Oakland University
Certificate in Data Analytics and Machine Learning on Cloud
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $11.4K in total tuition, the Certificate in Data Analytics and Machine Learning on Cloud sits roughly 0% below the $11.4K average for AI certificate programs in our database β placing it in the 63rd percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, statistics, engineering, or a related field with a minimum GPA of 3.0 is required; relevant programming or analytics experience is often preferred.
About This Program
This 7-week online certificate program equips engineers and working professionals with foundational skills in cloud-based machine learning. Coursework concentrates on MLOps/AI Engineering and Deep Learning. Most students complete it in about 0.13 years.
Estimated total tuition is $11.4K, below the $11.4K average for AI certificate programs in our database and in the 63rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $115,000.
Career Outcomes
Gain machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI
- 1. Data Analytics Engineer
- 2. Machine Learning Specialist
- 3. Cloud Data Scientist
- 4. Business Intelligence Analyst
What You'll Learn
- Apply machine learning models to real-world datasets for predictive analytics.
- Deploy scalable data pipelines and analytics workflows on cloud platforms.
- Perform advanced data processing and visualization for actionable insights.
- Optimize ML algorithms for performance in cloud environments.
Curriculum Highlights
The program is organized into three modules covering Python basics, TensorFlow model building, and cloud environment deployment.
Top Employers
Top employers include tech firms like Google, Amazon, Microsoft, and IBM for cloud analytics and ML roles.
Admissions
A bachelor's degree in computer science, statistics, engineering, or a related field with a minimum GPA of 3.0 is required; relevant programming or analytics experience is often preferred.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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