
Explore the ai-first shift where intelligent apps use foundation models and cognitive computing to be proactive and context-aware, connected through an api-driven ecosystem built on responsible ai.
Explore the AB410 exam framework and its four domains—designing AI solutions, developing intelligent features, optimizing AI models, and responsible AI and governance—plus exam formats and evaluation strategy.
Discover the power platform intelligent layer, a low-code suite that adds intelligence to business apps with Copilot Studio, AI Builder, Dataverse, and Power Automate intelligent workflows.
Explore how Dataverse acts as a filing cabinet for data storage, organizing data with context by tables, columns, and rows, and linking them via relationships and the Common Data Model.
Secure intelligent apps with security models, roles, business units, AI governance, data masking, and auditing to protect data integrity, privacy, and compliance.
Master agentic workflows by enabling autonomous logic, task decomposition, reflection, and tool use to empower AI to plan, act, and self-correct with human-in-the-loop governance.
Design a global supply chain solution architecture that uses Dataverse as the single source of truth and leverages AI Builder, predictive analytics, and co-pilots for real-time logistics with strong security.
Master advanced Dataverse table design by organizing data into focused tables, using standard and choice columns, and implementing calculated and roll-up logic with file and image data types.
Explore how Dataverse relationships connect tables to preserve data integrity, covering one-to-many and many-to-many structures, cascading rules, and integrity mapping so AI models can traverse the data schema.
Master Dataverse business rules to enforce data quality with client-side and server-side logic, set scope from forms to entities, and validate, activate, and resolve conflicts using the visual designer.
Explore calculated columns in Dataverse, powered by low-code Power Fx formulas, using if logic, text concatenation, and date-time arithmetic to deliver real-time, lean insights in intelligent apps.
Master formulas and calculated columns to deliver real-time insights in Dataverse using Power Fx, conditional logic, and text, date, and performance considerations.
Dataverse Search is an AI-powered, cloud-based global search service that uses Azure Cognitive Search to deliver fast, relevant results across multiple tables, with lemmatization and AI ranking.
Master virtual tables in Dataverse to surface external data without moving it. Learn about data providers, metadata mapping, CRUD, AI relationships, and secure access.
Explore the Contoso warehouse data schema in Dataverse, with tables and relationships. Learn about calculated columns, business rules, real-time inventory value, and relevance views.
Master responsive design in canvas apps by using dynamic sizing with parent width and height properties, layout containers, breakpoints, and responsive image handling (fill vs fit), verified with preview.
Master integrating copilot control for natural language interaction in PowerApps. Bind data from Dataverse, configure fields and views, set prompt suggestions, and test for accuracy and governance.
Explore Power Fx, a low-code, declarative language with spreadsheet-like formulas for intelligent components. Master advanced filtering, switch logic, patch updates, delegation, and variables and collections to build fast, scalable apps.
Discover how AI Builder in Canvas apps gives your app eyes and a brain to read text, recognize sentiment, and detect objects with vision models and confidence scores.
Explore model-driven apps where the data model in dataverse drives a responsive UI, using strategic forms, tabs and sections, and dynamic views with filters and icons.
Build intelligent dashboards in model-driven apps by combining real-time charts, lists, and AI-powered predictions to monitor KPIs and uncover data trends at a glance.
Explore how to customize the app command bar with Power Fx, adding intelligent buttons, OnSelect actions, visibility, navigation, and triggering Power Automate cloud flows and AI for seamless workflows.
Blend canvas-based custom pages with model-driven apps to create converged app experiences. Learn to pass context with parameters, center dialogues and side panes, and infuse AI while preserving UX.
Leverage native device capabilities—GPS, camera, barcode scanning—to build context-aware PowerApps that capture real-world data, work offline, and automate tasks with a one-tap finish.
Define the field service agent user persona Raj, and design a glanceable dashboard and hands-free front-end with voice-to-text, offline data synchronization, local caching, and AR overlays to guide repairs.
Learn how cloud flows automate workflows across apps, using triggers (automated, instant, scheduled), actions with dynamic content, and conditional branching to build intelligent automation.
Explore building flows with Copilot in Power Automate, translating natural language into functional cloud workflows. Learn intent mapping, connector selection, and AI builder actions to create intelligent automation.
Master conditional branching with boolean expressions, switches, and scopes to build multi-path automations. Learn to handle errors with run-after logic, optimize performance, and infuse AI reasoning for fast, resilient workflows.
Master data operations in Power Automate to prep, parse JSON, filter arrays, select fields, join results, and compose expressions for clean, intelligent outputs.
Learn to build modular parent and child flows in Power Automate, using manual triggers, run a child flow action, return outputs, and create AI specialist child flows within a solution.
