Google Cloud Professional Data Engineer (GCP-PDE-201)

Unlock your data expertise with our comprehensive "Google Cloud Certified Professional Data Engineer" training course, crafted to prepare you for the official Google Cloud certification exam. This intensive program empowers you to design, build, and manage robust data processing systems on Google Cloud Platform (GCP). From architecting data pipelines to leveraging machine learning, you’ll gain the skills to transform raw data into actionable insights, positioning you as a leader in the data engineering field.

What You'll Learn:

• Data Pipeline Design: Architect scalable and reliable data pipelines using Dataflow, Dataproc, and Pub/Sub.
• Data Storage Solutions: Master storage options like BigQuery, Cloud Storage, and Cloud SQL for diverse data needs.
• Machine Learning Integration: Build and deploy ML models with AI Platform and BigQuery ML.
• Data Security: Implement encryption, IAM, and access controls to secure data workflows.
• Performance Optimization: Optimize data processing for cost, speed, and scalability.
• Monitoring and Troubleshooting: Use Cloud Monitoring and Logging to ensure data system reliability.
• Hands-on Labs and Exam Prep: Gain practical experience with real-world scenarios and exercises tailored to the Professional Data Engineer exam.

Who Should Attend:

• Data Engineers: Elevate your skills in designing and managing GCP data solutions.
• Data Analysts: Transition into engineering roles with advanced data processing expertise.
• Cloud Professionals: Specialize in data engineering on Google Cloud.
• Developers: Learn to build data pipelines and integrate ML into applications.
• Anyone preparing for the Professional Data Engineer certification.

Prerequisites:

• Experience with data processing or database systems.
• Familiarity with GCP fundamentals (e.g., from Core Infrastructure training).
• Basic programming knowledge (e.g., Python, SQL) recommended.

Benefits of Attending:

• Earn a globally recognized Google Cloud data engineering certification.
• Advance your career with in-demand data engineering skills.
• Design and manage cutting-edge data solutions on GCP.
• Learn from expert instructors with real-world data experience.
• Receive comprehensive training materials and exam-focused resources.

Course Outline:

• Module 1: Introduction to Data Engineering on GCP
  • Role of a Professional Data Engineer
  • Overview of GCP data services
  • Data engineering lifecycle and best practices
• Module 2: Data Storage and Ingestion
  • Managing Cloud Storage and BigQuery
  • Ingesting data with Cloud Pub/Sub and Data Transfer
  • Choosing relational vs. non-relational storage
• Module 3: Building Data Pipelines
  • Designing pipelines with Dataflow
  • Processing big data with Dataproc
  • Automating workflows with Cloud Composer
• Module 4: Data Transformation and Analysis
  • Querying and analyzing data with BigQuery
  • Transforming data with Dataflow and SQL
  • Visualizing insights with Looker Studio
• Module 5: Machine Learning on GCP
  • Building ML models with AI Platform
  • Using BigQuery ML for predictive analytics
  • Deploying and managing ML workflows
• Module 6: Security and Governance
  • Implementing IAM and data encryption
  • Managing data access and compliance
  • Auditing data operations
• Module 7: Optimization and Monitoring
  • Optimizing data costs and performance
  • Monitoring pipelines with Cloud Monitoring
  • Troubleshooting data processing issues
• Module 8: Exam Preparation
  • Review of exam domains and objectives
  • Practice with sample scenarios and questions
  • Strategies for certification success

Course Code: GCP-PDE-201