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Unclaimed ProfileUnlock the power of conversational artificial intelligence with this comprehensive guide to Microsoft Copilot Studio, led by industry expert Kuljot Singh Bakshi. This course is meticulously designed for IT professionals, system architects, and aspiring AI developers who want to master the creation of production-ready AI agents. Throughout the training, you will transition from foundational concepts to advanced deployment strategies, exploring how to build, test, and scale intelligent agents that solve real-world business challenges. The curriculum places a strong emphasis on Retrieval-Augmented Generation (RAG), teaching you how to seamlessly connect your agents with Microsoft 365, SharePoint, and diverse external data repositories. Security and compliance remain central to enterprise AI; therefore, this course covers robust security architectures using Microsoft Entra ID, strict Role-Based Access Control (RBAC), and Purview data governance. You will also dive into cutting-edge paradigms like Model Context Protocol (MCP) and agent-to-agent (A2A) workflows, enabling integration across Microsoft 365 and Azure AI Studio. With hands-on labs and practical scenarios, this course equips you with the end-to-end expertise required to design secure, highly capable, and fully integrated AI conversational systems for modern organizations.
About the creator
Kuljot Singh Bakshi
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Kuljot Singh Bakshi is a seasoned technology educator and solutions architect specializing in enterprise artificial intelligence, cloud infrastructure, and security. With a passion for demystifying complex technical ecosystems, Kuljot focuses on enabling developers, IT professionals, and system administrators to build resilient, AI-driven applications. His teaching philosophy centers on highly practical, hands-on learning, ensuring that students do not just understand theoretical AI models but can deploy them securely in real-world business scenarios. Through his in-depth training on Microsoft Copilot Studio, Kuljot guides learners through the intricacies of building autonomous AI agents, implementing advanced Retrieval-Augmented Generation (RAG) architectures, and understanding the Model…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Build and deploy AI agents using Microsoft Copilot Studio for real-world business use cases
- Implement Retrieval-Augmented Generation (RAG) with Microsoft 365, SharePoint, and external data sources
- Design secure enterprise AI solutions using Entra ID, RBAC, and Microsoft Purview governance controls
- Integrate Model Context Protocol (MCP), A2A and external tools to extend Copilot capabilities
- Architect scalable AI solutions combining Copilot Studio, Azure AI Studio, and Microsoft 365
Best For
- IT professionals and cloud architects aiming to deploy AI agents within the Microsoft 365 ecosystem.
- Developers looking to bridge enterprise data silos using Retrieval-Augmented Generation (RAG) and Copilot Studio.
- Security engineers responsible for governing and securing AI conversational systems in regulated environments.
- Technical leads tasked with integrating AI agents through Model Context Protocol (MCP) and Azure AI workflows.
Not For
- Absolute beginners who have no prior exposure to cloud concepts or basic platform administration.
- Data scientists focused exclusively on building custom Large Language Models from scratch rather than using pre-built agentic platforms.
- Individuals looking for no-code tutorials that do not touch upon security, compliance, or enterprise-grade integration architecture.
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