
Map attack paths in Entra/Azure AD and on-premise AD using BloodHound. Explore hybrid attack scenarios and learn defensive strategies for securing cloud and endpoint environments.

Learn to implement GPT-4 and ChatGPT 3.5 APIs in your projects. This tutorial covers setup, integration, and deployment using Node.js, Express, and Microsoft Azure Functions.

Learn to deploy PowerShell DSC Resources to Azure VMs using the DSC extension. Automate configuration management for efficient and consistent Azure infrastructure setup.

Explore Flock, an end-to-end platform leveraging MLflow to automate and simplify enterprise-grade machine learning, enhancing data scientist productivity and addressing regulatory challenges in ML adoption.

Explore VMware Horizon's hybrid platform for desktop virtualization, offering operational consistency, cost reduction, and faster deployment across on-premises and Azure environments.

Explore alternatives to Reinforcement Learning for real-world problems, focusing on Contextual Bandits and Imitation Learning. Learn their applications, limitations, and how they differ from full RL.

Explore machine learning fundamentals, algorithms, and applications. Gain insights into supervised and unsupervised learning, and practice with Microsoft Azure experiments.

Discover how Profisee MDM integrates with Microsoft Purview to deliver certified, ready-to-use data from multiple sources, overcoming inconsistencies and duplications for improved data-driven decision-making.

Jumpstart ML projects with Databricks and Azure ML. Learn to build, track, and deploy production-ready pipelines using tools like MLflow, TensorFlow, and PyTorch for efficient, reproducible data science workflows.

Learn to build and manage app portfolios using Docker Enterprise Edition and Microsoft Azure, focusing on security, lifecycle management, and cost-effective deployment across platforms and clouds.

Explore responsible AI implementation on Azure, focusing on leveraging large-scale AI models while adhering to ethical guidelines and best practices.

Discover how a major Nordic retailer migrated to Kubernetes and Linkerd, accelerating feature development and reducing costs while addressing developer concerns and building expertise.

Explore the future of AI integration in Windows and Windows 365, featuring Bing Chat Enterprise, Microsoft 365 Copilot, and AI-powered features for endpoint management and flexible work environments.

Comprehensive guide to Azure AI's features for streamlining AI app development, from prototyping to deployment. Learn to maximize LLM capabilities and harness Generative AI potential with Azure AI Studio.

Discover how NVIDIA and Microsoft Azure collaborate to provide businesses with a comprehensive platform for building and deploying generative AI applications, accelerating the delivery of industrial-grade solutions.

Explore how AI and Kubernetes intersect in modern app development, leveraging Azure's tools for seamless production deployment, AI-assisted scaling, and balancing innovation with security and cost.

Explore the latest innovations in Azure AI services, including OpenAI, Machine Learning, and AI Search. Discover advancements in AI Studio like Text-to-Speech avatars and GPT-4 Visual.

Explore Azure AI Studio to create enterprise chat and custom copilots. Learn to integrate real-time data, test LLMs, and deploy PoCs at scale for innovative generative AI applications.

Explore container networking with Microsoft Azure's CVP, covering SDN principles, cloud transformation, and innovative technologies for scalable, secure, and automated network solutions.

Modernizing traditional apps with Docker EE and Azure: Increase server density, simplify maintenance, and enhance security without impacting performance. Learn from Microsoft IT's successful migration project.

Explore Docker's cross-platform support and Microsoft cloud technologies for enterprise workloads. Learn about container benefits, lifecycle, and Azure integration for efficient app development and deployment.