Deep Learning Professional Program
Program Description
Deep Learning is one of the most highly sought after skills in Artificial Intelligence. This program enable you to build a solid foundation in Deep Learning; you will learn how to build neural networks from scratch and how to apply Convolutional Neural Networks (CNN) to solve computer vision problems such as image classification and object detection.
Moreover, you will learn how to build, and tune predictive models for sequence data, including time series and natural language, using Recurrent Neural Networks (RNN).
To complete this program successfully, the participants need to complete three hands-on projects and pass the Innosoft Certified Deep Learning Professional Exam (DL-300).

Course Code | Dates | Location | Registration Fees |
---|---|---|---|
DL-300 | 31 October - 10 November 2020 | Dubai Knowledge Park | 2,950 AED (800 USD) |
What You Will Get
KHDA-Accredited Certification
Live Classes
Lecture Videos
Practical Projects
Course Instructor - Ahmed El Koutbia

Founder and CEO of Innosoft Gulf, a leading AI and Big Data Education Center in Dubai. Most of the work that I do at Innosoft Gulf involves teaching, consulting and research in Deep Learning, Machine learning and Big Data. In the last couple of years, I have trained hundreds of professionals in these areas. To develop a local community of AI and Big Data professionals, I started in March 2017, one ofthe largest meet-up groups in Dubai: Innosoft Gulf – Big Data and Artificial Intelligence. At the moment, this active meet-up group has over 3,800 members.
After completing my Bachelor’s degree in Information and Decision Science at the University of Illinois at Chicago in 1996, I had the opportunity to work for some of the most prestigious organizations in the US including Sun Microsystems and Chicago Board of Options Exchange (CBOE). At Sun, I worked closely with the Chief Architect of the Java Center in the architecture, design and development of a Java EE based workflow engine. This work was included in the best selling book Java EE Patterns. Currently, I am pursuing graduate studies in AI at Stanford University, where I worked recently on a self-driving project, which applies Fully Convolutional Neural Networks for Automated Traffic Lane Detection (Click here to download the project report).
Prerequisites
Successful Completion of our Artificial Intelligence Professional Program, or Experience with Python Programming and Machine Learning.
Course and Certification Schedule
Event | Date | Description | Timing |
---|---|---|---|
Live Session 1In-Person or via Zoom |
01 November 2020 |
|
7:00PM - 8:30PM |
Lecture Video 1 |
02 November 2020 |
|
Flexible |
Lecture Video 2 |
03 November 2020 |
|
Flexible |
Assignment 1 Due |
04 November 2020 at 6:00PM | ||
Live Session 2In-Person or via Zoom |
04 November 2020 |
|
7:00PM - 8:30PM |
Lecture Video 3 |
05 November 2020 |
|
Flexible |
Lecture Video 4 |
07 November 2020 |
|
Flexible |
Assignment 2 Due |
08 November 2020 at 6:00PM | ||
Live Session 3In-Person or via Zoom |
08 November 2020 |
|
7:00PM - 8:30PM |
Lecture Video 5 |
09 November 2020 |
|
Flexible |
Lecture Video 6 |
10 November 2020 |
|
Flexible |
Assignment 3 Due |
11 November 2020 at 6:00PM | ||
Live Session 4In-Person or via Zoom |
11 November 2020 |
|
7:00PM - 8:30PM |
Certification Exam (DL300) |
21 November 2020 | In-Class Exam
|
3:00PM - 5:00PM |
Testimonials

I've attempted to learn similar skills in my own time in the past, and have always found it difficult to persist beyond the beginner level. The course at Innosoft is intensive - 3 hours a day, over 10 days. This immersive approach, in my view, is the absolute best way to learn these difficult skills. The instructor took me from an absolute beginner to being able to fully engage with the Data Science literature available now, both from a theoretical and a coding point of view.





