Professional Data Engineer

Service Description

Google Cloud Professional Data Engineer certification is one of the most AI-relevant certifications on Google Cloud. It focuses on designing, building, operationalizing, and managing data and ML pipelines. If you're serious about working with AI, ML, or generative AI, this certification gives you deep, practical knowledge across the full AI lifecycle—from data ingestion to model deployment. Majority of AI solutions globally are cloud-native or cloud-supported since Ai data is in the cloud. This Essential Certification will empower you with following learning - 1. Build real-time and batch data pipelines using tools like Cloud Dataflow, Apache Beam, and Pub/Sub 2. Design feature stores and training datasets for machine learning models 3. Engineer data pipelines that feed directly into Vertex AI for model training You will explore following - 1. BigQuery ML – for training and deploying ML models using SQL 2. Vertex AI – for end-to-end machine learning workflows: training, tuning, deploying, monitoring 3. DataPrep, Cloud Storage, and Data Catalog – for cleaning, managing, and discovering data This Essential Certification from Google is designed to help you in - 1. How to evaluate model performance using ROC, AUC, precision, recall 2. Automate model training using hyperparameter tuning in Vertex AI 3. Monitor model drift, quality, and fairness in production environments 4. Pipelines that deliver training and inference data at scale 5. Infrastructure that supports ML at scale using BigQuery, Cloud Composer, and Cloud Functions 6. Streaming solutions for real-time ML use cases (e.g., fraud detection, IoT) 7. Best practices for data privacy, security, and compliance (e.g., PII masking, encryption) 8. Bias detection and mitigation in ML models 9. Data lineage and metadata tracking using Data Catalog and Audit Logs Google Cloud Professional Data Engineer certification empowers you with core technical and architectural skills needed to support AI and machine learning across the entire data lifecycle. It’s one of the best AI-enabler certifications available—especially if you want to work in data science, ML engineering, or AI operations on GCP. Category Advanced Exam duration 120 minutes Link for Exam Registration - https://cp.certmetrics.com/google/en/login Certification Exam Cost - 200 USD Exam Format - Online-proctored or onsite-proctored Karamchaari.ai Exam Pass Success Rate - 100% in Your 1st Attempt