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.
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
This course includes:
0.5 Hours PreRecorded video
11 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

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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
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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
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.




