DIPLOMA IN APPLIED ARTIFICIAL INTELLIGENCE - Distance Learning

stanton university

Program Information

Stanton University’s Applied Artificial Intelligence Diploma is a 10-week, 40-hour online program designed  to provide practical, job-ready AI skills for beginners and non–computer science majors. The program  emphasizes a unique “Vibe Coding” methodology, enabling learners to build software, automate  workflows, and design AI-powered solutions using natural language commands—without prior coding  experience.  

The curriculum consists of six required courses and three electives, each worth 4 university credits. Core  courses cover AI and generative AI fundamentals, advanced prompt engineering, no-code AI app  development using tools like Cursor and Windsurf, business automation with AI agents, and industry focused AI ethics and security guidelines. The program concludes with a capstone project, where students  apply all learned skills to produce a real-world, portfolio-ready business solution.  

Elective options allow specialization in AI-driven media and content creation, workflow automation with AI  APIs, or professional AI applications for law and management. Assessments are hands-on and skill-based,  often allowing the use of AI tools and translation features to reduce language barriers and emphasize real world performance over memorization. 

Program Objectives

Diploma in Applied Artificial Intelligence 

The Diploma in Applied Artificial Intelligence program is designed to:

  1. Establish Foundational Competence in Artificial Intelligence:
    Provide students with a structured and comprehensive introduction to artificial intelligence,  generative AI technologies, and large language model ecosystems to ensure foundational AI  literacy applicable across disciplines.

  2. Develop Advanced Human–AI Interaction Skills: 
    Equip students with systematic prompt engineering methodologies that enable effective, precise,  and strategic interaction with AI systems for professional and analytical applications.

  3. Enable Practical AI Application Without Traditional Coding Barriers:
    Deliver an accessible, natural-language–driven development framework (“Vibe Coding”) that empowers non-technical learners to build functional AI-powered digital solutions without prior programming expertise.

  4. Prepare Students for AI-Driven Business Automation: 
    Train students to identify operational inefficiencies and design AI agent–based automation workflows that improve organizational productivity and decision-making processes. 

  5. Promote Integrated AI Implementation in Professional Environments:
    Provide hands-on experience in integrating AI systems with contemporary business platforms and digital infrastructures to enhance workflow optimization and enterprise innovation. 

  6. Foster Responsible and Ethical AI Deployment:
    Instill a strong understanding of ethical standards, data governance, privacy protection, and cybersecurity principles necessary for responsible AI adoption in professional settings. 

  7. Culminate Learning Through Applied, Portfolio-Ready Innovation: Require students to synthesize technical knowledge and applied competencies into a capstone project that demonstrates real-world problem-solving, innovation, and professional readiness in AI  application. 

Program Learning Outcomes (PLOs)

Upon successful completion of the Diploma in Applied Artificial Intelligence program, graduates will be able to:

  1. Demonstrate Foundational AI Literacy
    Articulate the core concepts, architectures, and current trends of artificial intelligence, including generative AI and large language models (LLMs), and evaluate their practical applications across industries.
  2. Apply Advanced Prompt Engineering Techniques
    Design, refine, and optimize structured prompts to generate precise, context-aware, and task-specific outputs from AI systems for business, research, and operational purposes.
  3. Develop Functional AI-Driven Applications Using Natural Language Interfaces
    Build and deploy basic web applications, workflows, or software tools using natural language– based development environments (“Vibe Coding”) without reliance on traditional programming syntax.
  4. Design and Implement AI Automation Solutions
    Analyze repetitive business processes and construct AI agent workflows capable of automating communication, scheduling, information processing, and customer-facing tasks.
  5. Integrate AI with Existing Business and Productivity Platforms
    Connect AI APIs and generative AI systems with enterprise tools (e.g., collaborative workspaces, document management systems, workflow platforms) to streamline organizational operations and enhance productivity.
  6. Evaluate Ethical, Legal, and Security Implications of AI Deployment
    Identify and assess risks related to data privacy, intellectual property, bias, and cybersecurity, and apply responsible AI governance principles in professional contexts.
  7. Produce a Capstone-Level Applied AI Solution
    Design, develop, and present a portfolio-ready AI-integrated solution that addresses a real-world business or professional challenge, demonstrating creativity, technical competence, and practical applicability.

Graduation Requirements

A candidate for the Diploma in Applied Artificial Intelligence program shall have: 

  1. Successfully completed 36 units of classes, which is all 9 required coursework.
  2. Successfully maintained a minimum cumulative grade point average of 2.0 on a 4.0 scale for all law school coursework.
  3. Filed all the necessary graduation forms in accordance with the timetable provided by the department.
  4. Settled all financial obligations to the University.

Course Requirements

36 units required  

Diploma in Applied Artificial Intelligence Program Curriculum 

Courses Units Number of Classes
Program Required Courses
24
6
Elective Courses
9
3

Total

128

32

Program Required Courses: A total of 36 units is required (9 courses x 4 units each)  

Diploma In Applied AI Core Curriculum Courses

Diploma in Applied AI students must complete all 6 required courses in this curriculum.  

Course Code Course Name Units Prerequisites
AAI351
Introduction to Practical AI and Generative AI
4
AAI352
Prompt Engineering and Practical Data Applications
4
AAI353
AI Vibe Coding Practicum for Non-Majors
4
AAI354
Business Automation and AI Agent Design
4
AAI351
AAI355
Industry-Specific AI Technology Trends and Ethics & Security Guidelines
4
AAI351
AAI356
AI Applied Engineer Capstone Project
4
AAI351

Elective Course- 9 units required (Choose 3 course x 4 units)

Course Code Course Name Units Prerequisites
AAI371
AI-Based Media and Content Production
4
AAI351
AAI372
Workflow AI Integration for Productivity Innovation
4
AAI351
AAI373
AI Applications for Professional Sectors (Law & Business)
4
AAI351
AAI374
Applied AI for Business Data Analytics
4
AAI351
AAI375
Predictive Modeling and AI Forecasting Applications
4
AAI351
AAI376
AI for Strategic Decision Intelligence
4
AAI351
AAI377
AI Applications in Healthcare Administration
4
AAI351
AAI378
AI-Enhanced Learning Systems and Educational Technology
4
AAI351
AAI379
AI for Public Policy, Governance, and Social Innovation
4
AAI351

Electives are offered at Stanton University, with new courses developed each year. The electives are designed to reflect students’ interests.

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