Learn to build reliable, enterprise-grade flows with run after configurations, error notification branches, and retry policies using exponential back off, scopes, graceful degradation, and error detail capture.
Automate legacy desktop apps with robotic process automation by recording UI elements and mimicking human actions. Leverage AI, implement error handling, and enable cloud-to-desktop orchestration with governance.
Integrate AI Builder models into cloud flows to enable document processing with OCR, sentiment analysis, object detection, confidence scores and human in the loop, and prediction models for forecasting.
Master advanced approvals in Power Automate with dynamic content and AI insights, enabling timeouts, escalation, multi-step and parallel approvals, and audit logs stored in Dataverse.
Build a centralized intelligent approval engine that uses predefined logic and ai models to route from multisource triggers through dynamic routing, with data cleaning and a digital paper trail.
Shift from rigid chatbots to autonomous AI agents that reason, plan, and act with generative AI, grounding, actions, dynamic chaining, and guardrails enabling safe automation in Copilot Studio.
Master topic management by leveraging trigger phrases and entity extraction to train intelligent agents, using pre-built and custom entities, proactive slot filling, and seamless redirects for natural conversations.
Master generative answers that retrieve from defined knowledge sources to answer user queries, with citations, content filters, custom instructions, and a fallback topic for reliability.
Integrate the ai agent with dataverse and power automate into topics to perform real-time lookups and back-end tasks, using input variables, action nodes, and output parameters.
Define and manage variables in Copilot Studio as digital sticky notes with topic and global scope, enabling contextual and external persistence with Dataverse and real-time debugging with the watch window.
Master memory-driven, multi-turn conversations by designing slot filling, proactive extraction, and clarification prompts that maintain context, skip redundant questions, handle interruptions, and confirm closure.
Publish your Copilot Studio agent to multiple channels, including Teams, web, and custom apps, while managing authentication, branding, and a controlled publish lifecycle for a seamless live service.
Master authentication and single sign-on by connecting agents to identity providers and configuring app registrations. Use authentication tokens with scopes to control access and personalize responses securely.
Deploy a multi-language customer service agent with Copilot Studio by configuring primary and secondary languages, enabling automatic detection, topic localization, and multilingual generative answers.
Power Pages provides a secure, low-code platform for external-facing sites on dataverse. The Design Studio combines pages, styling, data, and setup to build data-driven, responsive sites with AI Copilot.
Explore how Copilot, an AI-powered design assistant, enables rapid site generation, theme and layout creation, content drafting, and rapid form generation with human oversight.
Master securing portals by applying authentication and authorization with a gatekeeper approach. Group visitors into web roles and enforce table permissions and access types to deliver personalized, secure data experiences.
Integrate dataverse web forms and subgrids to create data-driven, multi-step forms on your site. Configure form components, relationships, and subgrid actions for a responsive, clean user experience.
Leverage the PowerPages web API to perform CRUD on Dataverse tables with client-side JavaScript, implement security with site settings and CSRF tokens, and build real-time, custom logic-driven interactions.
Embed intelligent agents into PowerPages for real-time conversational support. Drag the co-pilot onto pages, ground the agent on site content, enable authenticated conversations, and monitor analytics.
Master caching strategies and performance optimization by exploring server-side caching, content snippets, cache invalidation, CDNs, image optimization, and performance tools like Lighthouse and PageSpeed Insights.
Build a centralized portal with role-based security and relationship-based permissions, connecting to your dataverse to manage vendor profiles, invoices, procurement, and AI onboarding with a grounded copilot.
Discover how AI Builder adds intelligence to your apps with pre-trained models, and compare pre-built versus custom options, plus licensing and capacity credits.
Train and deploy custom ai models with object detection and form processing, using labeled data, bounding boxes, ocr, and performance score to publish integrated intelligent apps.
Leverage pre-built ai models for sentiment analysis and language detection to quickly add intelligence to apps. Combine models in multi-model workflows to turn language and mood data into actionable insights.
Integrate Azure OpenAI with Power Platform to give your low-code apps a human-like brain using the AI Builder GPT action, with prompt engineering, data grounding, and governance.
Explore how to integrate Azure OpenAI with the Power Platform, using AI Builder and GPT actions to turn apps into smart co-pilots through prompt engineering, data grounding, and governance.
Master prompt engineering for intelligent document processing by defining persona and context, grounding and constraints, few-shot and chain-of-thought prompting, and reusable AI Builder templates.
Explore intelligent document processing (IDP) with OCR, ML, and AI to extract data. Classify documents, apply confidence scoring, use human-in-the-loop, and automate downstream processes.
Explore how environments in Power Platform separate data, apps, and flows into default, sandbox, and production spaces, with security roles guiding who can access and move work through ALM.
