| 01 - Course overview.mp4 | 3.5 MB | ||
| 01 - Course overview.srt | 3.2 KB | ||
| 01 - Data engineering pipelines.mp4 | 6 MB | ||
| 01 - Data engineering pipelines.srt | 5.5 KB | ||
| 01 - Demo Google Cloud Shell.mp4 | 7.9 MB | ||
| 01 - Demo Google Cloud Shell.srt | 7.2 KB | ||
| 01 - Google Colab with TensorFlow Hub.mp4 | 5.8 MB | ||
| 01 - Google Colab with TensorFlow Hub.srt | 5 KB | ||
| 01 - Google Professional Data Engineer course overview.mp4 | 9.3 MB | ||
| 01 - Google Professional Data Engineer course overview.srt | 6.3 KB | ||
| 01 - Integrated data security.mp4 | 6.3 MB | ||
| 01 - Integrated data security.srt | 4.9 KB | ||
| 01 - Jack and the Beanstalk as a data pipeline.mp4 | 5.6 MB | ||
| 01 - Jack and the Beanstalk as a data pipeline.srt | 5.4 KB | ||
| 01 - Next steps.mp4 | 7.2 MB | ||
| 01 - Next steps.srt | 6.3 KB | ||
| 01 - Open-source vs. Google Cloud managed services.mp4 | 4.8 MB | ||
| 01 - Open-source vs. Google Cloud managed services.srt | 4.1 KB | ||
| 01 - Overview GCP storage.mp4 | 4.2 MB | ||
| 01 - Overview GCP storage.srt | 3.4 KB | ||
| 01 - Plan-do-check-act methodology.mp4 | 8.7 MB | ||
| 01 - Plan-do-check-act methodology.srt | 6.1 KB | ||
| 01 - PyTorch pretrained model overview.mp4 | 9 MB | ||
| 01 - PyTorch pretrained model overview.srt | 5.7 KB | ||
| 01 - The challenges of big data.mp4 | 3 MB | ||
| 01 - The challenges of big data.srt | 3.5 KB | ||
| 01 - Using Bard to enhance productivity.mp4 | 14.5 MB | ||
| 01 - Using Bard to enhance productivity.srt | 10.2 KB | ||
| 01 - Using Google machine learning courses.mp4 | 8.9 MB | ||
| 01 - Using Google machine learning courses.srt | 5.5 KB | ||
| 01 - What is distroless.mp4 | 5.1 MB | ||
| 01 - What is distroless.srt | 4.1 KB | ||
| 02 - Compare compute offerings.mp4 | 4.1 MB | ||
| 02 - Compare compute offerings.srt | 4.2 KB | ||
| 02 - Copilot-enabled Rust.mp4 | 25.4 MB | ||
| 02 - Copilot-enabled Rust.srt | 16.6 KB | ||
| 02 - Demo Build and deploy Rust Microservice Cloud Run.mp4 | 17 MB | ||
| 02 - Demo Build and deploy Rust Microservice Cloud Run.srt | 12.3 KB | ||
| 02 - Demo Extending GCP Cloud Functions.mp4 | 20.4 MB | ||
| 02 - Demo Extending GCP Cloud Functions.srt | 17.1 KB | ||
| 02 - Demo Google Cloud Editor.mp4 | 11.7 MB | ||
| 02 - Demo Google Cloud Editor.srt | 7.7 KB | ||
| 02 - Demo Load testing with Locust.mp4 | 12.3 MB | ||
| 02 - Demo Load testing with Locust.srt | 9.7 KB | ||
| 02 - Demo PyTorch pretrained model.mp4 | 20.2 MB | ||
| 02 - Demo PyTorch pretrained model.srt | 11.9 KB | ||
| 02 - Google Cloud storage strategy.mp4 | 9.8 MB | ||
| 02 - Google Cloud storage strategy.srt | 6.3 KB | ||
| 02 - Next steps.mp4 | 2.5 MB | ||
| 02 - Next steps.srt | 2.3 KB | ||
| 02 - Onboard to GCP.mp4 | 20 MB | ||
| 02 - Onboard to GCP.srt | 14.3 KB | ||
| 02 - Optimize for GCP database solutions.mp4 | 12.9 MB | ||
| 02 - Optimize for GCP database solutions.srt | 6.2 KB | ||
| 02 - Pros and cons of open-source data engineering tools.mp4 | 12.5 MB | ||
| 02 - Pros and cons of open-source data engineering tools.srt | 8.6 KB | ||
| 02 - Understand Rust crate audits by Google.mp4 | 7 MB | ||
| 02 - Understand Rust crate audits by Google.srt | 5.2 KB | ||
| 02 - Using GCP NLP from the CLI.mp4 | 11.4 MB | ||
| 02 - Using GCP NLP from the CLI.srt | 7.3 KB | ||
| 03 - Continuous integration with Rust and GitHub actions.mp4 | 15.9 MB | ||
| 03 - Continuous integration with Rust and GitHub actions.srt | 11.9 KB | ||
