What you’ll learn
- Master Azure AI Studio to build and deploy sophisticated AI solutions, enhancing productivity and innovation in your organizations
- Create customized AI models trained on your own data sources (RAG), including documents, databases, and web content, to address specific business challenges
- Integrate advanced AI services into applications with Azure AI Studio, making them multimodal with capabilities in vision, speech, and document intelligence
- Develop end-to-end AI applications from scratch from Azure AI Studio
- Integrate AI solutions with existing enterprise systems and workflows using APIs and custom functions with Azure AI Studio
- Implement MLOps practices in Azure AI Studio to streamline the lifecycle management of AI models, from development to production and monitoring
- Learn everything you need to know about Azure AI Studio, progressing from beginner to expert level throughout the course
- Orchestrate prompt flows together to create copilots and apps, that bring together LLMs, data indexing (RAG), custom functions, multimodal services, and more
As a manager at one of the world’s top management consulting firms, he advises F500 companies on growth strategy, operation, and analytics. He has a vast background in applying data-driven solutions to create impact, in both large and small organizations.
Henry is also a big proponent of Generative AI and No-Code application development in business. He deploys business application to his clients using No-Code, Generative AI, and Automation solutions, which are much easier to understand and faster.
As a professor, Henry is passionate about teaching students on how to succeed, on any topic (case interviews, no-code application development, automation). He does this by creating courses with engaging and helpful content, and always being around to answer any questions.