GenAI for Azure: AI-Powered Cloud Optimization Strategies

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GenAI for Azure: AI-Powered Cloud Optimization Strategies

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Empfohlene Erfahrung

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Flexibler Zeitplan

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Was Sie lernen werden

GenAI for Azure: AI-Powered Cloud Optimization Strategies
s.
Implement GenAI models with Azure OpenAI for cloud optimization.
Implement GenAI-powered strategies for monitoring, scaling, and cost management.
Utilize Azure OpenAI within workflows and apply optimizations.

Kompetenzen, die Sie erwerben

Kategorie: Microsoft Azure
Kategorie: Anomaly Detection
Kategorie: DevOps
Kategorie: Data Ethics
Kategorie: Microsoft Copilot
Kategorie: Business Process Automation
Kategorie: Automation
Kategorie: Cloud Deployment
Kategorie: Generative AI
Kategorie: Responsible AI
Kategorie: Cloud Security
Kategorie: Scalability
Kategorie: Cloud Management
Kategorie: Artificial Intelligence
Kategorie: Cloud Computing Architecture
Kategorie: Azure DevOps
Kategorie: OpenAI
Kategorie: AI Workflows

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In diesem Kurs gibt es 1 Modul

In this course, you will explore how Generative AI is revolutionizing cloud management by automating workflows, optimizing resource allocation, and enhancing overall efficiency. Whether you’re a Cloud Solutions Architect, DevOps Professional, or AI Enthusiast, this course will provide hands-on experience with Azure OpenAI, Microsoft Copilot, and other Azure services to streamline operations and reduce costs. Through real-world case studies, practical exercises, and expert insights, you’ll gain the skills needed to design, deploy, and manage AI-driven cloud solutions effectively.

This course is designed for Cloud Solutions Architects looking to optimize cloud resources with AI-driven strategies, as well as Data Engineers eager to apply Azure OpenAI for log analysis and anomaly detection. DevOps Professionals will benefit from learning how to integrate real-time AI-powered recommendations into their workflows, while AI Enthusiasts and Product Managers can explore Generative AI solutions within Azure to enhance automation and innovation. Whether you're aiming to improve cloud efficiency, streamline operations, or harness AI for real-time insights, this course will equip you with the skills to transform your cloud management approach. To get the most out of this course, a basic understanding of cloud computing concepts and familiarity with Azure services will be helpful. While prior experience with Generative AI is not required, having some knowledge of scripting languages like Python will make it easier to follow along with hands-on exercises. Whether you're a cloud architect, data engineer, or AI enthusiast, a curiosity for AI-powered cloud optimization and a willingness to experiment with Azure OpenAI and Microsoft Copilot will set you up for success! By the end of this course, you will have gained the knowledge and practical skills to leverage Generative AI in Azure for cloud optimization, automation, and real-time efficiency improvements. From deploying AI models with Azure OpenAI to utilizing Microsoft Copilot for smart recommendations, you are now equipped to transform your cloud operations with AI-driven strategies. But this is just the beginning—continue exploring, experimenting, and refining your skills to stay ahead in the rapidly evolving AI landscape.

In this course, you’ll explore the principles, strategies, and real-world applications of Generative AI in cloud management. Through hands-on experience with tools like Azure OpenAI, Microsoft Copilot, and other Azure services, you’ll learn to automate workflows, optimize resource allocation, and streamline operations. You’ll also evaluate cost-reduction opportunities and ethical considerations, ensuring secure and efficient AI integration in cloud environments.

Das ist alles enthalten

13 Videos7 Lektüren1 Aufgabe1 peer review

13 VideosInsgesamt 72 Minuten

Introduction and Welcome2 Minuten
Understanding GenAI and Why Azure?3 Minuten
Exploring Azure OpenAI Services 5 Minuten
Understanding Model Selection and Use Cases7 Minuten
Configuring Azure OpenAI for Code Usage 7 Minuten
Integrating Azure OpenAI into the DevOps Workflow 12 Minuten
Utilizing Azure OpenAI’s GenAI for Log Analysis 5 Minuten
Optimizing Resources and Managing Costs for AI Workloads 5 Minuten
Finding Optimization Opportunities with Microsoft Copilot in Azure (Preview) 5 Minuten
Implementing GenAI Optimization Opportunities for AI Workloads in Azure 4 Minuten
Measuring Impact Before and After AI Optimization 5 Minuten
Ensuring Long-Term Success with GenAI 5 Minuten
Congratulations and Continuous Learning Journey1 Minute

7 LektürenInsgesamt 50 Minuten

Welcome to the Course: Course Overview5 Minuten
Introducing to Responsible AI on Azure5 Minuten
Hands On Learning (HOL): Creating Your First Prompt Towards a Model with Azure OpenAI 10 Minuten
Hands On Learning (HOL): Integrating Azure OpenAI into a Simple Azure Pipeline 10 Minuten
Exploring Logging Architectures in Working with Azure OpenAI 5 Minuten
Hands On Learning (HOL): Exploring Copilot Recommendations for Resource Optimization10 Minuten
Azure OpenAI Governance Recommendations 5 Minuten

1 AufgabeInsgesamt 20 Minuten

GenAI for Azure: AI-Powered Cloud Optimization Strategies20 Minuten

1 peer reviewInsgesamt 60 Minuten

Project: Azure GenAI Optimization Blueprint60 Minuten

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