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Who Is Kuljot Singh Bakshi?
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 Context Protocol (MCP). Recognizing that security is the biggest hurdle in modern enterprise AI adoption, Kuljot places a massive emphasis on AI security, governance, and compliance. By breaking down complex topics into structured, step-by-step builds, he empowers his students to transition from theoretical understanding to building production-ready, secure conversational agents. Whether you are looking to integrate dynamic external data sources with enterprise LLMs or secure your organization's proprietary data from prompt injection attacks, Kuljot's classes provide the blueprint for success. His ultimate goal is to bridge the gap between advanced cloud infrastructure and practical, daily productivity gains.
Kuljot Singh Bakshi's Programs
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Unlock 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.
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FAQ
What is Kuljot's teaching style?
Kuljot uses a hands-on, build-focused teaching style. Instead of lecturing purely on AI theories, he guides you through live configuration steps, showing you exactly how to set up agents, establish RAG pipelines, and configure security boundaries in Microsoft Copilot Studio.
Who are Kuljot's courses designed for?
His courses are designed for IT professionals, developers, systems integrators, and AI engineers who want to deploy secure, production-grade AI agents. They are highly beneficial for teams working within the Microsoft 365 or Azure ecosystems.
How does this training address AI security and compliance?
Security is integrated into every phase of the training. You will learn practical methods to protect sensitive organizational data, manage user permissions, secure Model Context Protocol (MCP) integrations, and prevent data leaks when deploying enterprise RAG systems.
What practical skills will I gain from his Microsoft Copilot Studio course?
You will master building autonomous AI agents from scratch, connecting external data repositories using RAG, leveraging MCP for broader context integration, and implementing robust governance policies to secure your conversational AI pipelines.