
Understand how conversational AI uses NLP, ML, and LLM to understand, respond, and learn from human language through chatbots, virtual assistants, and AI co-pilots.
Explore generative AI, including large language models, diffusion and multi-model systems, that create text, images, and code from prompts, with applications across software, marketing, healthcare, automation, and AI agents.
Understand large long-wave models, or llms, the brains of modern ai, powering natural language tasks and intelligent automation in Copilot Studio and Azure services.
Explore retrieval augmented generation (RAG) and how anchoring LLMs to a reliable knowledge base reduces hallucinations, enables real-time data, and supports transparent, scalable AI governance.
Explore AI agents powering agentic automation that perceive, reason, and act to achieve goals, collaborating across specialized agents and orchestrators to automate tasks autonomously.
Explore Microsoft AI agent tools, including Copilot Studio, Foundry, and Agent Framework, to build, govern, and scale multi-agent solutions with drag-and-drop workflows, governance, and retrieval-augmented generation.
Invite learners to leave feedback and reviews to improve course quality, update content with the latest industry trends and best practices, and address questions in the Q&A.
Microsoft Copilot Studio is a graphical, low-code platform to create and manage autonomous AI-powered agents and agent flows, connect to business data via WorkIQ, and automate across 1,400+ apps.
Explore the four-layer architecture of Copilot Studio interaction channels, orchestration, data layer with RAG and Dataverse, and integration with Power Automate and AI services for enterprise automation.
Sign up for Microsoft Copilot Studio using a work or school account and access a Power Platform environment. Start a 30-day free trial to build, test, and publish AI agents.
Explore Microsoft Copilot Studio's low-code command center to build, manage, and deploy AI agents that connect to data, workflows, and apps in five core areas.
Explore how Microsoft Copilot Studio uses OpenAI and Anthropic agent models to power conversation, reasoning, and automation, including GPT-4.1, GPT-5 variants, Cloud Sonnet, and Opus models.
This hands-on lecture guides you to build a banking email service agent in Copilot Studio using a prompt, including selecting templates, adding knowledge sources, and testing responses.
Add knowledge to the Copilot agent by uploading documents or linking data sources such as public websites, SharePoint, OneDrive, and Dataverse, leveraging retrieval augmented generation for precise answers.
Explore how system topics in Copilot Studio provide built-in, pre-defined skeletons for universal behaviors, enabling customizable logic and safe handling of startup, errors, and end of conversation.
Learn to create custom topics in Microsoft Copilot Studio, including trigger phrases, nodes, and variables, using blank, description, or existing-topic methods, and test the topic in an agent.
Explore branching a topic in Copilot Studio by building if-then logic with conditions, using Power Fx, multi-branching, and multi-choice questions to route conversations.
Explore how Microsoft Copilot Studio uses system fallback to handle unknown intents and guide users toward supported options. Test and adjust fallback messages and redirection to improve user experience.
Escalate topic is a system topic in copilot studio that transfers a user to a human agent when the bot cannot resolve the request, triggered by repeated fallbacks.
Explore entities in Copilot Studio, including prebuilt system entities and custom entities, and learn to extract and store data like age, dates, money, and phone numbers for dynamic conversations.
Learn how Copilot Studio stores user input in variables, defines variable scope from topic to environment, and applies data types like string, number, boolean, and choice to build conditional conversations.
Explore how topic variables return values to the original topic, using a customer verification flow to pass a boolean is verified from verification to transfer money.
Explore how global variables in Microsoft Copilot Studio store data across topics, reuse customer ID in transfer money and customer verification, and reduce repetition compared to topic variables.
#AB-620 #Microsoft
Are you preparing for Exam AB-620: Designing and Building Integrated AI Solutions in Copilot Studio and looking for scenario-based practice that builds real exam confidence?
This course is designed for developers, Power Platform professionals, automation engineers, solution architects, and AI enthusiasts who want to build enterprise-grade AI agents and intelligent automation solutions using Microsoft technologies.
You will learn how to design, configure, integrate, extend, test, and manage AI agents in Microsoft Copilot Studio while integrating Power Automate, APIs, Dataverse, Microsoft 365, Azure AI, and enterprise systems.
The course follows the latest Microsoft AB-620 exam objectives including:
Planning and configuring agent solutions
Building AI agents in Copilot Studio
Power Automate integrations
Enterprise connectors
Multi-agent orchestration
MCP and A2A concepts
Generative AI and RAG
Adaptive Cards
Custom connectors
REST APIs
Agent evaluation
ALM and deployment pipelines
The exam focuses heavily on enterprise AI integrations, multi-agent solutions, APIs, Power Automate orchestration, and AI governance.
Throughout this course, you will work on real-world enterprise AI projects including intelligent customer support agents, AI-powered approval workflows, HR automation systems, knowledge management assistants, ticketing solutions, and multi-agent orchestration scenarios. These hands-on implementations will help you understand how organizations are adopting AI agents to automate business processes and improve productivity.
In addition to certification preparation, this course is designed to help you gain practical industry-ready skills. You will learn how to integrate AI agents with enterprise applications, create intelligent workflows using Power Automate, connect external systems using APIs and custom connectors, and build scalable AI solutions using Microsoft Copilot Studio.
The course also covers important enterprise topics such as:
Responsible AI
Security and governance
Error handling and retry logic
Monitoring and analytics
Environment management
Solution deployment strategies
AI response optimization
Human-in-the-loop workflows
Special attention is given to emerging Microsoft AI technologies including Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, AI orchestration patterns, and enterprise AI architecture concepts that are becoming increasingly important in modern automation solutions.
By the end of this course, you will be able to confidently:
Design enterprise AI agent solutions
Build intelligent copilots using Microsoft Copilot Studio
Integrate Power Automate workflows with AI agents
Implement RAG-based enterprise knowledge systems
Work with APIs, Adaptive Cards, Dataverse, and Microsoft 365 integrations
Build scalable multi-agent solutions
Prepare effectively for the Microsoft AB-620 certification exam
Whether your goal is to pass the AB-620 certification, become an AI Automation Engineer, transition into enterprise AI development, or build modern intelligent automation solutions, this course provides both the theoretical foundation and practical experience needed to succeed in the rapidly growing world of AI-powered enterprise automation.