
Master the techniques for fine-tuning Azure OpenAI models through hands-on guidance, best practices, and optimization strategies to enhance AI performance for custom applications and specific use cases.

Discover how AT&T built and implemented a large-scale RAG knowledge management platform using Azure AI Search, enabling hundreds of GenAI applications with quality measurement and diverse use cases.

Discover how to implement real-time AI translation capabilities across text, speech, and images in your applications, with deployment options for both cloud and edge devices.

Master advanced RAG fundamentals and build data-grounded AI applications using LlamaIndex and Azure AI Search. Learn retrieval strategies and practical implementation techniques.

Discover Azure AI's latest real-time speech and video translation capabilities, custom avatars, and voices that help enterprises break language barriers and enhance global communication.

Discover how OpenAI's o1 models on Azure revolutionize complex problem-solving with advanced capabilities in algorithm generation, scientific analysis, and reasoning tasks, while maintaining robust security measures.

Master advanced AI risk evaluation using Azure AI's responsible tooling, including Content Safety and Azure AI Foundry features for safer AI deployment and monitoring.

Discover Azure AI Content Understanding's capabilities for processing multimodal data, featuring real-world applications from WPP and Numonix for enhanced enterprise AI solutions and customer experiences.

Discover how Microsoft and EY collaborate to create inclusive AI solutions through Azure AI Foundry, featuring insights from neurodivergent developers and practical approaches to accessible AI development.

Master fine-tuning techniques for Phi and Small Language Models (SLMs), exploring optimization strategies and customization approaches to enhance AI performance for specific use cases.

Discover how Toyota leverages GenAI and Azure technologies to revolutionize powertrain development through multi-agent systems, enhancing engineering efficiency and vehicle design innovation.

Master distributed training techniques for custom LLMs using Azure AI infrastructure, focusing on performance optimization, scalability, and efficient deployment with ND H100 and H200 series.

Discover how Semantic Kernel revolutionizes business processes through AI integration, featuring practical demonstrations, implementation strategies, and real customer success stories.

Discover practical strategies for optimizing Azure OpenAI in commercial operations, from cost reduction to enhanced customer engagement, with actionable insights for maximizing AI business value.

Discover essential strategies for building secure AI applications with built-in safety measures, data protection protocols, and compliance frameworks while exploring emerging trends in AI security.

Discover Microsoft's proven framework for successful Azure AI adoption, featuring trustworthy practices, developer tools, and scalable solutions for over 60,000 customers in the AI-driven landscape.

Discover how to seamlessly integrate Azure DevOps and GitHub, leveraging new features like Copilot, Codespaces, and Advanced Security while maximizing existing Azure tools for enhanced developer productivity.

Discover essential strategies and tools for evaluating your application and data infrastructure to accelerate AI implementation and drive business innovation through modernization.

Master GitHub Copilot's integration with Visual Studio 2022, exploring AI-driven features like smart breakpoints and enhanced code completions to accelerate development and improve code quality.

Master effective API governance using Azure's comprehensive suite of tools, including API Management, API Center, and Defender for Cloud, to enhance security, compliance, and development speed.

Master building high-performance serverless applications using Azure Functions Flex Consumption and Container Apps for AI workloads with GPU support and event-driven scalability.