AI is changing how work gets done. As agents take on more execution, people have new opportunities to solve problems, build applications, and improve business processes. Realizing that potential depends on how well we prepare people to work with AI.
For business leaders, that makes workforce readiness a priority alongside technology investment. People need to understand what AI can do, where to apply it, and how to judge the results. They also need opportunities to practice those skills in the context of their own work.
At Oracle University, our focus is helping customers and partners build that capability. We believe AI learning should give people a common foundation, then help them develop the specific skills their roles require.
AI changes the responsibilities of every role
In an enterprise where people work alongside agents, responsibility extends across the organization. Business owners define the outcomes they want and establish guardrails. Managers supervise work and handle exceptions. Builders design and improve workflows, while business users validate outputs and provide feedback.
Each role needs distinct preparation. A process owner needs to understand which decisions an agent can make independently within established organizational policies and oversight processes. A developer needs to know how to evaluate an AI application. A business user needs to recognize when a result requires closer review.
Role-based learning helps people connect AI concepts to those daily decisions. Hands-on training lets them practice, and certifications provide a way to demonstrate their knowledge. Together, these opportunities help teams build confidence as their responsibilities evolve.
Practical skills for building with AI
Software development makes this change especially tangible. Working with an AI coding agent requires people to define the task clearly, provide useful context, and assess whether the result meets the intended need. Reviewing and testing the work remain essential skills.
OpenAI Codex gives developers a practical way to begin building those capabilities. Oracle University has introduced Codex Foundations and Agentic Engineering with Codex, offering a path from getting started to applying Codex within team engineering workflows.
These courses are part of a broader approach to AI learning across Oracle Cloud Infrastructure and Oracle Fusion Cloud Applications. The aim is to help people develop skills they can apply to the systems and processes their organizations depend on.
Our commitment to train one million people
We are committed to training one million people on OpenAI technology and products.
That commitment reflects our belief that practical AI skills should reach people at scale. We want learners to gain the understanding and experience to put AI to work, and organizations to connect that learning to their business priorities.
The measure of progress must include how people apply what they learn. Can a team define a task more clearly, evaluate an output more effectively, or improve a workflow? Those are the kinds of questions that connect training to business outcomes.
As AI capabilities evolve, learning must continue with them. Reaching one million people starts with each of us choosing to learn. I encourage you to explore what Codex can help you accomplish, build your skills through practice, and bring that experience into your work. Together, we can help make AI a capability more people can put to use.
Explore Oracle University’s AI learning paths and Codex training. Join us in building the skills to put AI to work.