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Stanford University’s Agentic AI in Action: From Concepts to Real-World Impact (CSP-XTECH40) is a fully online, instructor-led course for business and technical professionals. It focuses on understanding, designing, and deploying AI agents to automate workflows, improve decision-making, and deliver tangible results, featuring live sessions, case studies, and practical exercises.
This course will provide learners with the ability to:
Understand core concepts behind agentic AI, including autonomous reasoning and action.
Design AI agent workflows using tool calling, APIs, and multiagent orchestration.
Evaluate strategic business use cases for AI agents across industries.
Build and test agentic applications through guided, no-code hands-on sessions.
Address critical considerations around AI reliability, governance, and ethical deployment.
The program delivers its content through complete online delivery together with interactive live sessions which make it suitable for professionals who work full time. The course combines theoretical knowledge with hands-on learning through demonstrations and interactive training activities. The program provides excellent value to professionals who want to advance their knowledge of applied AI innovation through its affordable tuition rate of $355.
Foundations of Agentic AI: Autonomous systems, reasoning, and decision-making.
Tool Calling & API Integration: Connecting AI agents to real-world systems.
Multiagent Orchestration: Designing and managing collaborative AI agents.
Governance & Ethics: Ensuring reliability, accountability, and responsible AI use.
Real-World Case Studies: Practical applications across business and technology.
Hands-On Exercises: No-code design and testing of agentic AI workflows.
The program accepts participants who possess no advanced coding skills.
The program is designed for business executives and product development specialists and technical staff members.
The program requires basic AI concept knowledge for participants although this requirement is not mandatory.
The applicant who wants to use AI agents for solving real-life business problems and handling organizational workflows.
Stanford's Agentic AI in Action program provides an exceptional solution to combine strategic planning with operational implementation. The course teaches business concepts and practical AI design through instruction from industry experts including Nithya Natesan who serves as Group Product Manager at Google. The program's current business value stems from its three key elements which include no-code experimentation and governance and actual system deployment for agent-based AI systems.
Agentic AI in Action: From Concepts to Real-World Impact serves as a resource for professionals who want to learn about AI agents and how to implement them in practical situations. The course provides live instruction and practical training together with actual business case studies which enable students to create and implement agentic AI systems that produce measurable business results.
