EAG V4REGISTRATION.
Agentic AI Engineering & Agentic SDLC. Build agent systems and deliver substantial software projects through teams of coding agents.
Enrollment emails begin on 31 October 2026. Registration records your interest; your seat is confirmed after enrollment and verified payment.
Build. Evaluate. Deliver.
20 sessions: 15 in Agentic AI Engineering with integrated engineering practice, 4 dedicated to Agentic SDLC and 1 capstone review. Work through a continuous project covering context, tools, memory, durable execution, evaluations, security, multi-agent orchestration and production operation.
A Practical Engineering Course
Build the runtime behind an agent: tool use, context and memory, task coordination, approvals and failure recovery. Rather than learning to use LangChain or Hermes, learn to build harnesses of that kind—and design custom harnesses for your own agentic workflows.
Use coding agents to build substantial, multi-component applications—not just demos. Take a project from detailed requirements and architecture through coordinated implementation, integration, testing and deployment. Build your own application or co-develop one with TSAI.
Bring it together in a working application—your own software or a project co-developed with TSAI. Demonstrate the complete workflow, including how it performs on realistic tasks and handles failures.
Real tools. Substantial applications.
EAG V4 will provide access to state-of-the-art (SOTA) LLMs for assignments and the capstone, giving students hands-on exposure to real industry workflows.
Choose your own substantial, end-to-end application with detailed requirements, or co-develop an application with TSAI. Both paths cover specifications, architecture, implementation, verification and delivery.
Early enrollment. Alumni benefits.
New students receive a 25% early-enrollment discount from 31 October through 14 November 2026.
Former TSAI students receive a 40% alumni discount throughout enrollment, not just during the early-enrollment window.
Registration & enrollment.
| Registration opens | 26 October 2026 |
|---|---|
| Enrollment emails begin | 31 October 2026 |
| First class | 5 December 2026 |
| Refund policy | A full refund, no questions asked, within the first 15 days from the first class. |
One email throughout.
Choose the Google account you will use for the course and Axiom sign-in. Use that same course email through registration, enrollment and learning-platform access.
A personal Gmail or Google Workspace address is required. Your payment receipt may use a different email; that will not change your course account. If you studied with TSAI under another address, enter it separately as your previous-course email.