Data Engineering on Google Cloud Platform
The Data Engineering on the Google Cloud Platform course will prepare one to create data loading & transformation pipelines and apply machine learning algorithms with TensorFlow to the processed data. It will also enable candidates to assess the most appropriate user-facing tool for end-users.
Course Outline
Making Sense of Unstructured Data with Google’s Machine Learning APIs
- Module 1: Google Cloud Dataproc Overview
- Module 2: Running Dataproc Jobs
- Module 3: Integrating Dataproc with Google Cloud Platform
- Module 4: Making Sense of Unstructured Data with Google’s Machine Learning APIs
Serverless Data Analysis with Google BigQuery and Cloud Dataflow
- Module 5: Serverless data analysis with BigQuery
- Module 6: Serverless, autoscaling data pipelines with Dataflow
Serverless Machine Learning with TensorFlow on Google Cloud Platform
- Module 7: Getting started with Machine Learning
- Module 8: Building ML models with Tensorflow
- Module 9: Scaling ML models with CloudML
- Module 10: Feature Engineering
Building Resilient Streaming Systems on Google Cloud Platform
- Module 11: Architecture of streaming analytics pipelines
- Module 12: Ingesting Variable Volumes
- Module 13: Implementing streaming pipelines
- Module 14: Streaming analytics and dashboards
- Module 15: High throughput and low latency with Bigtable
Please contact us for any queries via phone or our contact form. We will be happy to answer your questions.
3 Appian Place,373 Kent Ave
Ferndale,
2194 South Africa
Tel: +2711-781 8014 (Johannesburg)
+2721-020-0111 (Cape Town)
ZA
Ferndale,
2194 South Africa
Tel: +2711-781 8014 (Johannesburg)
+2721-020-0111 (Cape Town)
ZA
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