Machine Learning Rapid Prototyping with IBM Watson Studio
Master AutoAI in IBM Watson Studio. Learn automated ML pipelines for rapid model prototyping and deployment.
Course Cost
₹ 2,699
Intermediate
Skill Level
8 Hours
Self-paced lessons
Explore the cutting-edge of AutoAI with IBM Watson Studio in this intermediate-level course. Learn to create end-to-end automated machine learning pipelines, focusing on rapid prototyping of models. Discover automated techniques for data preparation, model selection, feature engineering, and hyperparameter optimization. Gain hands-on experience with AutoAI-generated Python notebooks, working on real-world datasets. Ideal for practicing Data Scientists, this course bridges the gap between traditional ML workflows and automated AI technologies, enabling you to leverage Watson Studio's capabilities for efficient, high-performance model development.
What you'll learn
Understand the landscape of AutoAI technologies and their applications
Master the use of Watson Studio's AutoAI experiment tool for rapid prototyping
Learn automated techniques for data preparation and model selection
Explore advanced feature engineering methods using the Cognito algorithm
Gain proficiency in automated hyperparameter optimization techniques
Develop skills in evaluating and deploying AutoAI-generated solutions
Apply AutoAI concepts to real-world classification and regression problems
Understand the underlying technologies developed by IBM Research for AutoAI
Skills you'll gain
This course includes:
111 Minutes PreRecorded video
13 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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There are 4 modules in this course
This course focuses on Machine Learning rapid prototyping using IBM Watson Studio's AutoAI capabilities. Learners will explore automated techniques for data preparation, model selection, feature engineering, and hyperparameter optimization. The course covers the creation of end-to-end automated pipelines, working with AutoAI-generated Python notebooks, and hands-on experience with real-world datasets. Participants will learn to evaluate and deploy AutoAI-generated solutions, gaining practical skills in leveraging automated AI technologies for efficient model development and deployment.
Building a Rapid Prototype with Watson Studio AutoAI
Module 1 · 2 Hours to complete
Automated Data Preparation and Model Selection
Module 2 · 2 Hours to complete
Automated Feature Engineering and Hyperparameter Optimization
Module 3 · 2 Hours to complete
Evaluation and Deployment of AutoAI-generated Solutions
Module 4 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
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