Microsoft Ignite 2023
Microsoft Ignite Cloud skill’s challenge
Get Started!
Most important benefit
Complete this learning challenge before
15th January 2024 at 4:00 PM UTC
You will be get free Microsoft Azure certification voucher and badge
https://www.microsoft.com/en-US/cloudskillschallenge/ignite/registration/2023?ocid=ignite23_CSC_bbanner_cnl
Complete a challenge for a chance to win a VIP event pass for the next Microsoft Ignite or Microsoft Build!
We’re running a sweepstakes for 5 lucky winners to receive a full event pass for the next Microsoft Ignite or Microsoft Build that includes bonus experiences, exclusive access, meet and greets with Microsoft personalities and the opportunity to be showcased by Microsoft Learn.
All participants will receive a Microsoft Learn Cloud Skills Challenge badge upon completion of their first challenge.
Terms and conditions apply. See official rules for more details.
Champion your advantage
To celebrate the launch of Microsoft Applied Skills, this Cloud Skills Challenge will feature a selection of challenges designed to help you prepare - and pass - your assessment and earn your new credential.
Get the credentials you need to demonstrate proficiency in a specific skillset so you can make a bigger impact on your projects, your organization—and your career.
Challenge details
The challenge ends on January 15, 2024, at 4:00 PM UTC (16:00). Make sure you have completed your challenge before time runs out.
Important reminders
You will receive one (1) entry for each Microsoft Learn Cloud Skills Challenge that you complete. There is a limit of 12 entries per person – one entry per completed challenge. View the list of eligible challenges here.
See the official rules for more details.
If you complete a Microsoft Learn Cloud Skills Challenge, confirmation of your sweepstakes entry will be sent to you via email. Confirmation will be delivered to the email address associated with your Microsoft Learn profile. Confirm or add a contact email here to ensure emails are delivered.
Have questions? Find answers in the challenge FAQs
Microsoft Learn Cloud Skills Challenge
Take one or take them all!
Microsoft Ignite: Microsoft Fabric
Learn about Microsoft Fabric, the analytics platform for the era of AI. Connect, ingest, store, and report on data with Data Factory, notebooks, lakehouses, data warehouses, and Power BI. Whether you are a data analyst, data engineer or analytics engineer, Fabric helps you upskill and advance your career.
Microsoft Ignite: Generative AI with Azure OpenAI
Azure OpenAI Service provides access to powerful large language models such as ChatGPT. Generative AI trains models to generate original content based on natural language input. You should already have familiarity with the Azure portal and experience programming with C# or Python.
Microsoft Ignite: Azure AI Vision
Use Azure AI Vision Studio to create a custom object detection model. Computer vision is an area of artificial intelligence (AI) in which software systems are designed to perceive the world visually, through cameras, images, and video.
Microsoft Ignite: Power Automate and Copilot
Create and Manage Automated Processes by using Power Automate. Explore how to create your first approval flow and how to manage flows you have created. Discover how to create integrations with other data sources and practice creating a flow end-to-end. Lastly, discover the new Copilot capability!
Microsoft Ignite: Azure Infrastructure
Learn how to use monitoring services on Azure to bring operational excellence to your infrastructure. Deploy monitoring for workloads on virtual machines, use built-in tools in Windows Server to monitor performance, monitor Azure Arc-enabled servers, and enable Azure Monitor in hybrid scenarios.
Microsoft Ignite: Optimize Azure with Defender for Cloud
Learn how to incorporate optimization best practices and security into your architecture and workloads, and discover the tools that Azure provides to help you create a secure environment through all the layers of your architecture.
Microsoft Ignite: Azure AI Language
Build a natural language processing solution with Azure AI Language. Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You should already have familiarity with the Azure portal and experience programming with C# or Python.
Microsoft Ignite: Azure AI Document Intelligence
Show off your smarts with Azure AI Document Intelligence Solutions. Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You should already have familiarity with the Azure portal and experience programming with C# or Python.
Microsoft Ignite: Azure Machine Learning
Machine learning operations (MLOps) applies DevOps principles to machine learning projects. Learn about which DevOps principles help in scaling a machine learning project from experimentation to production. Learn about how to connect to data from the Azure Machine Learning workspace. You'll be introduced to datastores and data assets.
Microsoft Ignite: Security with Azure DevOps
Implement security through pipelines with Azure DevOps. Hone hands-on skills like setting up secure access to pipeline resources, validating permissions, and organizing project structures. Master extending pipelines and manage identities across projects, pipelines, and agents.
Microsoft Ignite: Prepare Your Organization for M365 Copilot
AI capabilities like Microsoft 365 Copilot are built with a comprehensive approach to security, compliance, privacy, and identity plus a commitment to responsible AI practices. This challenge helps ensure that Microsoft 365 tenants are setup and configured for AI so that future AI features can be integrated seamlessly.
Microsoft Ignite: Intelligent Apps with Azure Cosmos DB
In this challenge, discover how to use Azure Cosmos DB to build intelligent apps that can take advantage of cloud scalability and high-performance for your data. By the end of this learning path, you will be able to build and deliver intelligent, cloud-native apps and modernize existing apps to add AI capabilities
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