- Welcome/Introduction
- Introducing AutoAI
- Watson Studio Platform Basics
- Building Rapid Prototypes Demo Introduction
- Classification Demo
- Examining the Notebook
- Regression Demo
Machine Learning Rapid Prototyping with IBM Watson Studio
In details study about the genre of data science by enrolling for the course on Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera.
Intermediate
Online
3 Weeks
Free
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.
The highlights
- Course offered by IBM
- Programme by Coursera
- 100% online programme
- 8 hours total course duration
- Shareable certificate
- Course level intermediate
- Deadlines flexible
- Subtitles in English
- Beginner level course
Program offerings
- Videos
- Quiz
- Reading material
- Exercises
- Online
Course and certificate fees
Type of course
- The Introduction to Git and GitHub fee for enrollment is free for 7 days only.
- They need to further pay Rs.2,362 to make the fee payment.
Fee Details
Enrollment fee | Free |
Certification fees | Rs. 2411 |
certificate availability
certificate providing authority
certificate fees
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
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”.
Who it is for
The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will help the students study about-
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
The syllabus
Module 1: Building a rapid prototype with Watson studio AutoAI
Videos
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
Quizzes
- 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
Quizzes
- 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
Quizzes
- 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
Practice exercises
- Check for Understanding
- Check for Understanding
- End of Module Quiz
Peer Review
- Choose a Data Set and Perform an AutoAI Experiment
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
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.
The students will have to finish the course by the stipulated time frame of 8 hours.
Yes, the students can avail themselves of the financial aids in the Machine Learning Rapid Prototyping with IBM Watson Studio online programme.
After enrolling for the course only Machine Learning Rapid Prototyping with IBM Watson Studio training the students will get access to the course.
The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus can be accessed from the course site.
The course on Machine Learning Rapid Prototyping with IBM Watson Studio is offered by IBM.
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.
The details of the certificate that will be provided in e-format can be shared by students across all platforms.
The students can generate the form by visiting the official course URL.
Articles
Popular Articles
Latest Articles
Similar Courses
Supervised Machine Learning Regression
IBM via Coursera
Using R for Regression and Machine Learning in Inv...
Sungkyunkwan University, Seoul via Coursera
Unsupervised Machine Learning
IBM via Coursera
Introduction to Machine Learning in Sports Analyti...
UM–Ann Arbor via Coursera
Guided Tour of Machine Learning in Finance
NYU via Coursera
Feature Engineering
Google via Coursera
TensorFlow on Google Cloud
Google via Coursera
Unsupervised Learning
Georgia Tech via Udacity
Machine Learning for Trading
Georgia Tech via Udacity
Courses of your interest
Salesforce Administrator and App Builder
SkillUp Online via Simplilearn
Introduction to Medical Software
Yale University, New Haven via Coursera
Google Cloud Architect Program
Google Cloud via SkillUp Online
Google Cloud Architect Program
Google via SkillUp Online
Information Security Design and Development
Coventry University, Coventry via Futurelearn
Ethics Laws and Implementing an AI Solution on Mic...
CloudSwyft Global Systems, Inc via Futurelearn
Network Security and Defence
Coventry University, Coventry via Futurelearn
Cyber Security Foundations Start Building Your Car...
EC-Council via Futurelearn
Applied Data Analysis
CloudSwyft Global Systems, Inc via Futurelearn
More Courses by IBM
AI Applications With Watson
IBM via Edx
Python for Data Science Project
IBM via Edx
Site Reliability Engineering Capstone
IBM via Edx
Blockchain Framework and Platforms
IBM via Edx
Introduction to System Programming on IBM Z
IBM via Edx
Smarter Chatbots with Node RED and Watson AI
IBM via Edx
Application Development using Microservices and Se...
IBM via Coursera
IBM Data Topology
IBM via Coursera