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This course contains the use of artificial intelligence.Build the skills to design, secure, scale, monitor, and govern modern enterprise Generative AI systems on Microsoft Azure.This comprehensive course, Enterprise Generative AI Systems on Microsoft Azure, teaches you how to create production-ready Generative AI applications, Retrieval-Augmented Generation systems, enterprise copilots, intelligent assistants, and agentic AI workflows using Microsoft Azure services. Rather than focusing on isolated tools, the course shows you how every component fits together within a complete enterprise architecture.You will begin by exploring the full Azure Generative AI architecture, including users, applications, enterprise data sources, APIs, compute services, orchestration frameworks, foundation models, retrieval systems, security controls, monitoring, and governance. You will trace a request from the user interface through the application layer, enterprise data, Azure AI Search, Azure OpenAI Service, guardrails, and response delivery.A major focus of the course is building accurate and reliable RAG applications on Azure. You will learn how to connect structured, semi-structured, and unstructured data from Azure SQL Database, Azure Cosmos DB, Azure Blob Storage, Azure Data Lake, SharePoint, OneDrive, internal APIs, and on-premises systems. You will design ingestion pipelines with Azure Data Factory, process documents using Azure AI Document Intelligence, compare chunking strategies, generate embeddings, and build vector, keyword, hybrid, and semantic search solutions.The course also covers AI orchestration and autonomous agents. You will explore Microsoft Semantic Kernel, LangChain, and AutoGen while learning how to design planner, executor, and reviewer agents. You will give agents controlled access to enterprise tools, APIs, workflows, memory, and business systems while implementing human approvals, error recovery, timeouts, and protections against uncontrolled agent behavior.Security and governance are integrated throughout the course. You will learn how to protect AI applications against prompt injection, malicious documents, unsafe content, sensitive-data exposure, unauthorized tool execution, and privilege escalation. You will implement controls using Microsoft Entra ID, role-based access control, managed identities, Azure AI Content Safety, Prompt Shields, Azure Policy, private endpoints, encryption, audit trails, and responsible AI review processes.You will also learn how to deploy and operate enterprise AI applications using Azure App Service, Azure Container Apps, Azure Functions, Azure DevOps, GitHub Actions, Azure Monitor, and Application Insights. Topics include observability, token usage, latency, retrieval quality, model monitoring, caching, secrets management, cost optimization, scalability, backup, disaster recovery, compliance, and business continuity.Hands-on labs guide you through designing multichannel assistants, hybrid-search RAG pipelines, secure API gateways, document-processing workflows, AI guardrails, monitoring dashboards, CI/CD pipelines, and cost-management strategies.By the end of the course, you will complete a capstone project that brings everything together: a secure, scalable, reliable, and governed enterprise GenAI platform on Microsoft Azure. This course is ideal for Azure architects, AI engineers, developers, cloud professionals, security specialists, governance teams, consultants, and technology leaders who want practical expertise in building enterprise-grade AI solutions.
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This comprehensive free online course on Udemy covers everything you need to become proficient in enterprise Generative AI systems. Whether you're a beginner or looking to advance your skills, this free Udemy course with certificate provides hands-on training and practical knowledge you can apply immediately.
This free certification course is perfect for anyone looking to break into cloud AI or enhance their existing skills. Here's who will benefit most from this no-cost training opportunity:
Learn from School of AI and Arjun Vaid, experienced professionals in Microsoft Azure and enterprise AI. With years of industry experience and proven teaching methodologies, they've helped thousands of students master cloud technologies through practical, project-based learning.
With an impressive 0 rating and 26 students already enrolled, this Udemy free course has proven its value. The course includes 44 comprehensive lessons, all taught in English. What sets this free online course apart is its comprehensive coverage of end-to-end enterprise AI architecture plus lifetime access. Plus, with mobile access, you can learn anytime, anywhereโperfect for busy professionals. This IT & Software course in the Other IT & Software niche is regularly updated and includes lifetime access, meaning you can revisit materials whenever you need a refresher.
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Here's why this free certification course is an opportunity you can't afford to miss: This training provides practical expertise in building enterprise-grade AI solutions that can accelerate your career in cloud technologies. Learn from industry experts through 44 practical lessons with hands-on projects that mirror real-world AI implementation scenarios. With 26% growth projected in cloud computing roles, this no-cost training positions you for high-demand opportunities.
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This limited-time offer expires on [expires_at]. After this date, the course returns to its regular $84.99 price. We highly recommend enrolling immediately to secure your free access. The coupon has limited redemptions available.
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