Whizlabs
1 week to complete at 10 hours a week
This course provides a comprehensive foundation in Azure OpenAI Service, Microsoft Copilot, Copilot Studio, Microsoft Foundry, and enterprise-grade Generative AI capabilities within the Azure ecosystem. It covers core Generative AI concepts, Azure cloud engineering scenarios, and Responsible AI practices.
Basic Azure knowledge, cloud fundamentals, and familiarity with AI/ML concepts, REST APIs, and scripting (Python or PowerShell).
The course is divided into 4 modules: Module 1: Generative AI Overview Understand the fundamentals of Generative AI, including its core concepts, architecture components, features, and enterprise use cases. Learn how Generative AI solutions work and explore Responsible AI principles. Module 2: Azure OpenAI Service and Applications Explore Azure OpenAI Service and learn how to build natural language, code generation, and image generation solutions. Understand prompt engineering, REST APIs, multimodal models, fine-tuning, and how Azure OpenAI powers enterprise AI solutions. Module 3: Microsoft Copilot and Copilot Studio Overview Learn how Microsoft Copilot enhances productivity across business applications and how Copilot Studio enables the creation of intelligent conversational agents. Explore Copilot use cases, demos, and how Generative AI integrates with Microsoft Power Platform and enterprise workflows. Module 4: Microsoft Copilot, Security Copilot, and Microsoft Foundry Services Understand Microsoft 365 Copilot, Security Copilot, and Microsoft Foundry capabilities. Learn how Retrieval Augmented Generation (RAG), model catalog, and fine-tuning help engineers build optimized, scalable, and enterprise-grade Generative AI applications in Azure.
Whizlabs is a pioneer among online training providers, offering certification training in various disciplines such as Cloud Computing, DevOps, Cyber Security, and more since the year 2000. They are dedicated to helping learners transform their careers in the IT industry by providing high-quality video courses, practice tests, hands-on labs, and sandbox environments.
By completing this course, you will be able to understand core Generative AI concepts, use Azure OpenAI Service to build text, code, and image generation solutions, integrate Generative AI capabilities into Azure cloud applications and workflows, implement Retrieval Augmented Generation (RAG) and model optimization techniques, and apply Responsible AI principles in your Azure Generative AI deployments. This will help you design, deploy, and manage enterprise-grade Generative AI solutions in the Azure cloud.
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