Program Details
Next Start Date: August 17
Credit Hours: 9
Course Length: 7-15 weeks
Estimated Program Length: 9 months
Aquire the knowledge and confidence to use Artificial Intelligence, Generative AI and emerging AI technologies to solve real-world problems, improve productivity and drive innovation with the University of West Florida's online Artificial Intelligence in Practice Graduate Certificate.
Why Study Artificial Intelligence in Practice at UWF?
Organizations are increasingly seeking professionals who can understand and apply AI technologies that drive innovation and solve real-world challenges. UWF's online Artificial Intelligence in Practice Graduate Certificate will help you develop the in-demand practical AI knowledge that can be immediately applied in the workplace.
Through hands-on projects, case studies and exposure to emerging technologies, students and working professionals seeking to explore the foundational concepts, trends, best practices and techniques of artificial intelligence will learn how to leverage AI to improve productivity, automate processes, strengthen problem-solving capabilities to create new opportunities for growth and innovation.
Taught by expert faculty from UWF's nationally recognized Center for Cybersecurity and AI, the certificate includes the choice to dive deeper into the application of AI in either cybersecurity or software development. Courses include supervised and unsupervised machine learning (ML) and best practices to minimize risk or an introduction into AI integration and how it can enhance requirements analysis, design, coding, testing, debugging, deployment and maintenance of software systems.
Designed for students and working professionals from any discipline, courses emphasize hands-on projects, current tools and trends and alignment with real workforce roles that provide clear connections between coursework and practical workforce use.
With no prior AI or programming experience required, this certificate provides a flexible pathway to build in-demand AI skills and stay competitive in an AI-enabled workforce in business, healthcare, government, education, engineering, defense, technology, cybersecurity and other industries.
What You Will Learn
In the AI in Practice Graduate Certificate you will learn foundational AI concepts and practical skills for applying AI tools to real problems across multiple domains. Gain practical experience using today's most impactful AI technologies while learning how to use them responsibly, ethically and securely.
By completing this certificate, you will be able to:
- Evaluate and apply AI technologies to improve organizational performance, productivity and innovation
- Use Generative AI and Large Language Models (LLMs) to enhance communication, research, content creation and problem solving.
- Identify opportunities to integrate AI into business, government, healthcare, cybersecurity, engineering and other professional environments
- Analyze data and AI-generated insights to support informed decision making
- Assess the benefits, risks, limitations and ethical implications of AI technologies
- Collaborate effectively with technical and non-technical stakeholders on AI-enabled initiatives
- Develop practical AI literacy and skills that can be immediately applied in current and future roles
This certificate program aligns with major national workforce efforts, including the UWF-led National Cybersecurity Workforce Development Program, CyberSkills2Work, which provides AI- and cybersecurity-related training, industry certification preparation, and career development support for eligible participants. This ecosystem creates opportunities for students to engage with experiential learning, industry-aligned projects, and potential collaborations related to AI-enabled cybersecurity and data-driven problem solving.
Graduates may pursue opportunities with organizations that are actively adopting AI technologies, including:
- Technology companies and software firms
- Defense and aerospace organizations
- Federal, state, and local government agencies
- Healthcare systems and medical technology companies
- Financial institutions and fintech organizations
- Consulting and professional services firms
- Manufacturing and supply chain organizations
- Cybersecurity companies and security operations centers
- ducational institutions and research organizations



