Move beyond simple chatbots. This episode explores the future of automation with AI Agents on Azure, defined as intelligent software systems that combine generative AI models with contextual data to autonomously complete tasks. We examine how multi-agent solutions can handle complex workflows. We then detail the development options, ranging from low-code platforms like Microsoft Copilot Studio for business users, to code-first frameworks such as the Azure AI Agent Service, Semantic Kernel, and AutoGen for professional developers. Finally, we break down the Azure AI Agent Service's core: the model (for prompts), knowledge (for grounding), and tools (for action automation). Tune in to understand the platform and frameworks driving the next generation of enterprise automation.https://learnazure4free.com/

This episode breaks down the crucial four-stage process for building safe and ethical AI solutions. First, they Identify Harms by rigorously testing for risks like bias and false content. Second, they Measure Harms, establishing baselines for system performance and risk presence. Third, they Mitigate Risks by applying a layered defense that ranges from model tuning to user experience design. Finally, they Operate Responsibly, ensuring ongoing safety through compliance, phased rollouts, and robust incident plans. We explore how this guidance, which champions continuous testing and tools like Azure AI Content Safety, is defining the future of trustworthy AI deployment.https://learnazure4free.com/

Unlock the power of Artificial Intelligence on Microsoft Azure. This episode explores core AI capabilities—Generative AI, Computer Vision, and NLP—and details the Azure AI service suite, including specialized APIs like Azure OpenAI.