About this Course

50,341 recent views
Shareable Certificate
Earn a Certificate upon completion
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. 16 hours to complete
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
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. 16 hours to complete
English
Subtitles: English

Offered by

IBM logo

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
Opt-in to receive your badge!
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

Reviews

TOP REVIEWS FROM AI CAPSTONE PROJECT WITH DEEP LEARNING

View all reviews

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

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.