The specialization is structured to guide learners through the full lifecycle of agentic AI systems, starting with foundational principles and progressing to advanced deployment techniques. The first course in the path establishes the core concepts of agentic AI, including system design, safety, and advanced prompting. The next stage explores memory integration, tool use, and multi-agent collaboration, enhancing agents' ability to operate in complex environments. The final course in this specialization focuses on testing, observability, and production deployment, ensuring systems are reliable, secure, and scalable. Through a blend of theory and practical application, learners develop the technical expertise and strategic insight required to design and manage intelligent agents in real-world settings.
This specialization is based on the course, Agentic AI Systems Design, Build, and Deploy Intelligent Agents, by Vinit Kumar Singh.
Applied Learning Project
Applied practice activities integrated throughout the courses provide structured opportunities for learners to apply key concepts and methods in realistic contexts. Through guided analysis, reflection, and skill application, participants engage with authentic challenges aligned to the subject matter and develop practical competence in solving domain-relevant problems.
