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Lead Instructor(s)
Date(s)
Jul 13 - 17, 2026
Registration Deadline
Location
On Campus
Course Length
5 Days
Course Fee
$4,500
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Deepen your understanding of the end-to-end AI system architecture needed to design and deploy large language models (LLMs)—and implement an LLM application of your own during a hands-on group project.

THIS COURSE MAY BE TAKEN INDIVIDUALLY OR AS PART OF THE PROFESSIONAL CERTIFICATE PROGRAM IN MACHINE LEARNING & ARTIFICIAL INTELLIGENCE.

Course Overview

Unlock the future of Artificial Intelligence with Large Language Models (LLMs) — the engines driving the Agentic AI revolution. Implement an Agentic AI application of your own during a hands-on group project.

AI is no longer just a tool; it’s becoming an active technology partner in how organizations operate, innovate, and grow. From finance and healthcare to manufacturing, logistics, and national security, Agentic AI is transforming industries by streamlining workflows, accelerating decision-making, and creating entirely new business opportunities.

At the core of this transformation are LLMs — powerful systems that learn, reason, and generate language at human-like levels. But to truly harness their potential, professionals must go beyond surface-level usage and understand the end-to-end architecture that makes LLMs work.

In this five-day intensive program, you’ll:

•    Understand the AI stack: Learn the critical building blocks of an AI system, from data pipelines to deployment.
•    Master LLMs: Gain deep insights into how LLMs function as the foundation of Agentic AI.
•    Build representative real-world applications: Collaborate with global peers to design and implement your own Agentic AI solution, guided by renowned AI expert David Martinez and two experienced course assistants, who are also AI practitioners.
•    Drive impact: Apply your knowledge directly to the challenges facing enterprises today — boosting productivity, innovation, and competitive advantage.

Unlike traditional AI, which focuses primarily on front-end AI processing, Agentic AI is proactive at the back-end of decision support systems. Agentic AI can reason, plan, and act — autonomously driving workflows and outcomes. By mastering LLMs, you’ll position yourself at the forefront of this shift, equipped to:
•    Architect AI solutions suitable for a range of industries.
•    Unlock new efficiencies in design and deployment anchored on an end-to-end AI system architecture.
•    Lead your organization into the next wave of AI-driven transformation.

This course is designed for leaders, innovators, and technical professionals eager to move beyond AI basics and gain hands-on mastery of LLMs and Agentic AI applications. Whether your goal is operational efficiency, product innovation, or strategic advantage — this course delivers the expertise to make it happen. Walk away not just with knowledge, but with practical experience implementing an LLM-powered Agentic AI system — and the confidence to lead AI adoption in your field.

Learning Outcomes
  • Deepen your understanding of the AI system architecture building blocks needed to design LLMs
  • Acquire the tools, skills, and strategies to successfully deploy LLMs
  • Learn systems engineering principles, including logistics, testing and evaluation, and maintainability
  • Explore responsible AI as a way to design, develop, and deploy AI in a legal and ethical manner
  • Participate in a hands-on project, where you’ll design and implement an LLM application and then present it to AI practitioners
Who Should Attend

This course is designed for leaders, innovators, and technical professionals eager to move beyond AI basics and gain hands-on mastery of LLMs and Agentic AI applications. Whether your goal is operational efficiency, product innovation, or strategic advantage — this course delivers the expertise to make it happen. Walk away not just with knowledge, but with practical experience implementing an LLM-powered Agentic AI system — and the confidence to lead AI adoption in your field.

This course is designed for participants who have a bachelor's degree (at a minimum) and at least three years of professional experience. Professionals who will particularly benefit from the curriculum include:

  • Systems engineers who need practical frameworks for building AI pipelines and launching new projects
  • Executives looking to manage change and make smart investment decisions related to AI technology
  • Technical leaders who require specialized knowledge to head effective AI-powered teams
  • Product directors who want to develop cohesive plans for product development and deployment
  • Team leaders who guide high-technology groups in executing complex AI initiatives
  • Researchers who want to explore and advance AI applications across industries
  • Entrepreneurs who need actionable roadmaps for building and growing AI-powered businesses
Brochure
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