- Introduction
Managing Machine Learning Projects with Google Cloud
Learn machine learning from the business perspective by pursuing the certification of Managing Machine Learning ...Read more
Beginner
Online
8 Weeks
Quick Facts
particular | details | |||
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Medium of instructions
English
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Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
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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.
The highlights
- Online mode
- Beginner level learning experience
- 13 hours required for the course
- Eight weeks course
- Flexible timings and deadlines
- Offered by Coursera
- Study material available
Program offerings
- Discussion forum
- Practice exercise
- Readings
- Video sessions
- Assessments.
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
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
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.
FAQs
How can I access the assignments of the programme?
Students will have to purchase the certificate in order to get access to the assignments.
How can I apply for financial aid in the Managing Machine Learning Projects with Google Cloud training?
Students will have to complete the procedure of filling an application form for the scholarship.
Is this programme equivalent to university credit?
No, the course does not offer university credit for the programme.
Can I unenroll from the ongoing course?
Yes, students can unenroll in the programme according to their requirements.
How can I solve any doubts about the programme?
Students can use discussion platforms to clear their doubts.
Where can I share the certification?
Students will be able to share the certificate on social platforms like LinkedIn.
How many weeks will the Managing Machine Learning Projects with Google Cloud certification syllabus take to get completed?
The programme will take four weeks to get completed.
Is this a professional level course?
No, the programme is a beginner level course that can be pursued by anyone.
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