Content

The course includes presentations, demonstrations, and hands-on labs.

Module 1: Understanding the Professional Data Engineer Certification

• Position the Professional Data Engineer certification among the offerings.
• Distinguish between Associate and Professional.
• Provide guidance between Professional Data Engineer and Associate Cloud Engineer.
• Describe how the exam is administered and the exam rules.
• Provide general advice about taking the exam.

Module 2: Designing Data Processing Systems

• Designing data processing systems.
• Designing flexible data representations.
• Designing data pipelines.
• Designing data processing infrastructure.

Module 3: Building and Operationalizing Data Processing Systems

• Building and operationalizing data structures and databases.
• Building and operationalizing flexible data representations.
• Building and operationalizing pipelines.
• Building and operationalizing processing infrastructure.

Module 4: Operationalizing Machine Learning Models

• Analyzing data and enabling machine learning.
• Deploying an ML pipeline.
• Machine learning terminology review.
• Operationalizing Machine Learning Models: Exam Guide Review.
• Modeling business processes for analysis and optimization.

Module 5: Security, Policy, and Reliability

• Designing for security and compliance.
• Performing quality control.
• Ensuring reliability.
• Visualizing data and advocating policy.
• Ensuring Solution Quality: Exam Guide Review.

Module 6: Resources and Next Steps

• Debrief.
• Preparation Resources.