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AI Agent Development is a practical course designed to help professionals understand how to design, build, test, and deploy intelligent AI agents for real-world applications.
The course covers the fundamentals of agentic AI, AI agent architecture, tools, memory, context, workflows, automation, multi-agent systems, and AI agent evaluation. Learners will understand how AI agents can reason through tasks, interact with external tools, use information, and complete multi-step workflows.
You will learn how to design AI agent workflows, integrate tools and APIs, manage context and memory, implement retrieval-based capabilities, coordinate multiple agents, and create reliable AI-powered applications.
The course also focuses on practical AI agent development, including planning agent architectures, selecting suitable models and tools, designing workflows, implementing guardrails, evaluating agent performance, and preparing AI agents for deployment.
By the end of the course, learners will have a structured understanding of AI Agent Development and the practical skills required to build agentic AI applications for business and enterprise use cases.
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