Master Google Cloud: Big Data & AI Fundamentals 2024
Focused View
2:24:46
1. Meet the author.mp4
01:36
2. Course introduction.mp4
04:06
01. Introduction.mp4
02:09
02. Google Cloud infrastructure.mp4
02:18
03. Compute.mp4
05:38
04. Storage.mp4
05:43
05. The history of big data and ML products.mp4
04:20
06. Big data and ML product categories.mp4
02:32
07. Customer example - Gojek.mp4
03:58
08. Lab introduction - Exploring a BigQuery Public Datas.mp4
00:46
10. Summary.mp4
01:15
01. Introduction.mp4
02:50
02. Big data challenges.mp4
02:00
03. Message-oriented architecture.mp4
04:56
04. Designing streaming pipelines with Apache Beam.mp4
02:16
05. Implementing streaming pipelines on Cloud Dataflow.mp4
03:35
06. Visualization with Looker.mp4
02:58
07. Visualization with Looker Studio.mp4
01:27
08. Lab introduction - Creating a streaming data pipeline for a Re.mp4
00:50
10. Summary.mp4
01:05
01. Introduction.mp4
05:41
02. Storage and analytics.mp4
03:50
03. Demo - Querying TB of data in seconds.mp4
07:05
04. Introduction to BigQuery ML.mp4
04:24
05. Using BigQuery ML to predict customer lifetime value.mp4
04:36
06. BigQuery ML project phases.mp4
02:01
07. BigQuery ML key commands.mp4
03:25
08. Lab introduction - Predict Visitor Purchases with BigQuery ML.mp4
00:36
10. Summary.mp4
01:42
1. Introduction.mp4
02:29
2. Options to build ML models.mp4
03:43
3. Pre-built APIs.mp4
02:12
4. AutoML.mp4
06:53
5. Custom training.mp4
01:19
6. Vertex AI.mp4
03:50
7. AI Solutions.mp4
02:20
8. Summary.mp4
02:00
01. Introduction.mp4
05:45
02. Data preparation.mp4
03:22
03. Model training.mp4
03:58
04. Model evaluation.mp4
04:56
05. Model deployment and monitoring.mp4
03:44
06. Lab introduction - Predicting loan risk with AutoML.mp4
00:33
08. Lab recap - Predicting loan risk with AutoML.mp4
03:04
09. Summary.mp4
00:43
1. Course summary.mp4
04:17
More details
Course Overview
This comprehensive course introduces Google Cloud's big data and machine learning products, guiding you through the complete data-to-AI lifecycle. Learn to build pipelines and ML models with Vertex AI through hands-on labs and real-world examples.
What You'll Learn
- Google Cloud infrastructure for big data and ML
- Designing and implementing streaming data pipelines
- Building predictive models with BigQuery ML and Vertex AI
Who This Is For
- Data engineers exploring cloud solutions
- ML practitioners transitioning to Google Cloud
- Tech professionals seeking big data certification
Key Benefits
- Hands-on experience with real datasets
- Learn industry best practices from Google experts
- Master tools like Dataflow, BigQuery, and Vertex AI
Curriculum Highlights
- Big Data and ML on Google Cloud
- Data Engineering for Streaming Data
- BigQuery ML and Vertex AI Workflows
Focused display
Category
- language english
- Training sessions 46
- duration 2:24:46
- level preliminary
- English subtitles has
- Release Date 2025/06/07
