Responsible Agentic Artificial Intelligence and Applications (Classroom, Synchronous and Asynchronous E-Learning)
About This Course
Agentic Artificial Intelligence (AI) systems autonomously make decisions, act, and adapt in dynamic environments. As these AI systems integrate into high-stakes fields like healthcare, financial trading and autonomous transactions, understanding their risks and ethical challenges is critical. This course covers the architecture and key components for building agentic AI frameworks, including hands-on training to use an industry standard for providing context to Large Language Models and agents using Model Context Protocol. It guides learners towards responsible agentic AI design and deployment by grounding the practical expertise acquired with knowledge about the unique risks exposed by agentic AI systems and possible mitigation strategies.
What You'll Learn
• Describe the various technical and operational components to build robust and smart agentic Artificial Intelligence (AI) frameworks for different application requirements.
• Design and build Model Context Protocol (MCP)-based agents using an industry standard.
• Describe the risks and challenges associated with agentic AI systems and explain how some of these risks may be addressed with appropriate governance, evaluation and mitigation techniques.
Entry Requirements
No pre-requisites are needed to enroll in the course; however, learners without qualifications or working experience in relevant engineering or the related fields may find the course contents challenging.