| 03 - Data pipeline triggers.mp4 | 4.8 MB | ||
| 03 - Data pipeline triggers.srt | 4.2 KB | ||
| 03 - Demo App Engine Rust deploy.mp4 | 12 MB | ||
| 03 - Demo App Engine Rust deploy.srt | 8.2 KB | ||
| 03 - Demo Compute volatility on GCP.mp4 | 7.4 MB | ||
| 03 - Demo Compute volatility on GCP.srt | 5.3 KB | ||
| 03 - Demo Google CLI SDK.mp4 | 14.2 MB | ||
| 03 - Demo Google CLI SDK.srt | 10.2 KB | ||
| 03 - Google Cloud analytics services.mp4 | 6.7 MB | ||
| 03 - Google Cloud analytics services.srt | 4 KB | ||
| 03 - MLOps on GCP.mp4 | 30.9 MB | ||
| 03 - MLOps on GCP.srt | 14.5 KB | ||
| 03 - Prompt engineering for BigQuery.mp4 | 22.4 MB | ||
| 03 - Prompt engineering for BigQuery.srt | 13.6 KB | ||
| 03 - The Rust language is secure by design.mp4 | 9.8 MB | ||
| 03 - The Rust language is secure by design.srt | 8.4 KB | ||
| 03 - Understanding TPUs.mp4 | 15.9 MB | ||
| 03 - Understanding TPUs.srt | 8.2 KB | ||
| 04 - Demo Google gcloud CLI tool.mp4 | 9.5 MB | ||
| 04 - Demo Google gcloud CLI tool.srt | 7.9 KB | ||
| 04 - Demo unit test Rust.mp4 | 14.2 MB | ||
| 04 - Demo unit test Rust.srt | 10.5 KB | ||
| 04 - TPUs as part of technology transition.mp4 | 8 MB | ||
| 04 - TPUs as part of technology transition.srt | 6.5 KB | ||
| 04 - Using Google BigQuery with Google Colab.mp4 | 13.9 MB | ||
| 04 - Using Google BigQuery with Google Colab.srt | 9.8 KB | ||
| 05 - Energy efficiency of Python vs. Rust.mp4 | 14.2 MB | ||
| 05 - Energy efficiency of Python vs. Rust.srt | 9.3 KB | ||
| 05 - Exploring data with Google BigQuery.mp4 | 29.8 MB | ||
| 05 - Exploring data with Google BigQuery.srt | 21.5 KB | ||
| 05 - Getting started with Vertex AI.mp4 | 7.4 MB | ||
| 05 - Getting started with Vertex AI.srt | 4.7 KB | ||
| 05 - Storage comparison.mp4 | 7.6 MB | ||
| 05 - Storage comparison.srt | 6.7 KB | ||
| 06 - Using GCP ML API vision from CLI.mp4 | 9.3 MB | ||
| 06 - Using GCP ML API vision from CLI.srt | 6.7 KB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 107 total files | |||
Google Cloud Professional Data Engineer Cert Prep
https://WebToolTip.com
Released 05/2025
With Noah Gift
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 4h 6s | Size: 564 MB
Prepare for the Google Cloud Professional Data Engineer certification exam and enhance your data engineering skills with tools like BigQuery, Cloud Functions, and Vertex AI.
Course details
Embark on the path towards becoming a Google Professional Data Engineer through this certification course. Industry expert Noah Gift shows you how to design robust data processing systems using Google Cloud's top services like BigQuery and Cloud Functions. Explore the nuances of data storage technologies, including BigTable, Firestore, and Spanner, and make informed decisions based on business and data requirements. Discover prebuilt machine learning models, effective integration methods, and the fundamentals of ML pipeline deployment and monitoring. Gain insights into ensuring solution quality with advanced topics on scalability, flexibility, and security, leveraging Rust for secure and high-performance microservices. With an emphasis on hands-on learning and cutting-edge AI programming assistants, this course shows you how to build efficient, scalable, and secure data solutions that meet the needs of modern businesses.
This course was created by Noah Gift. We are pleased to host this training in our library.
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