Agentic AI Johns Hopkins University

Overview

Build and evaluate your own intelligent agents with Python with  Agentic AI course from Johns Hopkins University :

• Understand and apply frameworks like ReAct and Chain-of-Thought (CoT)

• Design agents using symbolic, BDI, and LLM architectures for specific tasks

• Build agents that perceive, reason, plan, act, and learn with Python and AI

• Evaluate agent behavior in complex multi-agent and human-agent environments

• Address ethical and safety challenges in AI deployment with responsible AI principles

• Integrate skills into functional agent-based systems to solve real-world problems

Key Facts

• Flexible learning format

Learn from a blend of recorded lectures, live mentored sessions, and AI-assisted learning tools.

• Live masterclass, hands-on projects

Work on real-world, hands-on projects to build practical skills in Agentic AI and stand out to employers.

• Live mentorship sessions with industry experts

Benefit from professional insights from expert industry practitioners in AI, refine your projects, and set yourself up for success in the field.

• Dedicated support

Access a dedicated Program Manager and Academic Learning Support, which includes discussion forums and peer groups for a comprehensive learning experience.