Master Enterprise ML: Vertex AI & Custom Models 2024
Focused View
2:04:00
1. Course introduction.mp4
01:47
1. Introduction.mp4
00:26
2. Overview of an ML enterprise workflow.mp4
05:41
01. Introduction.mp4
00:29
02. Feature Store.mp4
07:13
03. Data Catalog.mp4
02:40
04. Dataplex.mp4
04:54
05. Analytics Hub.mp4
04:10
06. Data preprocessing options.mp4
03:22
07. Dataprep.mp4
06:00
08. Lab intro - Exploring and Creating an Ecommerce Analytics Pipeline with Dataprep.mp4
00:12
01. Introduction.mp4
00:30
02. The art and science of machine learning.mp4
06:54
03. Make training faster.mp4
08:05
04. When to use custom training.mp4
05:06
05. Training requirements and dependencies (part 1).mp4
09:02
06. Training requirements and dependencies (part 2).mp4
03:36
07. Training custom ML models using Vertex AI.mp4
02:22
1. Introduction.mp4
00:24
2. Vertex AI Vizier hyperparameter tuning.mp4
16:30
3. Lab intro - Vertex AI - Hyperparameter Tuning.mp4
00:22
1. Introduction.mp4
00:45
2. Predictions using Vertex AI.mp4
06:32
3. Model management using Vertex AI.mp4
08:25
4. Lab intro - Monitoring Vertex AI Models.mp4
00:21
1. Introduction.mp4
00:26
2. Prediction using Vertex AI pipelines.mp4
03:44
3. Lab intro - Vertex AI Pipelines.mp4
00:45
2. Best practices for model deployment and serving.mp4
02:10
3. Best practices for model monitoring.mp4
02:36
4. Vertex AI pipeline best practices.mp4
03:46
5. Best practices for artifact organization.mp4
01:54
1. Series summary.mp4
02:51
More details
Course Overview
This practical course teaches enterprise machine learning workflows using Google Cloud's Vertex AI, covering data preprocessing, model building with AutoML/BigQuery ML/custom training, and production deployment.
What You'll Learn
- Implement complete ML workflows for enterprise use cases
- Choose between AutoML, BigQuery ML and custom training approaches
- Deploy and monitor models using Vertex AI pipelines
Who This Is For
- ML engineers building production-grade models
- Data scientists transitioning to enterprise ML
- Cloud architects implementing ML solutions
Key Benefits
- Hands-on experience with Vertex AI and Google Cloud ML tools
- Learn professional model tuning and monitoring techniques
- Master enterprise ML best practices for real-world deployment
Curriculum Highlights
- Enterprise ML Workflows and Data Management
- Custom Model Training with Vertex AI
- Production Deployment and Monitoring
Focused display
Category
- language english
- Training sessions 33
- duration 2:04:00
- level preliminary
- English subtitles has
- Release Date 2025/05/10
