Every potential breakthrough in AI is accompanied by a hidden challenge: A poor data foundation that can squander money, impede judgement, and impede innovation. It is a database designed for the AI era that offers the speed, scalability, and dependability required to fuel the development of intelligent applications in the future. Azure Cosmos DB is essential for developing intelligent products that are faster to market and provide better user experiences, such as ChatGPT from OpenAI.
Using Azure Cosmos DB is essential to developing your AI application
Powering AI-enabled intelligent applications, Azure Cosmos DB provides a number of essential advantages.
Construct applications that are scalable
Distributed computing with great performance over large amounts of vector and NoSQL data can power your apps. Azure provides a range of choices to meet your needs: With serverless functions, start small and just pay for what you need. Alternatively, check out Azure Cosmos DB’s free tier, which is perfect for minimal production workload development, testing, and execution.
AI-ready
By employing a serverless vector database to effectively store and query vectors and data, Azure Cosmos DB streamlines AI applications. It will be able to construct queries by posing inquiries in natural language and support copilot apps with NoSQL data. Adding your data to Microsoft Azure OpenAI models is also made simple by it.
Apps that operate in real time
Azure Cosmos DB provides real-time data that can be ingested and processed at any scale with a latency of less than 10 milliseconds (ms), enabling personalised and intelligent apps and AI models. It is compatible with Python, Node.js, and Java, among other languages and frameworks of your choosing.
Safe and abundantly accessible
Get industry-leading, service-level-agreement-backed 99.999% availability for NoSQL data to ensure compliance; stay compliant with enterprise-ready, multi-layer security across data and apps; and effortlessly recover and restore essential data with customisable choices for continuous backup and point-in-time restore.
Get practical experience while having a shot at major rewards
The Microsoft Developers AI Learning Hackathon lets developers explore artificial intelligence and build cutting-edge solutions using Azure Cosmos DB. Azure’s hackathon welcomes developers of all levels, from beginners to experts.
Begin your adventure of understanding Azure Cosmos DB
You must meet certain conditions to use Azure Cosmos DB to unleash your creativity and compete for prizes in the hackathon. Let’s study the road from AI novice to AI expert.
Azure Cosmos DB for MongoDB
Skills Challenge for Azure Cosmos DB Developer Cloud
Azure have developed two free Azure Cloud Skills Challenges in advance of the event to help you learn the fundamentals of Azure Cosmos DB and Azure OpenAI Service, and finally how to use Azure Cosmos DB for MongoDB to construct an AI copilot.
Azure Cloud Skills Challenges combine an engaging learning experience with a friendly competition between you and peers worldwide. To guarantee a comprehensive learning experience, these immersive, gamified experiences combine tutorials, exams, and practical activities.
The four modules that make up Part I of the Azure Cosmos DB Developer Cloud Skills Challenge can be finished in less than three hours. In this challenge, you will study the fundamentals of creating copilots and natural language solutions, as well as Azure Cosmos DB and Azure OpenAI Service.
In the second part, you will learn how to create an AI copilot using Azure Cosmos DB for MongoDB, a fully managed database that works with MongoDB and connects nicely with the Microsoft Azure environment. You may finish this portion of the challenge in less than four hours.
You can access both tasks from now until June 18, 2024, and upon finishing them, you’ll receive a badge that needs to be turned in in order to participate in the hackathon.
Developer guidelines for Azure OpenAI on GitHub
You are well-versed in GitHub’s functions as a social network, version control system, and platform for group software development. This main hub for development projects serves as both your next stop on the path to participating in the Microsoft Developers AI Learning Hackathon and a collaborative environment where developers can learn from one another.
Once you’ve completed both sections of the Azure Cosmos DB Developer Cloud Skills Challenge, you need to have a firm grasp of the instruments and methods required to begin developing an AI-powered application. However, these two comprehensive GitHub Azure OpenAI developer guides (one for Python and one for Node.js) walk you through every step of creating an intelligent application.
To participate in the hackathon, you need to finish at least one of the free developer guides, depending on your favourite language. It takes roughly four weeks to finish each guide.
Participate in Microsoft Reactor to interact live with developers
On May 1, 2024, at 9:00 AM PDT, the webinar “Learn to Build Your Own AI Apps with Azure Cosmos DB” will start. Phase two will start on May 15, 2024 as well. While not necessary, participation in the hackathon is strongly encouraged!
Benefit from these brand-new Azure Cosmos DB training courses
But there’s still more! In addition, Microsoft Azure just introduced a brand-new self-paced learning programme to complement the GitHub Azure AI developer guides and the Azure Cosmos DB Developer Cloud Skills Challenge. You will learn how to manage a cluster, create your own AI copilot using Azure Cosmos DB for MongoDB and Azure OpenAI, and implement and migrate to vCore-based Azure Cosmos DB for MongoDB in just four lessons, all of which take less than four hours to complete.
Sign up now to get started hacking!
Are you prepared to stretch the bounds of what is feasible? Don’t pass up this fantastic chance to advance your AI knowledge, connect with other developers, and possibly win big! Visit the Microsoft Developers AI Learning Hackathon website to sign up and begin your participation right now.
Concerning Azure Cosmos DB
For the construction of contemporary apps, Azure Cosmos DB is a fully managed, serverless distributed database with automatic and instantaneous scaling, performance and availability guaranteed by SLAs, and support for Apache Cassandra, PostgreSQL, and Azure Cosmos DB for MongoDB.
