By gaining hands-on experience with agentic design patterns and multi-agent frameworks like CrewAI, LangGraph, AG2, and BeeAI, you’ll be well-equipped for roles such as AI Workflow Engineer, Multi-Agent Systems Developer, Automation Architect, Generative AI Engineer, Machine Learning/AI Engineer, Software Developer, Data Scientist, or Data Engineer. These roles involve designing intelligent applications that automate complex workflows, collaborate across agents, and integrate with external systems.

Unlike traditional courses that emphasize linear coding logic, this course introduces you to AI agent orchestration and interaction design. You’ll learn to implement dynamic, goal-driven agents that can interact, make decisions, call tools, and manage tasks autonomously—transforming your approach from building static software to creating adaptive, collaborative AI ecosystems. This course provides a full overview of each framework and how they relate to Agentic AI. It covers a general overview of each Agentic framework, their pros and cons, and other relevant aspects.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.