorship, I completed projects that tested my ability to implement AI product strategy, design AI-native user experiences, and create a GenAI Product Requirement Document (PRD).
My final project focused on accelerating ASIC chip design automation using Generative AI, aligning AI innovation with real-world business objectives at my current company.
• AI Product Strategy & Roadmapping – Building AI-driven product visions and aligning technical feasibility with business goals and user needs
• Prompt Engineering & GenAI Application Development – Developing low-code AI applications and refining natural language interactions for usability.
• GenAI Product Requirements – Writing AI-centered PRDs to define model performance, user interactions, and ethical considerations.
• AI-Native User Experience Design – Creating intuitive, AI-powered interfaces that improve user workflows.
• Evaluating Non-Deterministic Systems – Understanding AI variability, risk mitigation, reliability and optimization strategies.
• AI Integration in Technical Workflows – Accelerating ASIC chip design automation using Generative AI.
• AI & GenAI Development: Prompt engineering, model fine-tuning, low-code AI tools
• Product Strategy & Roadmapping: AI-native PRD development, feature prioritization
• UX & Interaction Design: AI-powered user experiences, chatbot UX workflows
• APIs & Data Integration: Google Maps API, Google Solar API, Airtable, ChatGPT
Low-Code AI Chatbot for Solar ROI Estimation
• Built an AI-powered chatbot for a fictitious solar company, integrating Google Maps and Google Solar APIs.
• Enabled real-time ROI estimation based on location-based solar potential analysis.
• Designed AI-driven conversational flows for customer engagement and lead generation.
Warp Speed: Generative AI for ASIC Design Acceleration
• Developed a Generative AI strategy to automate ASIC chip design workflows.
• Created an AI-native Product Roadmap and PRD, defining automated optimization models for semiconductor design.
• Designed AI-driven user interactions, enabling faster validation, iteration, and debugging in chip design.
I took this class in preparation for a proposal for a new job opportunity and the chance to create a net new opportunity within the company I work in. It ws a great experience in that I was able to collaborate across divisions and enact massive organizational change with the adoption of my proposal.
Product School’s AI for Product Certification offered hands-on experience in building AI-driven products, designing AI-native user experiences, and optimizing non-deterministic systems.
This certification covered AI strategy, prompt engineering, and GenAI product development, equipping me with the skills required to integrate AI capabilities into product roadmaps and create user-centric, AI-powered solutions.
Through practical projects and industry mentorship, I completed projects that tested my ability to implement AI product strategy, design AI-native user experiences, and create a GenAI Product Requirement Document (PRD).
My final project focused on accelerating ASIC chip design automation using Generative AI, aligning AI innovation with real-world business objectives at my current company.
• AI Product Strategy & Roadmapping – Building AI-driven product visions and aligning technical feasibility with business goals and user needs
• Prompt Engineering & GenAI Application Development – Developing low-code AI applications and refining natural language interactions for usability.
• GenAI Product Requirements – Writing AI-centered PRDs to define model performance, user interactions, and ethical considerations.
• AI-Native User Experience Design – Creating intuitive, AI-powered interfaces that improve user workflows.
• Evaluating Non-Deterministic Systems – Understanding AI variability, risk mitigation, reliability and optimization strategies.
• AI Integration in Technical Workflows – Accelerating ASIC chip design automation using Generative AI.
• AI & GenAI Development: Prompt engineering, model fine-tuning, low-code AI tools
• Product Strategy & Roadmapping: AI-native PRD development, feature prioritization
• UX & Interaction Design: AI-powered user experiences, chatbot UX workflows
• APIs & Data Integration: Google Maps API, Google Solar API, Airtable, ChatGPT
Low-Code AI Chatbot for Solar ROI Estimation
• Built an AI-powered chatbot for a fictitious solar company, integrating Google Maps and Google Solar APIs.
• Enabled real-time ROI estimation based on location-based solar potential analysis.
• Designed AI-driven conversational flows for customer engagement and lead generation.
Warp Speed: Generative AI for ASIC Design Acceleration
• Developed a Generative AI strategy to automate ASIC chip design workflows.
• Created an AI-native Product Roadmap and PRD, defining automated optimization models for semiconductor design.
• Designed AI-driven user interactions, enabling faster validation, iteration, and debugging in chip design.
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