Artificial Intelligence Applications is a hands-on, no-programming-required course using real datasets from AWS and Microsoft to solve problems across business, science, and communications.
What ARIN 320 covers
(No programming or math background required.) An interactive, hands-on study of current artificial intelligence (AI) applications spanning multiple disciplines and domains, including business, science, communications, and computing. The goal is to use datasets with AI and machine learning applications from leading cloud vendors, including Amazon and Microsoft.
Projects and laboratory exercises demonstrate how AI can be used to solve problems across a wide variety of disciplines.
Typical ARIN 320 assignments
Expect a hands-on lab exercise requiring you to use a specific AWS or Microsoft AI/ML dataset tool to solve a problem in a given discipline.
Key topics in ARIN 320
- Cloud vendor AI/ML datasets (AWS, Microsoft)
- Cross-disciplinary AI applications
- Hands-on AI lab exercises
- No-code AI problem-solving
Writing tips for ARIN 320
Follow the assignment instructions and rubric line by line
UMGC assignments for ARIN 320 are graded against a specific rubric or grading criteria your instructor provides — every requirement has to be visibly addressed. Skipping a requirement because it seems minor is one of the most common reasons a strong submission loses points.
Ground AI concepts in a specific, real application
Artificial Intelligence courses like ARIN 320 rarely reward describing AI capabilities in the abstract — evaluators want to see a specific application, dataset, or business problem the AI concept is actually being applied to, with the reasoning shown.
Address ethics, bias, or regulation explicitly where relevant
Both the AI and drone tracks at UMGC consistently grade whether ethical, bias, privacy, or regulatory considerations are addressed explicitly — a technically sound solution that ignores these dimensions is one of the most common ways students lose points.
Stuck on your ARIN 320 assignment?
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Why students seek help with ARIN 320
Students sometimes describe AI application possibilities without the hands-on dataset/tool work the lab specifically requires — the rubric typically wants that hands-on lab evidence shown, not conceptual description alone.
How GradeEssays helps with ARIN 320
Share your lab assignment and rubric, and your writer will help document the hands-on AWS/Microsoft AI tool work your lab requires.
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Place Your Order View All ServicesPrerequisites and course context
ARIN 320 has no prerequisites and requires no programming or math background. Note: students may receive credit for only one of ARIN 320 or CMSC 307.
Related courses
Frequently asked questions
No — the catalog explicitly states no programming or math background is required, since the course is a hands-on, applied study of AI applications using existing cloud-vendor tools.
Students may receive credit for only one of ARIN 320 or CMSC 307, since they cover the same AI applications content.