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Course Description

The Agentic AI Certificate de-mystifies the technology and clarifies ways to leverage it for business value.  

This certificate equips professionals with the skills to design and deploy autonomous AI agents that proactively solve problems, optimize workflows, and drive strategic outcomes. The focus will be on the approach, logic, and operational value. Participants will learn to architect solutions with vendor-independent blueprints, and to leverage cutting-edge tools like large language models (LLMs), vector databases, and decision-making frameworks to build AI systems that operate with limited human oversight. 

This highly interactive program emphasizes real-world applications, enabling businesses to reduce operational costs, improve decision velocity, and unlock new revenue streams. Graduates will understand how to integrate agentic AI into enterprise systems, from customer service to supply chain optimization, accelerating digital transformation initiatives. 

The curriculum balances technical fluency with ethical considerations and governance strategies, ensuring AI adoption aligns with corporate responsibility. Ideal for business managers, innovation leads, data professionals, and business strategists, this certificate turns theoretical AI knowledge into tangible business value

 

Course Objectives

Upon successful completion of the certificate, you’ll be able to:

  • Build and Deploy Autonomous Agents- Learn to design, prototype, and launch AI agents using tools such as LangChain, OpenAI APIs, and vector databases—delivering real-world automations in customer support, research, or task delegation.
  • Integrate Agentic AI into Business Workflows -Identify high-impact use cases in their organization and embed AI agents into processes such as lead generation, internal reporting, or knowledge management to increase efficiency and reduce manual workload.
  • Quantify ROI of Agentic AI Solutions -Develop the ability to measure and articulate the value of AI agents through KPIs such as time saved, response quality, reduced cost-to-serve, or increased conversion rates—translating technical output into executive-ready metrics.
  • Leverage Decision-Making Frameworks for Autonomous Agents - Apply planning and reasoning frameworks (e.g., ReAct, AutoGPT-style agents) to enable agents to complete multi-step tasks aligned with business goals, from summarizing competitor intelligence to auto-generating marketing briefs.
  • Ensure Ethical and Responsible Deployment -Implement protocols for AI safety, data privacy, and bias mitigation, ensuring AI agents align with corporate governance policies and compliance standards.
  • Deliver an AI Agent Capstone for Immediate Use - Each student will leave the program with a functioning, business-relevant agent or agent prototype—ready for testing or rollout within their organization, showcasing direct applicability of skills learned
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