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Applied AI with DeepLearning, IBM

4.4
336 ratings
54 reviews

About this Course

>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<< This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. We’ll learn about the fundamentals of Linear Algebra and Neural Networks. Then we introduce the most popular DeepLearning Frameworks like Keras, TensorFlow, PyTorch, DeepLearning4J and Apache SystemML. Keras and TensorFlow are making up the greatest portion of this course. We learn about Anomaly Detection, Time Series Forecasting, Image Recognition and Natural Language Processing by building up models using Keras on real-life examples from IoT (Internet of Things), Financial Marked Data, Literature or Image Databases. Finally, we learn how to scale those artificial brains using Kubernetes, Apache Spark and GPUs. IMPORTANT: THIS COURSE ALONE IS NOT SUFFICIENT TO OBTAIN THE "IBM Watson IoT Certified Data Scientist certificate". You need to take three other courses where two of them are currently built. The Specialization will be ready late spring, early summer 2018 Using these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give your ideas for turbocharging successful creation and deployment of DeepLearning models. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide. Prerequisites: Some coding skills are necessary. Preferably python, but any other programming language will do fine. Also some basic understanding of math (linear algebra) is a plus, but we will cover that part in the first week as well. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging....

Top reviews

By RC

Apr 26, 2018

It was really great learning with coursera and I loved the course. The way faculty teaches here is just awesome as they are very much clear and helped a lot while learning this coursea

By QL

Apr 09, 2019

This is an excellent course in teaching me not only the deep learning principles but also practical usecases and various frameworks.

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54 Reviews

By Nikolas Rieble

Apr 14, 2019

The course covers a broad range of tools to deploy deep learning algorithms.

By Quang Nguyen Luong

Apr 09, 2019

This is an excellent course in teaching me not only the deep learning principles but also practical usecases and various frameworks.

By Jose Luis Meneses Gonzalez

Apr 01, 2019

Lo hago, el curso es muy bueno en cuanto al uso de la plataforma watson, pero falla en explicar los fundamentos principales con animaciones, ejemplo, el curso de pytorch de udacity enseña eso muy bien. En lo demas esta bien, pero al no contar con elementos visuales de ayuda en laclase de LSTM se hace tediosa.

By Amin sama

Mar 31, 2019

even after getting financial aid i am not able to upload my submissions.

By Valerio Novelli

Mar 27, 2019

Very Complete course.

By Serdar Mamiyev

Mar 22, 2019

materials offered are not enough, and it is confusing.

By Fernando Castro

Mar 03, 2019

The course is great!

By Ramachandra Rao Kolluri

Feb 27, 2019

Great course with several hands-on assignments. Highly recommend.

By Waleed Mohammed Saeed Al Amshi Al Ghamdi

Feb 23, 2019

good

By Ayesha Shafique

Feb 22, 2019

It boosted my skills