How Google does Machine Learning

BY
Google via Coursera

Lavel

Beginner

Mode

Online

Duration

3 Weeks

Fees

₹ 4091

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course and certificate fees

Fees information
₹ 4,091

The course fees for How Google does Machine Learning is -

Description

Fee in INR

1 month

Rs. 4,091

3 months 

Rs. 8,182

6 months 

Rs. 12,274

certificate availability

Yes

certificate providing authority

Coursera

The syllabus

Module 1: Introduction to Course and Series

Video
  • Course Series Preview
  • Course introduction

Module 2: 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

Module 3: 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

Module 4: 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

Module 5: 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

Module 6: 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

Module 7: 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

Module 8: Summary

Readings
  • Summary
  • Resource: All quiz questions
  • Resource: All readings
  • Resource: All slides

Articles

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