WHAT’S COVERED

  • A complete blueprint for building production-ready AI apps and agents on Azure, from strategic foundations to technical implementation, with the frameworks, platform guidance, and developer tools to accelerate innovation and scale AI across your enterprise.
  • Why agentic AI has evolved from experimental technology to a core strategic asset delivering measurable business impact.
  • Four key AI outcomes every enterprise should target: enhanced employee experiences, transformed customer engagement, reimagined business processes, and accelerated innovation.
  • The evolution from basic AI apps to autonomous agents, including retrieval agents, task-based agents, and multiagent systems that orchestrate complex workflows.
  • What makes an agentic AI system: intent recognition, tool use, agentic identity, reasoning loops, and memory management.
  • How an integrated AI application platform accelerates time to market, enables faster iteration with feedback, and securely integrates AI with enterprise data.
  • Microsoft Foundry as the unified platform to build, deploy, and govern AI agents at scale, with Models, Agent Service, Tools, IQ, and Control Plane.
  • Azure infrastructure essentials: AKS for containerized microservices, Azure Cosmos DB for real-time AI pipelines, Azure SQL and PostgreSQL for AI-optimized data, and GitHub Copilot for AI-powered development.
  • Microsoft’s commitment to trustworthy AI across security, safety, and privacy, with built-in governance, content safety, and compliance tools.
  • Where Veraqor fits in, helping you scale AI successfully with cohesive, secure Azure infrastructure and expert-led co-building through Microsoft Agent Factory.

WHO IT’S FOR

  • Built for leaders and practitioners driving AI from strategy to production.
  • This ebook is for decision-makers and technical leaders who need to move beyond AI pilots and deliver scalable, secure, production-grade AI applications and agents. Whether you’re defining strategy, architecting solutions, or building the systems that power intelligent automation, this guide provides the clarity and technical depth to accelerate your AI roadmap on Azure.
  • CTOs and Engineering VPs Building scalable AI infrastructure, choosing the right Azure services, and ensuring security, governance, and compliance at enterprise scale.
  • AI and Machine Learning Leaders Designing AI strategies, selecting models and frameworks, and operationalizing AI pipelines from experimentation to production deployment.
  • Application Architects and Platform Engineers Architecting containerized microservices on AKS, integrating Microsoft Foundry, and building the data and API layers that power AI apps and agents.
  • DevOps and Site Reliability Engineers Deploying, monitoring, and scaling AI workloads on Azure with CI/CD automation, observability, and infrastructure as code.
  • Product and Innovation Leaders Identifying high-impact AI use cases, prioritizing development, and accelerating time to market with integrated Azure tooling and GitHub Copilot.
  • Data Engineers and Data Platform Leaders Connecting AI apps to real-time, governed, AI-optimized data sources using Azure Cosmos DB, Azure SQL, PostgreSQL, and Azure Databricks.
  • Whether you’re building your first intelligent agent or scaling a portfolio of AI-powered applications, you’ll leave with a clear understanding of Azure’s AI application platform, Microsoft Foundry’s capabilities, and the architectural patterns that enable reliable, secure, and scalable AI innovation.