Learn how unmanaged and managed solutions differ, how solution layers determine user experience with top-layer precedence, and how to safely remove unmanaged changes to keep production stable.
Master environment variables and connection references to decouple configuration from code, enable smooth transitions across environments, manage default and current values, and drive dynamic Power Automate and Power Apps flows.
Master Power Platform pipelines for automated app delivery across environments. Understand the pipeline host, deployment stages, validation gates, run history, and the in-product deployment experience.
Master automated testing for intelligent flows by mocking data, defining assertions, and integrating CI-CD to safeguard AI-driven apps with reliable test reporting.
Establish a center of excellence to govern and monitor intelligent applications with real-time dashboards. Track key performance indicators and enable proactive alerts, ticketing integration, and compliance auditing.
Learn how data loss prevention policies classify connectors into business, non-business, and blocked to prevent data exposure, enforce AI constraints, and monitor DLP impact across environments.
Define application lifecycle management for global scale, detailing dev, test, and prod environments, managed vs unmanaged packages, environment variables, and automated CICD deployment; protect the live environment and enable rollouts.
Learn to embed Power BI visuals into Power Pages and Power Apps using liquid tags, enabling real-time Dataverse insights, row-level security, AI insights, forecasting, and mobile-optimized dashboards.
Discover how Copilot in Power BI acts as a generative AI assistant, turning natural language prompts into automated reports, narrative insights, and DAX calculations, while ensuring data governance and privacy.
Master real-time analytics in Power Apps by wiring streaming datasets and direct query, embedding Power BI tiles, and enabling automatic page refresh, data alerts, and performance optimization.
Analyze real workflows with Power Automate process mining, using event logs to build a process map, identify bottlenecks and rework, perform root-cause analysis, and automate improvements with Power Automate.
Master per-user, per-app, and capacity-based licensing, with consumption tracking and the admin center, and learn how PowerPages authenticated versus anonymous licensing enables optimized cost.
Practice responsible AI by embedding fairness, transparency, and explainability into applications, while safeguarding privacy, security, and accountability. Ensure inclusiveness and compliance through auditing with standards like GDPR and ISO.
Build and test custom connectors to bridge Power Platform with any REST API using OpenAPI definitions, secure authentication, and seamless Power Automate integration.
Diagnose bottlenecks in complex intelligent architectures by isolating failures across Power Apps, Power Automate, and AI services. Use run history and monitor AI performance with Azure Insights to maintain reliability.
Explore how to build an end-to-end autonomous enterprise by integrating AI agents, automated workflows, and data insights into a digital nervous system.
"This course contains the use of artificial intelligence."
Master the AB-410 Exam: Build Enterprise-Grade Intelligent Applications
Are you ready to design, govern, and deploy intelligent AI solutions? The Microsoft AB-410 certification proves your ability to build next-generation applications—but passing the exam requires more than just knowing where to click. It requires strategic architectural thinking.
The Course Methodology This course is purpose-built with a high-impact, conceptual-first methodology. The AB-410: Build Intelligent Applications exam specifically demands a mastery of deep architectural logic and governance workflows. This curriculum is strategically engineered to focus on these complex frameworks because they represent the "make-or-break" concepts on the actual exam. By prioritizing these core principles, the course ensures that students can navigate the exam's complexities with technical accuracy and achieve a first-attempt pass without getting lost in basic interface tutorials. The ultimate goal is to provide the most efficient path to certification by focusing on the high-level strategic knowledge that Microsoft evaluates.
What You Will Master in this Course:
Intelligent App Architecture: Design scalable AI solutions using Microsoft Copilot Studio and the Power Platform ecosystem.
Enterprise AI Governance: Implement robust security, compliance, and data governance for generative AI workflows to meet strict enterprise standards.
Agentic AI & Logic: Build, deploy, and govern autonomous AI agents that solve complex business problems.
Integration & Orchestration: Connect intelligent applications seamlessly within existing enterprise environments using advanced API and logic frameworks.
Why Choose This Training? Udemy search algorithms and professional learners both prioritize clarity and relevance. Unlike generic, entry-level tutorials, this training is designed for professionals. We use real-world workplace scenarios, simple English, and clear analogies to break down complex Microsoft AB-410 topics. You will not waste time on basic UI navigation; instead, you will gain the deep conceptual understanding required to pass the exam and lead AI projects in the real world.
Who This Course is For:
IT Professionals, Project Managers, and Solution Architects preparing for the Microsoft AB-410: Build Intelligent Applications exam.
Developers and Data Engineers transitioning into AI strategy, agentic AI, and governance roles.
Professionals who want to bypass basic tutorials and focus exclusively on high-level, exam-passing strategy.
Enroll today and take the most efficient, concept-driven path to your AB-410 certification!