Managing Machine Learning Projects with Google Cloud by Google via Coursera: Fee, Duration, How to Apply

Quick Facts

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

Course overview

The Managing Machine Learning Projects with Google Cloud certification course is designed as a beginner level programme. The programme can be joined from the platform of Coursera. It offers a self-paced learning experience and students can learn from the available study material without any restrictions.

The programme does not charge any amount for joining and learning from the course. Participants will be able to complete the whole Managing Machine Learning Projects with Google Cloud certification syllabus in approximately fourteen hours as it contains eight modules that will take up to a month. Students will be able to gain information regarding machine learning with respect to business problems.

Students will be able to obtain a certificate if they complete the Managing Machine Learning Projects with Google Cloud programme within the given time. Candidates have the option to reset the deadlines according to the schedule of their suitability. The course also includes quizzes, readings, discussions, and assignments in order to provide a better learning experience for the students. The topics included in the Managing Machine Learning Projects with Google Cloud certification can be completed in the duration of one to three hours.

Course and certificate fees

Students can also opt for 7 days free trial.

Managing Machine Learning Projects with Google Cloud Fees Details

Particulars	Fee Amount in INR
Managing Machine Learning Projects with Google Cloud - Audit course	Free
Managing Machine Learning Projects with Google Cloud - 1 month	Rs.3,275/-
Managing Machine Learning Projects with Google Cloud - 3 months	Rs.6,550/-
Managing Machine Learning Projects with Google Cloud - 6 months	Rs.9,825/-

certificate availability

Yes

certificate providing authority

Coursera

Eligibility criteria

Certification Qualifying Details

In case the students want to acquire a certificate for the online programme, he or she will have to take the subscription by paying the mentioned amount.

What you will learn

Machine learning

Once the programme completes, the students will learn about the following elements:

Candidates will learn about the feasibility of machine learning use cases in the Managing Machine Learning Projects with Google Cloud training.
Students will learn about the impact of machine learning on the business.
Participants will acquire knowledge regarding the requirements to build a machine learning model.
Learners will be able to identify and evaluate a machine learning model in the Managing Machine Learning Projects with Google Cloud online course.
Participants will understand the data characteristics and aspects that affect the quality of machine learning models.
Students will gain insights and learn about the main concepts used for managing machine learning projects.
Candidates will be able to learn the usage of machine learning ethically in the Managing Machine Learning Projects with Google Cloud certification.

The syllabus

Module 1: Introduction

Video

Introduction

Readings

How to download course resources
How to send feedback

Module 2: Identifying business value for using ML

Videos

Introduction
AI vs ML vs Deep Learning
Phase 1: Assess feasibility
Practice assessing the feasibility of ML use cases

Reading

Worksheet

Assignment

Identifying business value for using ML

Module 3: Defining ML as a practice

Videos

Common ML problem types
Standard algorithm and data
Data quality
Predictive insights and decisions
More ML examples
Practice series: Analyze the ML use case
Saving the world's bees
Google Assistant for accessibility
Exercise review and Why ML now

Reading

Module 3: Worksheet

Assignment

Defining ML as a practice

Module 4: Building and evaluating ML models

Videos

Features and labels
Building labeled datasets
Training an ML model
General best practices
Introduction to hands-on labs
Lab 1: Review

Assignment

Building and evaluating ML models

App Item

Identifying damaged car parts with AutoML Vision

Module 5: Using ML responsibly and ethically

Videos

Human bias in ML
Google's AI Principles
Common types of human bias
Evaluating model fairness
Guidelines and Hands-on Lab
Lab 2: Review

Assignment

Using ML responsibly and ethically

App Item

Inspecting a dataset for bias using TensorFlow Data Validation and Facets

Module 6: Discovering ML use cases in day-to-day business

Videos

Replacing rule-based systems with ML
Automate processes and understand unstructured data
Personalize applications with ML
Creative uses of ML
Sentiment analysis and Hands-on Lab
Lab 3: Review

Reading

Sentiment Analysis Worksheet

Assignment

Discovering ML use cases in day-to-day business

App Item

Sentiment Analysis with Natural Language API

Module 7: Managing ML projects successfully

Videos

Key consideration 1: business value
Data strategy (pillars 1–3)
Data strategy (pillars 4–7)
Data governance
Build successful ML teams
Create a culture of innovation and Hands-on Lab
Lab 4: Review

Assignment

Managing ML projects successfully

App Item

Evaluate an ML model with BigQuery ML

Module 8: Summary

Video

Summary

Admission details

Participants have to follow the given procedure in order to be a part of the programme-

Step 1 - Students have to visit the course webpage.

Step 2- Students will have to enrol themselves in the programme by clicking on the Enroll for the free tab.

Step 3- Students will have to log in or sign up using their Gmail or Facebook credentials.

Step 4- After logging in, students will have to click on the Go to course tab and access the course.

Scholarship Details

Students will have to apply for the scholarship by filling out an online application form by clicking on the Financial aid option given at the top and bottom of the page.

How it helps

The Managing Machine Learning Projects with Google Cloud programme is offered in online mode. Participants will be able to understand the concepts of machine learning in this programme. Students who enrol on the programme can access the course for free in the audit mode. The study material of the course includes quizzes, readings, assignments, etc. for the students. The Managing Machine Learning Projects with Google Cloud by Coursera can be pursued according to the speed of the candidate.

The certification achieved through this online training holds great market value. The Managing Machine Learning Projects with Google Cloud certification benefits the people who want to make their career in the field of machine learning. The certificates are sharable in nature and thus can be shared on professional platforms like LinkedIn. The course can be helpful in getting relevant job or internship opportunities for the students.

Candidates who want to pursue a professional level course in machine learning can pursue this programme as it can help them apply for a higher level degree. The Managing Machine Learning Projects with Google Cloud certification course can be beneficial for business professionals as it can help them understand problems prevailing in the market.