One brain is good; a team of specialists is better. As AI tasks grow in complexity, a single “generalist” agent often fails. The solution is Orchestration. In this final 90-minute session, we explore the cutting edge of agentic design: the Model Context Protocol (MCP).
Artificial intelligence is rapidly evolving beyond chatbots and single prompts. A new generation of systems – known as AI Agents – can pursue goals, use tools, maintain memory, and execute multi-step workflows with minimal human intervention.
This course teaches developers how to build generative AI applications using Azure OpenAI Service. Participants will learn how to use large language models to create intelligent applications, integrate enterprise data, and implement prompt engineering techniques.
Generative AI is transforming how professionals learn, build skills, and advance their careers. AI tools can act as personalized learning assistants, helping individuals acquire knowledge faster, practice new skills, and receive tailored guidance in real time.
Generative AI tools are transforming how managers and program coordinators design communications, engage teams, and support employee development. This session provides practical guidance on using AI to improve the quality, speed, and personalization of people-related tasks.
Generative AI tools are transforming how managers and program coordinators design communications, engage teams, and support employee development. This session provides practical guidance on using AI to improve the quality, speed, and personalization of people-related tasks.
Agentic AI is transforming how organizations design intelligent systems that can interpret goals, make decisions, use tools, and complete multi-step tasks.
This one-day, hands-on course introduces the Gemini Enterprise Platform and the skills needed to design, automate, secure, and deploy enterprise-grade AI solutions.
