- Course Series Preview
- Course introduction
Beginner
Online
3 Weeks
Free
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
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Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course and certificate fees
Type of course
certificate availability
certificate providing authority
The syllabus
Week 1: Introduction to Course and Series
Video
Week 1: What It Means to be AI-First
Video
- Introduction
- What is ML?
- What kinds of problems can it solve?
- Lab intro: Framing a machine learning problem
- Lab solutions: Framing a machine learning problem
- Infuse your apps with ML
- Build a data strategy around ML
Reading
- Resources: What It Means to Be AI First
Practice Exercise
- What it Means to be AI First
Week 1: How Google Does ML
Videos
- Introduction
- ML Surprise
- The secret sauce
- ML and business processes
- The path to ML
- A closer look at the path
- End of phases deep dive
Reading
- Resources: How Google does ML
Practice Exercise
- How Google Does ML
Week 2: Machine Learning Development with Vertex AI
Videos
- Introduction
- Moving from experimentation to production
- Components of Vertex AI
- Getting Started with Google Cloud Platform and Qwiklabs
- Lab intro: Using an image dataset to train an AutoML model
- Lab demo: Using an image dataset to train an AutoML model
- Lab intro: Training an AutoML video classification model
- Lab demo: Training an AutoML video classification model
- Tools to interact with Vertex AI
Reading
- Resources: Machine Learning Development with Vertex AI
Practice Exercise
- Machine Learning Development with Vertex AI
Week 3: Machine Learning Development with Vertex Notebooks
Videos
- Introduction
- Machine learning development with Vertex Notebooks
- (Optional) Lab intro: Vertex AI Model Builder SDK: Training and Making Predictions on an AutoML Model
- (Optional) Lab demo: Vertex AI Model Builder SDK: Training and Making Predictions on an AutoML Model
Reading
- Resources: Machine Learning Development with Vertex Notebooks
Practice Exercise
Machine Learning Development with Vertex Notebooks
Week 3: Best Practices for Implementing Machine Learning on Vertex AI
Videos
- Introduction
- Best practices for machine learning development
- Data preprocessing best practices
- Best practices for machine learning environment setup
Practice Exercise
- Best Practices for Implementing Machine Learning on Vertex AI
Week 3: Responsible AI Development
Videos
- Introduction
- Overview
- Human biases lead to biases in ML models
- Biases in data
- Evaluating metrics with inclusion for your ML system
- Equality of opportunity
- How to find errors in your dataset using Facets
Reading
- Resources: Responsible AI Development
Practice Exercise
- Responsible AI Development
Week 3: Summary
Readings
- Summary
- Resource: All quiz questions
- Resource: All readings
- Resource: All slides
Articles
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