My PlannerExplore and compare past grades, professor ratings, and reviews to find the perfect class.
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
AWS Cloud Analytics
MIS 6347
Naveen Jindal School of Management
This course integrates data engineering, machine learning, and AI services to build enterprise analytics platforms. Students will create data pipelines for ingesting, storing, processing, and visualizing batch and streaming data. The course covers selecting and applying machine learning models, including foundation models and LLMs, to solve business problems. Through hands-on labs, students will model, build, train, and deploy custom ML models and AI algorithms. Aligned with AWS Data Engineering and Machine Learning certifications, this course prepares students to lead data-driven AI initiatives. 3 credit hours.
Offering Frequency: Fall
Grades: 34
Median GPA: A-
Mean GPA: 3.520
Click a checkbox to add something to compare.
AWS Cloud Analytics
MIS 6347
Naveen Jindal School of Management
This course integrates data engineering, machine learning, and AI services to build enterprise analytics platforms. Students will create data pipelines for ingesting, storing, processing, and visualizing batch and streaming data. The course covers selecting and applying machine learning models, including foundation models and LLMs, to solve business problems. Through hands-on labs, students will model, build, train, and deploy custom ML models and AI algorithms. Aligned with AWS Data Engineering and Machine Learning certifications, this course prepares students to lead data-driven AI initiatives. 3 credit hours.
Offering Frequency: Fall
Grades: 34
Median GPA: A-
Mean GPA: 3.520
Click a checkbox to add something to compare.
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
MIS 6347 (Overall) | |||||
A- | |||||
MIS 6347 Judd Bradbury | |||||
A- | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
MIS 6347 (Overall) | |||||
A- | |||||
MIS 6347 Judd Bradbury | |||||
A- | |||||