Microsoft Certified: Power Platform Developer Associate
Get ready for the new Power Platform developer exam: code, integrations, code apps and AI agents.
Official exam domains, practical summaries and quick-reference sheets in one place.
Get ready for the new Power Platform developer exam: code, integrations, code apps and AI agents.
Get ready to administer, secure and govern Microsoft 365 and its AI services: Copilot, agents and Agent 365.
Use Microsoft 365 Copilot and agents to transform business tasks and decisions.
Fundamentals for administering, securing, and governing Microsoft 365 Copilot and agents.
Prepare for AI-103 with bilingual Microsoft Foundry, RAG, agent, and Azure AI practice.
Operationalize machine learning models and generative AI solutions on Azure.
AI fundamentals on Azure: responsible AI, generative models, agents and solutions with Microsoft Foundry.
AI, machine learning and generative AI fundamentals on AWS: concepts, foundation models, Amazon Bedrock, responsible AI and security.
Manage identities, governance, storage, and networking in Azure.
Design Azure infrastructure solutions: identity, governance, data, business continuity and networking.
Cloud and Azure fundamentals: concepts, architecture, services, governance and management.
AWS Cloud fundamentals: concepts, security and compliance, core services, pricing, billing and support.
Designing and deploying generative AI applications on Databricks: RAG, Vector Search, agents with MLflow and Agent Framework, Model Serving, governance and evaluation.
Microsoft Fabric for analytics: security and governance, lifecycle with Git and pipelines, ingestion and transformation in lakehouses and warehouses, SQL, KQL and DAX, and semantic models with Direct Lake.
Data fundamentals on Azure: relational and non-relational data, analytics and Power BI.
Generative AI for business roles: fundamentals, Google Cloud's offerings, techniques to improve model output and adoption strategy.
Using GitHub Copilot in development: features and plans, Copilot CLI, agent mode and MCP, prompt engineering, privacy, content exclusions and responsible AI.
ML and generative AI engineering on AWS: data preparation, models and foundation models, deployment, MLOps, agents, monitoring and security with SageMaker AI and Amazon Bedrock.
Administer security, compliance, and identities across a Microsoft 365 tenant.
Validate your skills analyzing data and building reports with Power BI.
Get ready to design, develop, and extend Power Platform solutions.
Designing secure, resilient, high-performing and cost-optimized architectures on AWS: IAM, VPC, compute, storage, databases and decoupling.
Investigate, hunt for and respond to threats with Microsoft Defender XDR, Microsoft Sentinel and Defender for Cloud.
Implement and manage identity and access in Microsoft Entra ID.
Security, compliance and identity fundamentals at Microsoft: Entra, Defender, Sentinel and Purview.