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AI Workflow: Machine Learning, Visual Recognition and NLP
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AI Workflow: Machine Learning, Visual Recognition and NLP

This course is part of IBM AI Enterprise Workflow Specialization.

Course Cost

Free course

Advanced

Skill Level

13 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM AI Enterprise Workflow Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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6,389 Enrolled

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4.4

6,389 Enrolled

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What you'll learn

  • Implement and evaluate machine learning models using multiple metrics

  • Develop neural networks using TensorFlow

  • Utilize IBM Watson for visual recognition and NLP tasks

  • Apply tree-based methods and ensemble learning

  • Create production-ready ML pipelines

Skills you'll gain

Artificial Intelligence
Machine Learning
Neural Networks
Natural Language Processing
Visual Recognition
TensorFlow
IBM Watson
Model Evaluation
Deep Learning
Python Programming

This course includes:

0.5 Hours PreRecorded video

11 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

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

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Certificate
Certificate

Get a Completion Certificate

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

CREATED BY

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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 2 modules in this course

This comprehensive course covers advanced machine learning techniques focusing on model evaluation, neural networks, and IBM Watson services. Students learn to implement and evaluate various ML models including linear models, tree-based algorithms, and deep learning networks. The curriculum includes hands-on experience with natural language understanding and visual recognition using IBM Watson, culminating in practical case studies involving NLP and image analysis.

Model Evaluation and Performance Metrics

Module 1 · 7 Hours to complete

Building Machine Learning and Deep Learning Models

Module 2 · 6 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM AI Enterprise Workflow Specialization

Reviews

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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.

AI Workflow: Machine Learning, Visual Recognition and NLP

Advanced

Skill Level

13 Hours

Self-paced lessons

Course Cost

Free course

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.