Getting Started with Azure Open AI: A Comprehensive Guide
Kevin Evans
Customer Architecture & Platform Engineering @Microsoft | Founder @Code To Cloud | CNCF Ambassador
Introduction:
Azure Open AI is an amazing service that brings together the best of Microsoft Azure and OpenAI to help developers like you build intelligent applications using advanced AI models. Whether you're looking to make your existing apps smarter with natural language processing, create lifelike text, or develop interactive conversational agents, Azure Open AI has all the tools and infrastructure you need to turn your ideas into reality. In this blog, we'll guide you through the process of getting started with Azure Open AI, and we'll also share some valuable training materials to help you learn and progress faster on your AI journey.
Registering for Azure Open AI: Get ready for launch!
To begin, you need an Azure account to access the Azure Open AI service. If you don't have an account, you can sign up for a free trial at https://azure.microsoft.com/free/.
Once you have an Azure account, follow these steps to register for Azure Open AI:
Visit the Azure Open AI application page: https://aka.ms/oaiapply
Follow the instructions provided to complete the registration process.
Training Materials from Microsoft Learn:
Microsoft Learn offers comprehensive and interactive tutorials to help you learn and master Azure Open AI. Here are some recommended learning paths and modules:
Certifications:
Azure Open AI Fundamentals: This learning path introduces the basics of Azure Open AI and covers topics such as language understanding, text generation, and chatbots.
Building Applications with Azure Open AI: This learning path guides you through building practical applications using Azure Open AI. You'll learn how to integrate language models, generate text, and create conversational agents.
How to Deploy Azure Open AI service:
Once your subscription has been approved via the application process, you need to head over to your Azure portal and deploy Azure Open AI instance! (Terraform and Bicep modules are available)
Head over to MS docs site for more information on deploying Azure OpenAI.
领英推荐
Once deployed, get started with using Azure OpenAI studio and playground!
The Azure OpenAI playground are great place to start experimenting with prompt generation and text summarization in a safe sandbox environment.
Head over to the MS docs page for more information on Azure cognitive services including Azure OpenAI playground here.
Azure Open AI Online Video’s:
Microsoft Mechanics:
Microsoft Mechanics is a YouTube channel that provides in-depth technical content and demonstrations. Here are some informative videos related to Azure Open AI:
Microsoft Build Event 2023:
In this video from MS Build 23 watch our very own Dom Divakaruni kick off with getting started with generative AI using Azure Open AI Service:
Build applications with OpenAI's powerful language models on Azure: This MS learn video showcases the capabilities of Azure Open AI and demonstrates how to use language models effectively.
Azure Open AI GitHub Repository:
The Azure Open AI GitHub repository is a valuable resource for accessing code samples, SDKs, and other useful tools. Visit the repository at GitHub Azure Open AI to explore the available resources. You'll find sample applications, tutorials, and community-contributed projects that can help you accelerate your development process.
Conclusion:
With Azure Open AI, you have the power to harness the capabilities of advanced AI models and create intelligent applications that interact with users in a natural and engaging manner. By following the steps outlined in this blog, registering for Azure Open AI, and exploring the recommended training materials and resources from Microsoft Learn, Microsoft Mechanics, and the Azure Open AI GitHub repository, you'll be well on your way to mastering this exciting technology. Start exploring today and unlock the potential of Azure Open AI in your applications.
Remember, Azure Open AI offers an array of services and features, so don't hesitate to dive deeper into specific areas of interest as you progress in your learning journey. Enjoy your exploration of Azure Open AI and have fun building intelligent Copilot applications!
I'm already loving GitHub Copilot in my daily development routine—it has drastically improved my code hygiene! Now, I'm eagerly anticipating the launch of Security Copilot. It promises to enhance incident response, threat hunting, and security reporting. What excites me the most about these new AI services is how they make complex tasks more accessible, empowering individuals to learn, simplify, and focus on delivering valuable work.
For some one that is neurodiverse, these Copilot services are going help me out enormously!
Thanks for reading!
Kevin Evans
Cloud Solutions Architect
Well done sir.
Founder & CEO ALTA-ICT B.V. | Microsoft-fanaat | Passie voor het realiseren van veilige en effici?nte bedrijfsprocessen met IT
1 年Kevin Evans?? Congrats on your venture into Azure's AI services! ?? It's inspiring to see you using your cybersecurity and infrastructure background in new ways. Your initiative to share your knowledge through a beginner's guide is much appreciated. Looking forward to gaining insights from your blog. Keep pushing the boundaries and exploring new tech frontiers!
MVP | MCT | MS365NEWS.COM | Consultancy | Pre-Sales | Compliance | Governance | Security | Copilot | Microsoft 365
1 年Rene Vlieger
Principal Cloud Solution Architect at Microsoft
1 年Very timely. Decided yesterday to start really digging in and was just starting to look for some material. Thank you!
SVP, Digital Consulting
1 年Well done Kevin Evans?? . Really interested in the private endpoint and the customer managed key architecture for enterprise use cases.