About this Course

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Course 6 of 6 in the

Flexible deadlines

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Advanced Level

Approx. 9 hours to complete

Suggested: 18 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Course 6 of 6 in the

Flexible deadlines

Reset deadlines in accordance to your schedule.

Advanced Level

Approx. 9 hours to complete

Suggested: 18 hours/week...

English

Subtitles: English

Instructors

Image of instructor, Alex Aklson

Alex Aklson 

Ph.D., Data Scientist
IBM Developer Skills Network
193,068 Learners
7 Courses
Image of instructor, Joseph Santarcangelo

Joseph Santarcangelo 

Ph.D., Data Scientist at IBM
IBM Developer Skills Network
143,997 Learners
4 Courses

Offered by

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IBM

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Module 1 - Loading Data

3 hours to complete
4 videos (Total 8 min)
4 videos
Choose One Library Only (PyTorch or Keras)41s
1.0 Loading data.1m
Keras Stream3m
3 practice exercises
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Download Data10m
Loading Data with Keras30m
Week
2

Week 2

3 hours to complete

Module 2

3 hours to complete
1 video (Total 2 min)
2 practice exercises
Data loader PyTorch15m
Data Preparation with Keras30m
Week
3

Week 3

3 hours to complete

Module 3

3 hours to complete
1 video (Total 2 min)
2 practice exercises
Linear Classifier PyTorch10m
Building a Classifier with Pre-Trained Models30m
Week
4

Week 4

7 hours to complete

Module 4

7 hours to complete
1 video (Total 3 min), 1 reading, 2 quizzes
1 reading
Peer Review Instruction10m

About the IBM AI Engineering Professional Certificate

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....
IBM AI Engineering

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.