Agentic AI ArchitectureCornell Certificate Program
Overview and Courses
Breakthroughs in large language models (LLMs) are rapidly reshaping how organizations innovate, automate, and deliver value to their customers. As AI capabilities expand, professionals who can bridge technical implementation with strategic vision are increasingly in demand.
This certificate program takes you from the fundamentals of large language models to the cutting edge of autonomous agents. You’ll develop an intuition for LLM behavior, prompting, and context engineering, and learn why models sometimes hallucinate. You’ll also explore Retrieval-Augmented Generation (RAG), enabling models to access private and up-to-date data.
Next, you’ll move from “AI that chats” to “AI that acts” by building AI agents and improving their effectiveness through multi-agent workflows and agentic protocols. Finally, you’ll step back to evaluate AI opportunities through the lens of governance, risk, security, and human oversight, so you can deploy AI responsibly at scale.
Whether you're a developer building AI-powered applications, a technical leader evaluating AI opportunities, or an executive shaping AI strategy, this program provides the practical skills and strategic frameworks to harness AI’s transformative potential while navigating its risks responsibly.
You will be most successful in this program if you are comfortable with at least one programming language.
The courses in this certificate program are required to be completed in the order that they appear.
This program includes a full year of free access to the AI Symposium!
These highly interactive virtual events span multiple days and explore today’s most pressing topics. Symposium offers exclusive opportunities to engage in real-time discussions with your eCornell community, applying insights from your courses to real-world scenarios. Through reflections and small-group discussions, you’ll deepen your learning, broaden your perspective, and expand your professional network.
Symposium events are held throughout the year, providing ongoing opportunities to stay engaged, gain fresh perspectives, and strengthen your skills. Once enrolled, you’ll receive access to the Symposium networking site and details about upcoming sessions. You can participate in as many as you’d like to make the most of your experience, though attendance is not required to complete your program.
Course list
While millions use AI chatbots daily, few understand the mechanics that drive them. This course builds a foundational understanding of how large language models actually work, developing the practical intuition that will make you a more effective AI user and builder.
You'll explore the architecture of neural networks and transformers, understand why LLMs sometimes fail at seemingly simple tasks, and learn strategies to mitigate hallucinations and other limitations. Through hands-on work with the OpenAI API, you'll transition from chatting with AI to programmatically integrating it into applications.
You'll learn how to achieve consistently better results through context engineering and effective prompt engineering techniques, including chain-of-thought reasoning and self-reflection. You'll also understand the evolution from base models to reasoning models, and build your first AI chatbot with streaming responses, memory, and personalized system prompts.
By the end of the course, you'll have the technical foundation and practical skills to build reliable AI applications.
- Mar 18, 2026
- Apr 1, 2026
- Apr 29, 2026
- May 13, 2026
- Jun 10, 2026
- Jun 24, 2026
- Aug 5, 2026
LLMs are powerful, but they're limited by their training data and lack access to your organization's private information. In this course, you'll master Retrieval-Augmented Generation (RAG), the industry-standard architecture for giving AI access to proprietary knowledge.
You'll also explore advanced techniques, including RAG over relational databases (Text-to-SQL) and GraphRAG, to improve accuracy and reduce errors. Through hands-on projects, you'll develop production-ready RAG applications that ground AI responses in trusted, up-to-date information while dramatically reducing hallucinations.
- Mar 18, 2026
- Apr 1, 2026
- Apr 15, 2026
- May 13, 2026
- May 27, 2026
- Jun 24, 2026
- Jul 8, 2026
This course bridges the gap between AI that thinks and AI that acts. You'll learn to build AI agents—LLMs equipped with tools, memory, and reasoning capabilities—that can execute workflows autonomously.
The course covers the core components of agents (the model, system prompt, tools, and memory) and explores practical architectural patterns such as prompt chaining, routing, parallelization, orchestrator–worker designs, and reflection loops. You'll also explore how agents communicate with one another through protocols and handoffs, and learn the Model Context Protocol (MCP), which enables you to build and consume standardized tool interfaces.
Through progressive projects, you'll develop everything from focused AI workflows to more autonomous agents capable of tackling open-ended objectives.
- Apr 15, 2026
- Apr 29, 2026
- May 27, 2026
- Jun 10, 2026
- Jul 8, 2026
- Jul 22, 2026
- Aug 5, 2026
Unlocking the full potential of AI isn't just about technical skills. This course focuses on the strategic, ethical, and organizational dimensions of deploying AI, preparing you to lead AI initiatives that deliver value while managing risk.
You'll develop frameworks for evaluating AI opportunities across impact, feasibility, and ethical considerations, and learning how to identify high-ROI projects to avoid costly failures. Through an in-depth case study on AI-assisted hiring, you'll confront the complexities of algorithmic fairness and values alignment firsthand.
Finally, you'll address the human side of AI transformation, including workforce deskilling, resistance to change, and the risk of apprenticeship loss. You'll emerge equipped to lead AI adoption in ways that enhance human potential.
- Apr 15, 2026
- Apr 29, 2026
- May 13, 2026
- Jun 10, 2026
- Jun 24, 2026
- Jul 22, 2026
- Aug 5, 2026
Symposium sessions feature three days of live, highly interactive virtual Zoom sessions that will explore today’s most pressing topics. The AI Symposium offers you a unique opportunity to engage in real-time conversations with peers and experts from the Cornell community and beyond. Using the context of your own experiences, you will take part in reflections and small-group discussions to build on the skills and knowledge you have gained from your courses.
Join us for the next Symposium, in which we’ll share experiences from across the industry, inspiring real-time conversations about best practices, innovation, and the future of AI. You will support your coursework by applying your knowledge and experiences to some of the most pressing topics and trends in the field. By participating in relevant and engaging discussions, you will discover a variety of perspectives and build connections with your fellow participants from across a variety of industries.
All sessions are held on Zoom.
Future dates are subject to change. You may participate in as many sessions as you wish. Attending Symposium sessions is not required to successfully complete any certificate program. Once enrolled in your courses, you will receive information about upcoming events. Accessibility accommodations will be available upon request.
How It Works
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Key Course Takeaways
- Develop AI intuition using LLMs and prompt engineering
- Build scalable AI chatbots using retrieval-augmented generation (RAG)
- Engineer intelligent workflows with advanced agentic AI frameworks
- Identify opportunities to create strategic value with AI


JOIN AN AI SYMPOSIUM!

What You'll Earn
- Agentic AI Architecture Certificate from Cornell’s Ann S. Bowers College of Computing and Information Science
- 80 Professional Development Hours (8 CEUs)
Who Should Enroll
- Software engineers and developers
- Data scientists and analysts
- Machine learning engineers
- AI and NLP Practitioners
- Technical product managers
- CTO and tech executives

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Agentic AI Architecture
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
