GCP: Complete Google Data Engineer and Cloud Architect Guide
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
4.07 (7360 reviews)
50 301
students
28 hours
content
Jul 2018
last update
$94.99
regular price
What you will learn
Deploy Managed Hadoop apps on the Google Cloud
Build deep learning models on the cloud using TensorFlow
Make informed decisions about Containers, VMs and AppEngine
Use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub
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Our Verdict
While some reviewers have reported issues with outdated lab materials and difficulties synchronizing video playback, the "GCP: Complete Google Data Engineer and Cloud Architect Guide" course offers invaluable insights into Google Cloud Platform (GCP) and various data engineering tools for machine learning, making it a highly recommended resource especially for learners seeking fundamental understanding of GCP.
What We Liked
- The course provides a comprehensive overview of Google Cloud Platform (GCP), with a focus on data engineering and machine learning using TensorFlow.
- Instructor Janani Ravi is praised for her engaging teaching style, making complex concepts accessible to learners at various levels.
- The course includes real-world scenarios and examples, enabling students to grasp the practical implications of GCP tools and services.
- Detailed explanations and tutorials are offered for niche features and technologies, offering a well-rounded learning experience.
Potential Drawbacks
- Some lab exercises may appear outdated or contain broken code snippets, posing challenges for learners attempting to complete the labs.
- A few reviewers mention issues related to app synchronization on Chromecast, causing inconvenience during video playback.
- Some users express difficulty understanding certain instructors' accents.
- The course material is not consistently up-to-date with current exam topics for GCP certifications.
1299656
udemy ID
21/07/2017
course created date
16/07/2019
course indexed date
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