Building AI Agents With Microsoft Copilot Studio , Microsoft Foundry & Microsoft Agent Framework
β±οΈ Length: 1.8 total hours
π₯ 26 students
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- Course Overview
- Understanding the strategic evolution from basic Large Language Model interactions to fully autonomous AI Agents that can execute multi-step business processes without constant human intervention.
- A comprehensive deep dive into the Microsoft AI ecosystem, specifically focusing on how Copilot Studio acts as the orchestration layer for modern enterprise productivity.
- Exploring the fundamental differences between Generative Pre-trained Transformers and specialized AI Agents, highlighting why agency is the next frontier in the Microsoft Cloud environment.
- Analyzing the transition from Azure AI Studio to Azure AI Foundry, understanding the unified platform approach for building, testing, and deploying custom AI solutions at scale.
- Examining the architectural role of the Microsoft Agent Framework in providing the necessary guardrails and communication protocols for interconnected digital assistants.
- Investigating how Low-Code and Pro-Code development environments converge within Microsoft Foundry to empower both citizen developers and professional software engineers.
- Discovering the methodology behind Agentic Workflows, where agents utilize tools, search engines, and internal databases to solve complex, unstructured queries autonomously.
- Learning how to map out User Intent and connect it to automated actions using the robust logic engines found within the Microsoft Agent infrastructure.
- Reviewing real-world case studies of Autonomous Agents being used for customer service, supply chain optimization, and internal HR automation using Microsoft Copilot.
- Understanding the security and compliance frameworks integrated into Azure Foundry, ensuring that AI Agents operate within the strict data residency requirements of modern enterprises.
- Requirements / Prerequisites
- A fundamental understanding of Cloud Computing concepts, specifically within the context of Microsoft Azure and the M365 suite of applications.
- Familiarity with the concept of Generative AI and basic experience interacting with chat-based interfaces like ChatGPT or Microsoft Copilot.
- Access to a Microsoft Developer Sandbox or a corporate Azure environment with permissions to provision AI Foundry resources.
- Basic knowledge of Logic Flows or Power Automate structures will be highly beneficial for understanding how Copilot Studio triggers specific actions.
- An introductory understanding of API connectivity, including how RESTful services allow AI Agents to fetch and push data to external software systems.
- A willingness to experiment with Prompt Engineering techniques to refine how agents interpret instructions and deliver high-quality outputs.
- A valid Microsoft Account or Azure Subscription to participate in the hands-on configuration of AI Agents during the practical portions of the course.
- Skills Covered / Tools Used
- Mastering Microsoft Copilot Studio to design sophisticated conversational interfaces that leverage custom plugins and advanced Natural Language Processing.
- Navigating the Azure AI Foundry interface to manage Model Catalogs, deploy LLM endpoints, and evaluate model performance for specific use cases.
- Utilizing the Microsoft Agent Framework to create structured interactions between multiple agents, enabling Multi-Agent Systems to work together on complex tasks.
- Implementing Retrieval-Augmented Generation (RAG) within your agents to ensure they provide accurate answers based on your private enterprise data.
- Configuring Custom Connectors to bridge the gap between AI Agents and legacy data sources, ensuring your assistants have access to real-time information.
- Applying Orchestration Logic to guide the AI Agent through a series of decision-making steps, ensuring consistency and reliability in every user interaction.
- Developing Topic Management strategies within Copilot Studio to handle diverse user queries and maintain the context of ongoing conversations.
- Leveraging Prompt Flow in Azure Foundry to visualize and debug the execution path of your agentic logic, from the initial input to the final response.
- Setting up Governance and Monitoring protocols to track the usage, cost, and safety of your AI Agents across the entire organization.
- Optimizing Knowledge Bases by uploading document libraries that allow the AI Agent to act as a subject matter expert for internal company policies.
- Testing Human-in-the-Loop configurations where the AI Agent can seamlessly hand off complex issues to a human representative when necessary.
- Benefits / Outcomes
- Gain the ability to build Enterprise-Grade AI Agents that significantly reduce the manual workload for repetitive administrative and technical tasks.
- Develop a competitive edge in the job market by mastering the latest Microsoft AI Tools that are currently in high demand across the Fortune 500.
- Achieve a deep understanding of how to integrate Generative AI into existing business workflows without compromising on security or data privacy.
- Create a scalable Digital Workforce that can provide 24/7 support and data analysis, improving overall organizational efficiency and responsiveness.
- Learn how to significantly shorten the Development Lifecycle of AI projects by using the pre-built templates and frameworks available in Microsoft Foundry.
- Unlock the power of Agentic Intelligence, allowing your applications to not just suggest answers, but to actively complete work on behalf of the user.
- Establish a clear roadmap for AI Adoption within your team, from the initial proof-of-concept to a full-scale deployment in a production environment.
- Master the art of Cost Optimization in Azure, ensuring your AI Agents are using the most efficient models and resources available for their specific tasks.
- Produce Smarter User Experiences that feel personalized, context-aware, and highly capable, moving beyond the limitations of standard rule-based bots.
- PROS
- Time-Efficient Learning: This course distills complex Microsoft AI topics into a manageable 1.8-hour format, making it perfect for busy professionals.
- Cutting-Edge Stack: Focuses on the very latest releases, including Azure Foundry and the new Agent Framework, ensuring your skills remain current.
- Practical Orientation: Prioritizes the “how-to” of building and deploying agents over abstract theoretical concepts, leading to immediate applicability.
- Ecosystem Synergy: Demonstrates how to leverage existing Microsoft 365 investments to maximize the value of AI Agent deployments.
- CONS
- Pace and Depth: Given the concise 1.8-hour duration, the course may move too quickly for absolute beginners and might lack the granular code-level depth required by senior developers seeking extreme customization.
Learning Tracks: English,Development,No-Code Development
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