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Machine Learning Rapid Prototyping with IBM Watson Studio
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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.

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3.9

1,503 Enrolled

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English

Powered by

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olive-leaves-logo

3.9

1,503 Enrolled

olive-leaves-logo

English

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

Data Science
Python Programming
Machine Learning
AutoAI
Automated Feature Engineering
Hyperparameter Optimization
Watson Studio
Model Deployment

This course includes:

111 Minutes PreRecorded video

13 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Certificate
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Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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.

Machine Learning Rapid Prototyping with IBM Watson Studio

Intermediate

Skill Level

8 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.