Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
Overview of AutoML Features and Architecture
- Google’s ML ecosystem
- AutoML product line
Working With Google’s Machine Learning Ecosystem
- Use cases for AutoML products
- Potential challenges and limitations
Evaluating Content Using AutoML Natural Language
- Dataset preparation
- Model creation and deployment
- Training for text and documents (classification, extraction, analysis)
Classifying Images Using AutoML Vision
- Image labeling
- Model training and evaluation
- AutoML Vision Edge
Creating Translation Models Using AutoML Translation
- Dataset preparation (source and target languages)
- Model creation and management
- Model testing
Making Predictions from Trained Models
- Document analysis
- Image prediction
- Content translation
Exploring Other AutoML Products
- AutoML Tables for structured data
- AutoML Video Intelligence for videos
Troubleshooting
Summary and Conclusion
Requirements
- Fundamental understanding of data analytics
- Working knowledge of machine learning
Target Audience
- Data scientists
- Data analysts
- Developers
7 Hours
Testimonials (3)
The final day which is the Machine Learning Topic
John Erick Baltazar - Globe Telecom
Course - Google BigQuery
It was a really good training course, well prepared and explained by the trainer with great hands on experience on GCP.
Mircea
Course - Google Cloud Platform Basics and Management
Responses with solutions and practical use.
