Artificial Intelligence is reshaping organizations—but success with AI is not driven by engineers alone. It requires professionals who can identify opportunity, lead implementation, and deliver measurable outcomes.

At the Petrie Institute, we focus on the management, leadership, and applied use of AI. While computer science programs build algorithms, we prepare the professionals who decide where, why, and how AI creates value.

AI Education
Pathways

Leadership First. Technology Informed. Impact Driven.

1. Applied AI & Productivity

Non-Degree Programs for Immediate Impact

Who this is for:
Professionals, managers, and decision-makers who want to use AI to perform better—today.

What makes this different:
This is not technical training. It is practical enablement—focused on using AI tools to improve productivity, decision quality, and organizational effectiveness.

What participants learn:

How to use generative AI to accelerate writing, analysis, and communication
How to automate workflows and reduce time spent on routine tasks
How AI enhances decision-making across operations, finance, marketing, and policy
How to identify immediate AI opportunities within their current role

Ideal for:

Business professionals seeking measurable productivity gains
Government and military personnel improving mission effectiveness
Leaders responsible for products, services, or operational decisions

2. AI Leadership & Implementation

Degree Programs for Non-Engineers

Who this is for:

Professionals who will lead AI initiatives, not just participate in them.

What makes this different:
This is where Petrie Institute stands apart. These programs are designed for non-engineers who need to guide AI strategy, development, and deployment—bridging business needs with technical execution.

What graduates can do:

- Assess organizational readiness and identify high-impact AI opportunities
- Develop and deploy predictive and generative models for real-world use
- Translate business challenges into AI-enabled solutions
- Evaluate infrastructure decisions (cloud vs. on-premise) for cost, performance, and security
- Lead cross-functional teams and communicate effectively with executives

Ideal for:

- AI and innovation leaders
- Product and program managers
- Professionals leading digital transformation initiatives

Key distinction:
Graduates are not coders by trade—they are AI strategists, translators, and implementers who ensure AI delivers business value.

3. AI Research & Engineering

Computer Science and Algorithm Development

Who this is for:

Engineers and researchers who build the underlying technologies that power AI.

How this fits at Petrie Institute:
While this work is essential, it is not the primary focus of the Institute. We recognize and partner with computer science disciplines that specialize in algorithm development and software engineering.

Focus areas include:

- Designing new machine learning and deep learning algorithms
- Contributing to AI libraries and frameworks
- Advancing performance, scalability, and model architectures

Ideal for:

- Computer scientists and software engineers
- Researchers advancing the technical frontier of AI

Key distinction:
This pathway builds AI systems. Petrie Institute programs primarily focus on leading and applying them.