Machine Learning Rapid Prototyping with IBM Watson Studio by IBM 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	Learning efforts 2 Hours Per Week

Course overview

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will be allowing the students to work in the emerging technologies of AI. The syllabus is included in the online course Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera. The online programme is 100% online programme and the course is having a duration of eight hours. The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus includes the chapters of- Classification Prep Demo, Regression Prep Demo, Multi-armed Bandit Approach, Demo Classification: Making Changes to the Models, Automated Data Preparation, DAUB Algorithm, The model selection problem and others.

Course and certificate fees

Type of course

Free

The fees for the course Machine Learning Rapid Prototyping with IBM Watson Studio is -

Head	Amount in INR
Certificate fees	Rs. 2,435

certificate availability

Yes

certificate providing authority

Coursera

certificate fees

₹2,435

Who it is for

Data scientist

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will help the students study about-

Data scientists

Eligibility criteria

Certification Qualification Details

Students will be getting the Machine Learning Rapid Prototyping with IBM Watson Studio certificate by completing the course in the specified time frame.

What you will learn

Machine learning

The Machine Learning Rapid Prototyping with IBM Watson Studio online course will help the students learn about the following-

The ways of preparing automated data tables and models will be covered in the syllabus in detail.
The students will study the working mechanisms of regression demo lab style.
Candidates will be learning the ways of examining the notebook and its application.
Applicants in the course will further study about the evaluation and deployment of AutoAI-generated Solutions methods.
In the Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus, the students will cover the topic of - “AutoAI Implementations”.

The syllabus

Module 1: Building a rapid prototype with Watson studio AutoAI

Videos

Welcome/Introduction
Introducing AutoAI
Watson Studio Platform Basics
Building Rapid Prototypes Demo Introduction
Classification Demo
Examining the Notebook
Regression Demo

Readings

Course Prerequisites
Learning Outcomes
AutoAI Implementations
References
Summary
Learning Outcomes
Watson Studio Setup
Watson Studio Lab (Activity)
Summary
Learning Outcomes
References
Building Rapid Prototypes Lab (Activity)
Summary
Summary/Review

Assignments

Check for Understanding
Check for Understanding
Check for Understanding
End of Module Quiz

Module 2: Automated data preparation and model selection

Videos

Module 2 Introduction
Automated Data Preparation
Classification Prep Demo
Regression Prep Demo
The model selection problem
Multi-armed Bandit Approach
DAUB Algorithm
Demo Classification: Making Changes to the Models
Demo Regression: Making Changes to the Models

Readings

Learning Outcomes
Building the Prototype: Prep (graphic)
References
Data Preparation Lab (Activity)
Summary
Learning Outcomes
Building the Prototype: Model selection (graphic)
References
Model Selection Lab (Activity)
Summary
Summary/Review

Assignments

Check for Understanding
Check for Understanding
End of Module Quiz

Module 3: Automated feature engineering and hyperparameter optimization

Videos

Module 3 introduction
Automated feature engineering
Cognito - transforms and the transformation graph
Cognito - transformation graph exploration
Demo classification: feature engineering
Demo regression: feature engineering
HPO demo
Automated HPO
RBFOpt

Readings

Learning Outcomes
Building the Prototype: Feature Engineering (graphic)
References
Feature Engineering Lab (Activity)
Summary
Learning Outcomes
Building the Prototype: HPO (graphic)
References
Automated HPO Lab (Activity)
Summary
Summary/Review

Assignments

Check for Understanding
Check for Understanding
End of Module Quiz

Module 4: Evaluation and deployment of autoAI-generated Solutions

Videos

Module 4 introduction
Deployment demo
Evaluation demo
Course closing

Readings

Learning Outcomes
Evaluation Lab (Activity)
References
Summary
Learning Outcomes
Deployment Lab (Activity)
Summary
Summary/Review
More AutoAI Capabilities from IBM / References

Assignments

Check for Understanding
Check for Understanding
End of Module Quiz

Peer Review

Choose a Data Set and Perform an AutoAI Experiment

Admission details

Filling the form

For getting registered in the Machine Learning Rapid Prototyping with IBM Watson Studio online course the students need to follow the given steps-

Step 1: The applicants need to go to the official course URL for procuring the form

Step 2: Students have to click on the “enrol” button that is provided on the home screen.

Step 3: The students then need to select their desired course

Scholarship Details

Note: Financial aid is available but the amount has not been specified.

How it helps

The Machine Learning Rapid Prototyping with IBM Watson Studio certification benefits the students by allowing them to develop their skills in - Data Science, Artificial Intelligence (AI)

Information Engineering, Python Programming, Machine Learning. The online session on Machine Learning Rapid Prototyping with IBM Watson Studio certification will be allowing the candidates to be guided by the industry experts and professionals. The course is being offered by IBM and is being available on the platform of Coursera. The certificate that the students will be getting towards the end of the course can be shared by the students over social media handles and platforms. The course will also help the students strengthen their knowledge on- Data Preprocessing, Data Science workflow, Machine Learning Algorithms, Hyperparameter Optimization, Evaluation measures for models and Feature Engineering

Instructors

Mr Mark J Grover
Digital Content Delivery Lead
IBM

Ms Meredith Mante
Data Scientist
IBM

FAQs

Can the students apply for the course online?

Yes, by visiting the official site of Coursera the students can apply for the course on Machine Learning Rapid Prototyping with IBM Watson Studio programme.

What is the total course training period?

The students will have to finish the course by the stipulated time frame of 8 hours.

In the course is scholarship given?

Yes, the students can avail themselves of the financial aids in the Machine Learning Rapid Prototyping with IBM Watson Studio online programme.

When will the students get access to the course resources?

After enrolling for the course only Machine Learning Rapid Prototyping with IBM Watson Studio training the students will get access to the course.

Where can the details of the syllabus be accessed from?

The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus can be accessed from the course site.

Who is the course offered by?

The course on Machine Learning Rapid Prototyping with IBM Watson Studio is offered by IBM.

How can the certificate be applied for?

To apply for the certificate the students need to apply by buying the certificate. The details of it can be accessed by the students from the webpage.