About this Course

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Course 3 of 6 in the
Flexible deadlines
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Intermediate Level
Approx. 9 hours to complete
English
Subtitles: English

Skills you will gain

Deep LearningArtificial Neural NetworkArtificial Intelligence (AI)Machine Learningkeras
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 9 hours to complete
English
Subtitles: English

Offered by

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IBM

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Introduction to Neural Networks and Deep Learning

2 hours to complete
4 videos (Total 17 min), 1 reading, 2 quizzes
4 videos
Introduction to Deep Learning4m
Neurons and Neural Networks3m
Artificial Neural Networks5m
1 reading
Syllabus10m
1 practice exercise
Introduction to Neural Networks and Deep Learning30m
Week
2

Week 2

1 hour to complete

Artificial Neural Networks

1 hour to complete
4 videos (Total 22 min)
4 videos
Backpropagation9m
Vanishing Gradient1m
Activation Functions5m
1 practice exercise
Artificial Neural Networks30m
Week
3

Week 3

3 hours to complete

Keras and Deep Learning Libraries

3 hours to complete
3 videos (Total 16 min)
3 videos
Regression Models with Keras6m
Classification Models with Keras5m
1 practice exercise
Keras and Deep Learning Libraries30m
Week
4

Week 4

2 hours to complete

Deep Learning Models

2 hours to complete
4 videos (Total 17 min)
4 videos
Convolutional Neural Networks8m
Recurrent Neural Networks2m
Autoencoders2m
1 practice exercise
Deep Learning Models30m

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About the IBM AI Engineering Professional Certificate

Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer. You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers. Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders. In addition to earning a Professional Certificate from Coursera, you will also receive a digital badge from IBM recognizing your proficiency in AI engineering....
IBM AI Engineering

Frequently Asked Questions

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