Building and Distributing Agentic AI Solutions

Discover and navigate the essential tools and technologies that streamline the product-building journey, enabling you to bring your AI solution to the Azure marketplace faster and with greater impact. This book begins with an overview of the AI and Generative AI landscape, covering the fundamentals of machine learning, data, and cost models. You will then go through market research essentials—validating ideas, analyzing competition, addressing ethical and compliance concerns, and framing pricing strategies. Further,you will delve into the practical steps of designing and building an AI-first product on Azure. Here, you will explore key design considerations such as responsible AI, domain-specific data, multi-modal interfaces, and protecting intellectual property. With hands-on insights into Azure OpenAI, Copilot Studio, and AI Foundry, the book walks through building, packaging, and operationalizing AI services. Finally, it covers the path to market—publishing on the Azure Marketplace, executing a go-to-market strategy, partnering with Microsoft, and scaling for global adoption. What You Will Learn: The latest AI technologies from Microsoft and Open Source partners Foundational concepts when designing agents and Knowledge Sources Cost analysis and pricing strategies for AI products Prototyping and integration with Microsoft Copilot Studio - the UI for AI Deep dive into modern agentic technologies such as MCP, multi-agent collaboration, and orchestration framework patterns Hands-on exercises with code samples and fully working concepts Understanding Azure Marketplace requirements Publishing to Azure Marketplace and Copilot Studio Marketplace Who This Book Is For: Project managers, software engineers, and Independent Software Vendors (ISVs)

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