Machine Learning on Google Cloud Specialization Certificate

By Google Cloud on Coursera

For this Specialization Certificate I had to complete these 5 courses by Google Cloud:

• How Google does Machine Learning
• Launching into Machine Learning
• TensorFlow on Google Cloud
• Feature Engineering
• Machine Learning in the Enterprise

Topics

• Machine Learning Models using Keras and TensorFlow
• Keras Sequential and Functional APIs for Model Creation
• Use Vertex AI AutoML and BigQuery ML to build, train, and deploy ML models
• Vertex AI - Train, Deploy, and Productionalize ML Models at Scale
• Google Cloud Vertex AI Feature Store
• Feature Engineering using BigQuery ML, Keras, and TensorFlow
• Preprocessing and Exploration of Features with Dataflow and Dataprep
• Machine Learning Enterprise Implementation Best Practices

Hands-on Labs:

This specialization has a large amount of hands-on labs, so I could practice directly in Google Cloud. Here are some of the labs:

• TensorFlow Dataset API
• Classifying structured data using Keras preprocessing layers
• Introducing the Keras Sequential API on Vertex AI Platform
• Build a DNN using the Keras Functional API on Vertex AI Platform
• Training at scale with the Vertex AI Training Service
• Performing Basic Feature Engineering in BigQuery ML
• Advanced Feature Engineering in Keras
• Exploring tf.transform
• Exploring and Creating an Ecommerce Analytics Pipeline with Cloud Dataprep
• Vertex AI: Custom Training Job and Prediction Using Managed Datasets
• Vertex AI: Hyperparameter Tuning
• Vertex AI Model Monitoring
• Running Pipelines on Vertex AI 2.5