--- title: "Building AI Products & Workflows — free course" description: "From use-case discovery to production: prototyping, models, orchestration, privacy, evaluation, economics, UX and regulation" url: https://optimizeall.com/learn/building-ai-products-and-workflows updated: 2026-10-05 --- AI · Advanced · 421 minutes · free · updated Sep 2026 # Building AI Products & Workflows From use-case discovery to production: prototyping, models, orchestration, privacy, evaluation, economics, UX and regulation - **Lessons:** 18 in 7 modules - **Video lectures:** 18 lectures, 156 minutes - **Updated:** Sep 2026 ## Tools you'll use - Claude API - Message Batches API - Model Context Protocol - OpenTelemetry - FastAPI - Pydantic - n8n - Claude Code - GitHub Copilot - Cursor [Start the course](https://optimizeall.com/learn/building-ai-products-and-workflows/finding-high-value-use-cases) ## About this course Most AI initiatives stall between an impressive demo and dependable daily use. This advanced course is for product managers, operations leads, founders and team heads who decide what gets built and make it work. You will find and scope high-value use cases, prototype on real data with spreadsheets and AI coding tools, and decide whether to build, buy or blend. You will choose models per route, orchestrate reliable workflows and integrate AI with the systems you already run, including through MCP. You will design privacy-aware, secure data flows, run evaluation-driven development, monitor quality, cost and drift, model cost per successful outcome, and design trustworthy UX for both suggestions and agentic actions. Finally, you will turn the 2026 regulatory landscape into product requirements, set up proportionate governance and scale adoption. Hands-on templates, prompts and code throughout. ## What you will learn - Identify, prioritise and scope high-value AI use cases with clear success and kill criteria - Prototype on real data with spreadsheets and AI coding tools, and decide build, buy or blend - Choose models per route and design orchestrated, well-integrated AI workflows that can change - Design privacy-aware data flows and mitigate AI-specific security and vendor risks - Run evaluation-driven development and monitor quality, cost, user signals and drift - Model cost per successful outcome and design trustworthy UX for suggestions and agentic actions - Turn 2026 AI regulation into product requirements and scale adoption with proportionate governance ## Course content ### Finding and scoping high-value use cases Identify where AI creates real value, prioritise ruthlessly, and define success before anything is built. - [Finding high-value AI use cases](https://optimizeall.com/learn/building-ai-products-and-workflows/finding-high-value-use-cases): 12 min - [Scoping and defining success](https://optimizeall.com/learn/building-ai-products-and-workflows/scoping-and-success-metrics): 11 min ### Prototyping and build vs buy Validate ideas quickly with prototypes, including AI coding tools, and decide whether to build, buy or blend. - [Rapid prototyping of AI features](https://optimizeall.com/learn/building-ai-products-and-workflows/rapid-prototyping): 11 min - [Prototyping with AI coding tools and app builders](https://optimizeall.com/learn/building-ai-products-and-workflows/prototyping-with-ai-coding-tools): 13 min - [Build vs buy (and blend)](https://optimizeall.com/learn/building-ai-products-and-workflows/build-vs-buy): 12 min ### Architecture, models and orchestration Choose models and design an architecture that can change, orchestrate multi-step AI workflows reliably, and integrate AI into the systems you already run. - [Choosing models and an architecture that can change](https://optimizeall.com/learn/building-ai-products-and-workflows/choosing-models-and-architecture): 14 min - [Workflow orchestration patterns for AI features](https://optimizeall.com/learn/building-ai-products-and-workflows/workflow-orchestration-patterns): 14 min - [Integrating AI into existing systems](https://optimizeall.com/learn/building-ai-products-and-workflows/integrating-ai-into-existing-systems): 14 min ### Data, privacy and security architecture Design how data flows through AI features, protect privacy, and manage security and vendor risk. - [Data and privacy architecture for AI features](https://optimizeall.com/learn/building-ai-products-and-workflows/data-and-privacy-architecture): 12 min - [Security threats and vendor risk for AI features](https://optimizeall.com/learn/building-ai-products-and-workflows/security-and-vendor-risk): 11 min ### Evaluation-driven development and production monitoring Make evaluation the engine of development, and monitor AI features in production for quality, drift and incidents. - [Evaluation-driven development](https://optimizeall.com/learn/building-ai-products-and-workflows/evaluation-driven-development): 12 min - [Monitoring AI features in production](https://optimizeall.com/learn/building-ai-products-and-workflows/monitoring-in-production): 11 min ### Unit economics and UX patterns for AI features Model and control the costs of AI features, and design experiences that build calibrated trust, including features where AI acts for users. - [Unit economics of AI features](https://optimizeall.com/learn/building-ai-products-and-workflows/unit-economics): 11 min - [UX patterns for AI features](https://optimizeall.com/learn/building-ai-products-and-workflows/ux-patterns-for-ai-features): 12 min - [Designing agentic product features users can trust](https://optimizeall.com/learn/building-ai-products-and-workflows/designing-agentic-product-features): 13 min ### Governance, adoption and scaling Govern AI features proportionately, turn 2026 regulation into product requirements, drive adoption and scale from pilots to a portfolio. - [Operational AI governance for product teams](https://optimizeall.com/learn/building-ai-products-and-workflows/operational-governance): 12 min - [AI regulation for product teams (2026 update)](https://optimizeall.com/learn/building-ai-products-and-workflows/ai-regulation-for-product-teams): 14 min - [Driving adoption and scaling from pilot to portfolio](https://optimizeall.com/learn/building-ai-products-and-workflows/adoption-and-scaling): 11 min ## Certificate: Certified AI Product Builder The holder can take AI features from idea to dependable production use: discovering and scoping use cases, prototyping with evidence, choosing models and orchestration patterns, integrating AI with existing systems, designing privacy-aware and secure architectures, running evaluation-driven development and monitoring, managing unit economics and trustworthy UX, and meeting current regulation with proportionate governance. - **Final assessment:** 30 questions, 45 minutes - **Passing score:** 80%