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Learner Reviews & Feedback for Applied AI with DeepLearning by IBM

4.4
stars
787 ratings
134 reviews

About the 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

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

KV

Apr 17, 2020

Awesome!...Exciting!.Thanks for such an interesting hands on course..really appreciate all the tutors for all the valuable knowledge and helpful responses.

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26 - 50 of 136 Reviews for Applied AI with DeepLearning

By mahmut k

Apr 16, 2018

Useful information course have. There are some challenges.

However, the instructor, Romeo is great!

A real Jedi master!

By Freek W

May 18, 2018

Good connection from the theory in Standford University: "Machine Learning" to modern day implementations of ML.

By Marcus S

Feb 08, 2018

Curso muito bom! Recomendo! Parabéns principalmente ao senhor Romeo, pelo desenvolvimento do curso.

Marcus Soares

By Anton I N B

Feb 24, 2020

I learned how to utilize SystemML and DeepLearning4j to train different ML models on Apache Spark clusters.

By Evan S

Jun 15, 2019

I learned a lot about neural networks and the infrastructure they run on. I enjoyed the course very much.

By Egemen İ

Aug 28, 2019

This course and the knowledge it provided were incredibly helpful. Thank you IBM and thank you Coursera!

By Muahammad U A

May 20, 2018

This is best course in order to know how machine learning application is scaled on different machines.

By Ted H

Oct 14, 2019

I can't believe how much progress has been made with Neural Networks since I studied them at school!

By Varadharajan R

Aug 07, 2019

Self motivated to learn and do the assignments all the discussions in the forum guided me thoroughly

By Muhammad S

Apr 22, 2020

Great Course.Adding of more examples coding makes powerful understanding about to code the system.

By Edi W

Mar 09, 2020

Please update the course and replace the deeplearning4j with newest skill soon. It is deprecated.

By Ashish P

Jul 16, 2019

This is really Amazing Course. I learn those micro things which is people rarely understand.

By Ray H A L

Jan 15, 2019

No easy...But was supprise to have got enrolle for the course: Applied AI with DeepLearning

By Ivan P

Apr 06, 2018

This course presents a good overview of various practical approaches used in nowadays AI.

By Sven

Oct 05, 2018

Very good data science specialization covering many interesting advanced technologies!

By Kevin R L

Apr 09, 2020

course content is great. the teachers make understanding the topics easier for us

By Chris S

Feb 28, 2020

Very informatic class, it is valuable to remember the details again and again

By Nikolas R

Apr 14, 2019

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

By prithvish k c

May 09, 2020

completely related and course material and projects are great. Great course

By Dasun K

Apr 18, 2020

Labs and codes demonstrated are very useful. Covers vast knowladge area.

By Nikhila M B

May 12, 2020

Was very helpful in understanding deep learning with neural networks

By Riku S

Feb 07, 2019

A nice intro to TensorFlow, Keras, SystemML, DL4J and Apache Spark!

By Ramachandra R K

Feb 27, 2019

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

By Aditya V

Apr 17, 2020

Awesome course and amazing content to start with deep learning.

By Saumya T

Jun 02, 2019

Very good course for learning Neural Network. Well explained!!!