Professional ML Engineer

Service Description

Google Cloud Professional Machine Learning Engineer certification is one of the most direct and comprehensive certifications for AI knowledge offered by Google. It validates your ability to design, build, productionize, and maintain ML models on Google Cloud, particularly using the Vertex AI platform and integrated GCP services.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. ML theory: supervised, unsupervised, and deep learning models 2. Key evaluation metrics: accuracy, precision, recall, ROC-AUC, loss functions 3. When to use different models: regression, classification, clustering, neural networks, etc. You will explore following - 1. Vertex AI Workbench for building and training models 2. Vertex AI Pipelines for automating workflows 3. Vertex AI Endpoints for scalable and secure model deployment 4. Vertex AI Feature Store and Model Monitoring This Essential Certification from Google is designed to help you in - 1. Automate training, testing, and deployment with CI/CD for ML 2. Use TensorFlow Extended (TFX) for building scalable ML pipelines 3. Implement versioning, drift detection, and rollback strategies 4. Hyperparameter tuning, model compression, and performance optimization 5. Using Vertex Explainable AI to interpret model decisions 6. Implementing fairness and bias detection in ML pipelines 7. Protect data pipelines and models using IAM, encryption, and data lineage 8. Work with sensitive datasets and ensure compliance (GDPR, HIPAA) 9. Monitor and audit model behavior post-deployment 10. Use pretrained models and transfer learning via Vertex AI 11. Call Google AI APIs (Vision, NLP, Translation, etc.) from apps 12. Begin integrating with generative AI tools and pipelines Google Cloud ML Engineer certification is one of the most AI-focused, hands-on, and production-oriented certifications available. It teaches you to design, build, evaluate, optimize, and deploy machine learning models—making it ideal for anyone serious about an AI career on GCP or across hybrid cloud platforms. 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 How Does Karamchaari.ai help you Vs. Others - 1. Train, help with certification on practical knowledge & troubleshooting on Ai platform