Section	Candidate Type	Eligible?	Typical Requirement	Notes
Primary fit	Product managers and operations leads	Yes	Experience coordinating cross-functional workflows	Core audience — agentic AI directly applies to process automation and team coordination.
Primary fit	AI enthusiasts and early adopters	Yes	Interest in building autonomous AI systems	Ideal for professionals who have used ChatGPT and want to go beyond single-prompt interactions.
Primary fit	Consultants and solution architects	Yes	Client-facing delivery of AI workflows	Gain hands-on experience designing agentic systems you can deploy for clients.
Adjacent backgrounds	Software developers exploring AI agents	Yes	Basic understanding of APIs and workflows	Complements coding skills with agent design principles and orchestration patterns.
Adjacent backgrounds	Data analysts and researchers	Yes	Experience working with data pipelines	Agent-powered research and data gathering modules are directly applicable.
Adjacent backgrounds	Educators and trainers in AI topics	Yes	Teaching or curriculum design experience	Course structure and materials can be adapted for agentic AI training programs.
Experience level	Beginners with AI chat experience	Yes	Has used ChatGPT or Claude for basic tasks	Course starts from agentic fundamentals and builds up systematically.
Experience level	Intermediate AI users	Yes	Comfortable with prompt engineering	Best fit — ready to move from prompting to multi-agent system design.
Experience level	Technical leads and architects	Yes	System design responsibility	Useful for evaluating and implementing agentic AI at the organizational level.