Generative AI for Beginners
21 Lessons teaching everything you need to know to start building Generative AI applications.
View resource →These are some resources I use when learning and implementing Copilot Studio, from Microsoft guidance and Power CAT to documentation, tools, samples, courses, and practical learning materials.
You don't need to read everything on this page. Start with these resources in order.
21 Lessons teaching everything you need to know to start building Generative AI applications.
1Understand the platform, agent capabilities, orchestration, knowledge, tools, channels, and workflows.
2A 360-degree implementation review covering architecture, integrations, security, governance, ALM, monitoring, analytics, and KPIs.
3Plan environment strategy, data policies, security controls, publishing, and governance for enterprise Copilot Studio.
4End-to-end technical guidance and runnable examples from Microsoft CAT for connected agents, MCP, skills, orchestration, and deployment.
Courses, workshops, learning paths, videos, and hands-on training to help you build your skills.
21 Lessons teaching everything you need to know to start building Generative AI applications.
View resource →A structured introduction to agents, topics, generative AI, testing, publishing, and analytics.
View resource →End-to-end technical guidance and runnable examples from Microsoft CAT for connected agents, MCP, skills, orchestration, and deployment.
View resource →Practical implementation patterns for advanced agent scenarios, integrations, connected agents, and MCP.
View resource →Plan and implement scalable solutions using child agents and connected agents.
View resource →Use agent flows and computer use to automate work across systems and applications.
View resource →Learn the core build, test, publish, and agent management lifecycle.
View resource →10 resources
Use the Cloud Adoption Framework to shape AI strategy, business outcomes, responsible AI, and adoption priorities.
View resource →A 360-degree implementation review covering architecture, integrations, security, governance, ALM, monitoring, analytics, and KPIs.
View resource →Microsoft guidance organized around planning, implementing, adopting, managing, improving, and extending enterprise agents.
View resource →The official product documentation for features, configuration, administration, and implementation.
View resource →A structured introduction to agents, topics, generative AI, testing, publishing, and analytics.
View resource →End-to-end technical guidance and runnable examples from Microsoft CAT for connected agents, MCP, skills, orchestration, and deployment.
View resource →Architecture guidance for designing scalable Copilot Studio solutions and making the right implementation choices.
View resource →Apply reliability, security, operational excellence, performance efficiency, and experience optimization principles.
View resource →Understand the platform, agent capabilities, orchestration, knowledge, tools, channels, and workflows.
View resource →Estimate expected Copilot Credit consumption and model usage before deploying agents at scale.
View resource →5 resources
Practical implementation patterns for advanced agent scenarios, integrations, connected agents, and MCP.
View resource →Official Microsoft samples covering authoring, extensibility, contact center, testing, infrastructure, and UI.
View resource →A Microsoft-curated index of repositories and samples for low-code and pro-code scenarios.
View resource →Plan and implement scalable solutions using child agents and connected agents.
View resource →Use agent flows and computer use to automate work across systems and applications.
View resource →5 resources
Explore functional and load-testing examples in the official Copilot Studio samples repository.
View resource →Use Microsoft implementation guidance to design, measure, govern, and improve production agent solutions.
View resource →Learn the core build, test, publish, and agent management lifecycle.
View resource →Reference testing, analytics, publishing, and operational capabilities in the official documentation.
View resource →Plan realistic load tests for Copilot Studio agents and validate responsiveness, stability, dependencies, and expected scale.
View resource →4 resources
Guidance for environments, solutions, environment variables, managed deployments, CI/CD, source control, and testing.
View resource →Use the implementation guide to review ALM and deployment decisions as part of the overall project architecture.
View resource →Technical patterns and examples that help connect agent development with repeatable deployment practices.
View resource →Broader Power Platform ALM guidance for solutions, pipelines, source control, automation, and enterprise delivery.
View resource →4 resources
Plan environment strategy, data policies, security controls, publishing, and governance for enterprise Copilot Studio.
View resource →Review security, governance, integrations, monitoring, and operational readiness across the implementation.
View resource →Use Power Platform Well-Architected principles to assess security and enterprise design decisions.
View resource →A central collection of Power CAT guidance, tools, Copilot Studio resources, and enterprise implementation material.
View resource →4 resources
Use Microsoft implementation guidance for adoption, production management, measurement, and continuous improvement.
View resource →Use the implementation review framework to assess monitoring, analytics, operational readiness, and success measures.
View resource →Use the official product documentation as a reference for analytics and production agent insights.
View resource →Apply operational excellence practices to deployment, observability, support, automation, and ongoing operations.
View resource →4 resources
Explore Power CAT tools, guidance, Copilot Studio resources, Well-Architected material, and implementation assets.
View resource →Official samples for authoring, testing, infrastructure, UI, extensibility, and enterprise scenarios.
View resource →Microsoft-curated sample agents and repositories spanning low-code and pro-code implementation patterns.
View resource →Hands-on examples for advanced Copilot Studio capabilities and end-to-end technical implementation.
View resource →