Introduction:
AI Agents are not just a technological trend – they represent the future of automation and intelligent digital experiences. With the powerful combination of Copilot Studio and Azure AI Studio, you can create flexible virtual assistants that understand context, respond automatically, and handle tasks with precision, speed, and efficiency.
Imagine: with just a few drag-and-drop actions, you can design an AI agent that analyzes text, comprehends documents, interacts in natural language, connects to systems via APIs, and executes business workflows through Power Automate – all within a friendly yet powerful platform from the Microsoft ecosystem. This is no longer a distant vision – now anyone can build AI agents for their business, department, or even personal tasks. From customer support and report generation to data analysis and image recognition – AI can take care of it all for you.
The course “Building AI Agents: Mastering Copilot Studio and Azure AI Studio” at Master Learning Hub Academy will guide you step-by-step in mastering this technology – from foundational knowledge on LLMs and prompt engineering to deploying multimodal AI solutions on the Microsoft platform. No prior programming experience is required, making this course suitable for anyone eager to embrace the AI era.
Course Objectives:
- Grasp foundational AI concepts including LLMs, prompting, and API usage
- Create and manage intelligent AI agents using Copilot Studio and Azure AI Studio
- Apply prompt engineering strategies including few-shot and chain-of-thought techniques
- Integrate external APIs, Power Automate flows, and Dataverse for interactive AI applications
- Develop document and image-based solutions using Azure Vision and AI Hub
- Implement responsible AI practices while delivering real-time, intelligent responses
- Build end-to-end enterprise AI workflows and solutions across modalities
Target Audience:
- The course is designed for everyone, with no technical background or prior programming experience required.
- Office staff, managers, operations specialists, and more – who want to apply Generative AI, chatbots, and process automation to optimize their daily work.
- Professionals working in businesses who aim to build customized AI agents for internal needs – from customer support and consultation to data processing, enhancing overall efficiency.
- Individuals passionate about AI technology, looking to explore and deploy practical AI solutions on the Microsoft platform without complex coding.
Course Duration:
- Duration: 42 hours
Course Materials:
- The training content is based on an exclusive curriculum developed by Master Learning Hub Academy, combined with real-world industry experience.
Certification:
- Certificate of Completion: Issued by Microsoft Global Training Partner to participants who attend at least 80% of the sessions and pass the final assessment.
Course Outline:
Module 1: Fundamentals of AI & Prompt Engineering
• Core concepts of Artificial Intelligence and real-world applications
• Introduction to Large Language Models (LLMs) and AI services
• Prompt engineering essentials (one-shot, few-shot, chain-of-thought)
• Designing and managing prompt flows for multi-step reasoning
Module 2: Introduction to Microsoft Copilot Studio & Azure AI Studio
• Overview of Copilot Studio and Azure AI Studio environments
• Creating, managing, and deploying custom AI agents
• Key features for building and organizing conversational topics
Module 3: Conversation Design & Advanced Dialogue Structures
• Building and organizing conversation topics and flows
• Managing complex dialogue: intents, fallbacks, escalations, custom logic
• Best practices in response management and user experience
Module 4: Building, Testing & Iterating AI Chatbots
• Hands-on: Build a basic AI chatbot in Copilot Studio
• Testing in AI Playground: parameter tuning (temperature, tokens, stops)
• Iterative improvements: conversational flow and prompt refinement
Module 5: Actions, External APIs & Dataverse Integration
• Configuring “Actions” to call external services and APIs
• Integrating real-time data into conversations
• Connecting to Microsoft Dataverse for CRUD operations via natural language
Module 6: Power Platform Toolkit: Power Fx & AI Hub
• Understanding Power Fx and implementing logic in apps/bots
• Using AI Hub in Power Automate for custom document extraction
• Building end-to-end automation flows for document understanding
Module 7: Knowledge-Enabled & Multimodal AI Agents
• Retrieval-augmented generation (RAG) for external knowledge access
• Document intelligence: layout & content recognition pipelines
• Azure Vision Studio: OCR, image classification, object detection
Module 8: Deployment & Integration within Microsoft Ecosystem
• Packaging and publishing AI agents to Microsoft Teams and Copilot
• Integrating with the Power Platform and Azure AI Foundry
• Best practices for deployment, monitoring, and iteration
Module 9: Capstone – Multimodal, Knowledge-Enabled AI Agent
• Design and build a fully featured agent combining text, vision, and data
• Implement Actions, RAG, document pipelines, and Power Platform integrations
• Demonstrate a production-ready solution for a complex business use case
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