Artificial Intelligence and Machine Learning Foundations is the graduate-level AI course shared by both MS CS specializations — the historical, technical, and ethical foundation everything else in the AI/ML track builds on.
What D797 covers
The course explores foundational AI/ML concepts and practical applications, covering the historical context and evolution of AI and its growth phases, investigating computational theories and logical frameworks, and examining how hardware advances enabled the leap to deep learning.
The course emphasizes AI/ML practicalities, data integrity, and data wrangling techniques, incorporating societal implications and ethical considerations of AI and ML.
The D797 performance assessment
Expect a performance assessment requiring you to analyze an AI/ML application's technical foundation and its societal/ethical implications together.
Key topics in D797
- History and evolution of AI/ML
- Computational theories and logical frameworks
- Data integrity and data wrangling
- Societal and ethical implications of AI/ML
Writing tips for D797
Follow the task instructions and rubric line by line
WGU performance assessments for D797 are graded against a fixed rubric — every rubric line has to be visibly addressed, usually with a labeled heading that mirrors the rubric language. Skipping a rubric point because it seems minor is the single most common reason a competent submission comes back "Not Yet Competent" for revision.
Show your work: code, reasoning, and test results, not just a final answer
WGU evaluators are trained to distinguish genuine technical work from a paraphrased summary. Include your actual code, algorithmic reasoning, and test/benchmark results, not just a description of what you built — a rubric checking technical competency wants to see the artifact and the thinking behind it.
Because WGU is self-paced, don't let "no deadline pressure" become no submission
There's no weekly due date forcing progress, which means procrastination costs more at WGU than at a traditional term-based school — a stalled task can quietly eat weeks of a term. Treat your own target date for each D797 assessment as a real deadline.
Stuck on your D797 task?
Our writers know WGU's competency-based format and this course's performance assessment. Get an original, properly cited paper matched to your task instructions.
Why students seek help with D797
Students sometimes address only the technical foundation without the societal/ethical analysis the course explicitly requires — a complete response covers both dimensions.
How GradeEssays helps with D797
Share your AI/ML scenario and rubric, and your writer will build both the technical foundation analysis and the societal/ethical considerations the course requires.
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Share your task instructions and rubric and we match you with a writer who knows this course and WGU's evaluation standards.
Place Your Order View All ServicesPrerequisites and program context
D797 has no prerequisites.
- Bachelor of Science, Computer Science (BSCS to MSCS)
- Master of Science, Computer Science, Artificial Intelligence and Machine Learning
- Master of Science, Computer Science, Human-Computer Interaction