Oakland University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

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+)