Artificial Intelligence and Prompt Engineering

Tiffin University’s AIPE program is designed to prepare students to tackle real-world challenges by harnessing the power of AI and advanced prompt engineering techniques. This program empowers students to process and analyze complex data, apply cutting-edge algorithms and develop innovative solutions for a variety of practical problems across multiple industries. 

In the AIPE program, students will dive deep into the core concepts and theories of artificial intelligence, equipping them with the knowledge needed to excel in data science and AI applications. They will learn to identify and formulate complex computing problems, conduct thorough research and apply fundamental principles of computing sciences to develop well-informed, effective solutions.

By integrating these skills, students will be proficient at analyzing AI systems, solving intricate problems and utilizing AI principles to construct creative and efficient solutions. The program’s emphasis on the practical application and problem-solving aspects of Prompt Engineering ensures that all students, including non-traditional and working adult learners, develop career-relevant skills to make significant contributions in the AI field and beyond.  

Through immersive coursework and applied projects, you will tackle current industry challenges and gain experience with the latest technologies and methodologies.

Career-relevant skills include:

• The ability to communicate AI results and recommendations to technical and non-technical audiences.
• Collaboration on cross-functional teams, such as business, IT, product and stakeholders.
• Critical thinking and problem-solving using data and AI tools.
• Ethical and responsible AI use, such as privacy, bias, governance and transparency.
• Project-based workflow skills, including scoping, iteration, documentation and testing.

Technical skills include:

• Prompt engineering and LLM application design, such as prompt patterns, evaluation and iteration.
• Natural Language Processing (NLP) fundamentals and text analytics.
• Machine learning fundamentals, including training concepts, model evaluation, overfitting and metrics.
• Python for AI/data work and working with common AI libraries/tools.
• Data preparation and feature engineering basics, such as  cleaning, transformations and pipelines.
• Building AI-powered apps, including APIs, integrations and basic deployment concepts.
• Human-AI interaction and UX considerations for AI systems, such as usability, safety and guardrails.

Our students have hands-on experience with AIPE, through real-world projects, internships and collaborations with industry-leading organizations. This includes: 

• Case Studies 
• Applied projects in virtual environments
• Industry Collaborations 
• Workshops and Seminars  
• Faculty engagement in an online format
• Hackathons and Competitions 
• Research Opportunities and Labs
• Guest Speakers 
• Access to AI and Data tools remotely
• Simulations 
• Networking Events 
• Internships 

FORMAT

Online – Offered in two terms per semester starting in January, March, May, July, August and October

SAMPLE COURSES

Ethics in AI (AIP150) – This course delves into the ethical considerations and societal impacts of Artificial Intelligence (AI) and Prompt Engineering. Students will explore the complex interplay between technology, ethics and human values as AI systems become more integrated into our lives. Through case studies, discussions and critical analysis, students will examine ethical challenges related to bias, privacy, accountability, transparency and the broader ethical implications of AI decision making. The course aims to equip students with the tools to make informed ethical choices in AI development and deployment.    

Human-Computer Interaction (AIP250) – This course explores the interdisciplinary field of Human-Computer Interaction (HCI), which focuses on designing technology interfaces that are intuitive, user-friendly and effective. Students will learn how to create user-centered digital experiences by considering user needs, cognitive processes and usability principles. Through a combination of theoretical concepts, hands-on design exercises and usability testing, students will gain practical insights into interaction design, user interface prototyping and user experience evaluation. The course covers topics such as user-centered design, usability heuristics, interaction design patterns, accessibility and user research methodologies.    

Prompt Engineering (AIP 445) – This course offers an immersive and comprehensive exploration of the techniques, strategies and tools required to harness the power of AI-driven text generation. This dynamic course delves into the heart of AI-powered text generation, where students will learn to create sophisticated language models capable of generating human-like text outputs. The course covers the principles and practices of prompt engineering, equipping students with the skills needed to craft precise and effective prompts that yield desired AI-generated responses.    

The field of Artificial Intelligence has experienced rapid growth and is projected to continue expanding across various industries. There is a significant shortage of qualified AI professionals to meet this demand. The World Economic Forum’s Future of Jobs Report 2025 lists AI and machine learning specialists among the fastest-growing job categories, alongside big data and fintech roles, reflecting strong demand for advanced AI expertise. The report also projects significant labor-market expansion through 2030, with 170 million new jobs created globally and a net increase of 78 million jobs overall, and notes that nearly 77% of employers plan to upskill their workforce in response to evolving skill needs.

According to the United States Bureau of Labor Statistics (BLS), the job market for data scientists is expected to grow by 34% from 2024 to 2034, and the annual median pay for data scientists was approximately $112,000 in 2024.

CAREERS

• AI Specialist 
• Machine Learning Engineer 
• Prompt Engineer/Designer 
• NLP Engineer 
• AI Ethics Consultant 
• Data Scientist 
• AI Product Manager 
• Human-AI Interaction Designer 
• AI Researcher 
• AI Strategist 
• AI Educator/Trainer 
• AI Policy Analyst 
• AI Consultant 
• AI Quality Assurance Analyst 

What is Artificial Intelligence and Prompt Engineering?

Artificial intelligence (AI) refers to computer systems designed to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. Prompt engineering is the practice of crafting clear, effective instructions that guide AI systems to produce accurate, useful, and responsible outputs. As AI becomes more integrated into daily life and business, these skills are essential for creating meaningful human-AI interactions, maximizing AI’s capabilities, and ensuring its ethical use across industries.

What is a bachelor’s in Artificial Intelligence and Prompt Engineering?

Tiffin University’s Bachelor of Science in Artificial Intelligence and Prompt Engineering (AIPE) offers a hands-on curriculum that covers key AI areas such as natural language processing, human-computer interaction, robotics, and prompt engineering. Through real-world projects, internships, and industry collaboration, students gain practical experience and graduate prepared for careers in AI development, human-AI interaction, prompt engineering, ethics, and related fields.

What can i do with a degree in AI and Prompt Engineering?

Artificial intelligence is a rapidly growing field with strong demand across industries and a shortage of qualified professionals. According to the World Economic Forum’s Future of Jobs Report 2023, AI and prompt engineering roles are among the fastest-growing globally, with projected growth of 45% per year and average salaries around $120,000. Graduates are prepared for careers spanning AI development, machine learning, prompt engineering, data science, ethics, research, product management, policy, education, and human-AI interaction.