As AI technologies continue to rapidly evolve, developers have the exciting opportunity to stay ahead by continually learning and adapting. With countless tools, frameworks, and skilling resources available, developers often find themselves overwhelmed, struggling to identify the best solutions for their specific needs. This is where Microsoft Learn steps in, empowering developers to innovate by providing the knowledge and tools needed to confidently explore and experiment with new solutions.  

To unlock the full potential of AI innovation, developers need access to comprehensive resources and support. Providing clear and concise documentation, tutorials, and code examples is essential for helping developers navigate new tools and techniques. We recently introduced Plans on Microsoft Learn to make it easier for individuals, teams, and organizations to achieve their learning goals with curated content, flexible milestones, and automated reminders to keep you on track. 

Empowering developers with AI innovation 

AI innovation is transforming how organizations develop multimodal apps, services, and customer interactions by providing powerful tools to navigate various model catalogs. Identifying the right AI models is crucial for creating tailored solutions that meet specific needs.  

Leveraging AI-assisted development capabilities at every stage of the development lifecycle—from initial concept and design to deployment and maintenance—enhances efficiency and effectiveness. This holistic approach ensures that AI-driven solutions are not only innovative but also seamlessly integrated into existing workflows, driving significant improvements in performance and user experience. 

That’s why fostering a culture of innovation within organizations is crucial. Encouraging experimentation and providing time and resources for developers to explore new AI tools can lead to groundbreaking advancements. Our Plans on Microsoft Learn add tremendous value by equipping developers with the latest knowledge and hands-on experience, enabling them to stay ahead in the rapidly evolving field of AI. Next, we’ll take a look at our latest and greatest learning opportunities. 

Drive innovation with Azure AI  

Master GenAI Model Selection, Evaluation, and Multimodal Integration with Azure AI Studio: This plan guides you through selecting and applying the best generative AI models using Azure AI. Learn how to benchmark models with built-in tools, taking a data-driven approach to model selection and focusing on performance metrics like accuracy and fluency. You’ll also explore how to implement multimodal models to enhance customer satisfaction and deliver innovative products and evaluate the performance and safety of your solution, making adjustments for continuous improvement. 

Expedite software development cycles with GitHub Copilot 

Accelerate App Development By Using GitHub Copilot: Build all the skills you need to start coding in the cloud with GitHub Copilot. This plan helps you enhance your coding efficiency and accuracy with GitHub Copilot. You’ll learn how to use Copilot to interpret and document code, allowing you to quickly get up to speed with unfamiliar or complex codebases. You’ll also discover how to author new code features more efficiently using Copilot’s autocompletion and chat features. Additionally, you’ll explore how to refactor, debug, and test code using GitHub Copilot, streamlining your code improvements. 

Cultivate intelligent apps on Azure 

Build AI Apps with Azure Services and Best Practices: This plan walks you through the key steps of building intelligent AI applications on Azure. You’ll learn to design and develop a cloud-native AI app, create a reliable back-end database, and integrate Azure AI services into your projects. Gain hands-on experience in deploying cloud-native AI solutions, setting up strong back-end databases, and utilizing Azure AI tools to enhance your applications. 

Discover your AI potential with Azure Essentials 

Elevate Cloud Reliability, Security and Performance on Azure: This Plan teaches you how to improve the resiliency, security, and performance of your cloud architecture and workloads, enabling optimal management of AI and cloud investments. You’ll explore frameworks like FinOps, the Cloud Adoption Framework, and the Well-Architected Framework, along with Azure tools, to enhance workload performance, reliability, and security while optimizing costs. You’ll learn to analyze and improve cloud environments using proven resources like Azure Advisor, Microsoft Cost Management, and AI Studio. Additionally, you’ll master best practices for cloud adoption, deploy Azure landing zones, and design optimized workloads with the Well-Architected Framework. 

Future-proof your career with continuous AI skilling 

Staying ahead in the AI landscape requires continuous learning.  Our Plans on Microsoft Learn offer an invaluable resource for developers and data scientists to upskill and stay informed. From foundational concepts to cutting-edge techniques, explore a variety of AI-focused learning paths to unlock your potential. Start your AI journey today on Microsoft Learn and shape the future of technology. 

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