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Software product development is evolving rapidly as AI coding agents become an integral part of modern engineering workflows. Organizations are increasingly adopting AI-first product engineering, where product thinking, engineering practices, and AI-assisted execution work together to accelerate innovation and delivery.
AI coding agents such as Codex help teams move more efficiently from idea to implementation by supporting activities such as requirements exploration, solution design, feature development, testing, code review, and workflow automation.
This immersive 3-day training helps product and engineering teams learn how to design, build, test, refine, and deliver software products using Codex as an AI-powered engineering partner. The program combines product engineering, AI-assisted development, rapid prototyping, testing practices, and modern software delivery approaches to help teams build software faster while maintaining quality, maintainability, and engineering discipline.
By the end of the training, participants will have hands-on experience applying AI-first product engineering practices to build and evolve real software solutions using Codex.
This module introduces the emerging discipline of AI-first product engineering and explores how AI coding agents are transforming modern software delivery. Participants learn how product thinking, engineering workflows, and AI-assisted implementation combine to accelerate product development. Participants will understand how AI coding agents support product development and how AI-first engineering differs from traditional software delivery approaches.
Participants learn how ideas, business requirements, user needs, and product concepts can be transformed into structured engineering workflows using Codex. The focus is on creating effective prompt-driven development approaches that improve implementation quality and delivery speed. Participants will learn how to convert product concepts into actionable engineering workflows and AI-assisted implementation plans.
This module focuses on one of the most important factors in successful AI-assisted development: context. Participants learn how to provide effective project context, requirements, constraints, and engineering guidance to improve implementation quality and workflow reliability. Participants will understand how context quality directly impacts AI-assisted engineering outcomes and product delivery effectiveness.
Participants use Codex to design, implement, refine, and extend product features while maintaining engineering quality. The module focuses on practical implementation workflows where AI assists throughout the software development lifecycle. Participants will learn how to accelerate feature delivery while maintaining maintainability, quality, and engineering standards.
This module explores how AI-assisted engineering workflows support testing, validation, debugging, and software quality improvement. Participants learn how to combine AI-assisted implementation with disciplined testing and review practices. Participants will be able to improve software reliability and quality while accelerating development workflows.
Participants learn how software products evolve through iterative refinement, continuous improvement, and maintainable engineering practices. The module explores how Codex supports refactoring, modernization, and long-term product sustainability. Participants will understand how to improve existing systems safely while reducing technical debt and increasing maintainability.
This module examines how AI coding agents support product delivery activities, including code reviews, pull requests, implementation validation, workflow automation, and engineering collaboration. Participants learn how to establish repeatable AI-assisted delivery practices. Participants will learn how to integrate AI-assisted engineering into modern product delivery environments.
Participants apply everything learned throughout the workshop to design, build, test, refine, and present a working software product using Codex as an AI engineering partner. The capstone focuses on the complete product engineering lifecycle:
Participants leave with practical experience building a working product using AI-first engineering workflows.
Our detailed AI-First Product Engineering with OpenAI Codex training brochure is currently under development and will be available soon. Contact us to learn more about the agenda, learning outcomes, and training structure.
Participants who successfully complete the training will receive an AI-First Product Engineering with OpenAI Codex Training certification from Agilemania.
AI-First Product Engineering is an approach where product thinking, engineering practices, and AI-assisted development work together to accelerate software delivery and innovation.
This training is ideal for software engineers, technical product managers, technical leads, engineering managers, solution architects, innovation teams, and product development teams.
OpenAI Codex is an AI-powered coding agent that helps developers with implementation, testing, code generation, debugging, and engineering workflows.
No. The training covers practical Codex workflows and teaches participants how to collaborate effectively with AI coding agents.
Organizations increasingly seek professionals who can combine product thinking with AI-assisted engineering. These skills can help improve productivity, innovation, and career growth opportunities.
Yes. Participants learn how to move from idea to implementation and build working MVPs using AI-first engineering practices.
Yes. The training includes AI-assisted testing, validation, debugging, and quality improvement workflows.
Providing clear project context, requirements, and constraints helps AI agents generate more accurate, reliable, and maintainable outputs.
Participants design, build, test, refine, and present a working software product using OpenAI Codex as an AI engineering partner.
You can pay using debit/credit cards (MasterCard, Visa, American Express) or PayPal. Once payment is completed, you’ll receive an email confirmation.
Yes! Cancellations made within 24 hours of registration qualify for a full refund (minus payment gateway charges). Contact connect@agilemania.com for refund requests.
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Learn how to combine product thinking, engineering excellence, and AI-assisted development to build better software products faster. Gain practical experience using OpenAI Codex to accelerate implementation, improve quality, and deliver value with confidence.Register for AI-First Product Engineering with OpenAI Codex Training Today For corporate group training, private workshops, and customized learning programs, contact our team for more information.
