MGT5765
Artificial Intelligence (AI) Essentials
This course offers an interdisciplinary exploration of Artificial Intelligence (AI) applications, equipping students with the AI literacy, analytical skills, and problem-solving capabilities essential for the modern workforce. Designed for learners from all backgrounds, this course focuses on applied AI experimentation rather than programming, making it accessible while maintaining rigor.
Students will analyze how AI transforms business, healthcare, education, marketing, operations, and human resources, with a special focus on Texas industries such as oil & gas, automotive, steel, farming, and data centers. The course blends theoretical discussions with hands-on learning in a proprietary AI laboratory and testing environment, where students will engage in interactive AI labs, real-world simulations, and industry case studies.
Through practical experimentation with AI-driven decision-making, automation, and data analytics, students will develop a strategic understanding of AI’s capabilities, ethical considerations, and industry adoption challenges. The course culminates in an applied AI project, where students create and present an AI solution tailored to a real-world challenge.
PREREQUISITE: None
AQUIRED SKILLS:
- Effective Prompt Crafting
- Generative Artificial Intelligence Applications
- Ethical Artificial Intelligence Practices
- Artificial Intelligence Research Skills
- Cross-Functional AI Implementation
COURSE COMPETENCIES:
UPON COMPLETION OF THE COURSE, THE STUDENT WILL BE COMPETENT IN:
- Differentiating between AI, machine learning, and industry-specific AI applications.
- Evaluating AI’s impact across disciplines such as business, healthcare, education, and operations.
- Identifying ethical considerations, economic factors, and strategic implications in AI adoption.
- Applying AI tools to analyze and interpret data-driven decision-making.
- Utilizing AI-powered automation to enhance business and organizational processes.
- Assessing case studies showcasing successful AI applications in different industries.
- Experimenting with AI-driven tools such as chatbots, recommendation systems, and predictive analytics.
- Developing a hands-on understanding of AI limitations and current technological constraints.
- Formulating strategic recommendations for integrating AI into professional settings.
- Creating AI-driven projects relevant to marketing, HR, supply chain, and Texas industries.
- Synthesizing interdisciplinary AI applications for broader innovation and efficiency.
- Conducting benchmarking analysis on AI adoption across industries.
- Designing AI-driven solutions tailored to specific business or research challenges.
- Evaluating the evolving role of AI governance, regulations, and ethical AI frameworks.
- Developing and presenting an AI strategy demonstrating advanced problem-solving and implementation skills.