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

Ahmed_Passport_Photo

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.

Click Here To Register

Course and Certification Schedule

Event Date Description Timing

Live Session 1


In-Person or via Zoom		 01 November 2020
  • Meet and Greet

  • Course Overview

  • Examples of Deep Learning Projects

  • Assignment 1
 7:00PM - 8:30PM

Lecture Video 1

02 November 2020
  • Artificial Neural Network (ANN) Structure

  • Model Representation

  • Forward Propagation

  • Activation Functions

  • Cost and Loss Functions

  • Back Propagation and Gradient Descent

  • Practical Project: Solving a Regression Problem with Neural Networks
 Flexible

Lecture Video 2

 03 November 2020
  • Train, Dev, Test Sets

  • Bias vs. Variance

  • Overfitting in Neural Networks

  • Early Stopping

  • Regularization (L2, Dropout)

  • Computer Vision: Convolutional Neural Networks(CNN)

  • Practical Project: Solving Tumor Classification Problem with Neural Networks

 Flexible

Assignment 1 Due

 04 November 2020 at 6:00PM

Assignment 2 Due

 08 November 2020 at 6:00PM

Live Session 2


In-Person or via Zoom		 04 November 2020
  • Q & A: Video Lectures 1 and 2

  • Assignment 1 - Solution

  • Assignment 2

7:00PM - 8:30PM

Lecture Video 3

 05 November 2020
  • Introduction to Computer Vision

  • Convolution Operation and Edge Detection

  • Padding

  • Strides

  • Pooling Layers

  • Template for building a Convolutional Neural Networks

  • Overview of CNN Architectures

  • Practical Project: Developing a CNN Model for Image Classification

 Flexible

Lecture Video 4

 07 November 2020
  • Sequence Data

  • Recurrent Neural Network (RNN) Model

  • RNN Arcitectures

  • Vanishing Gradients

  • Long Short-Term Memory (LSTM)

  • Gated Recurrent Units (GRU)

  • Practical Project: Predicting Time Series with RNN
 Flexible

Assignment 1 Due

 04 November 2020 at 6:00PM

Assignment 2 Due

 08 November 2020 at 6:00PM

Live Session 3


In-Person or via Zoom		 08 November 2020
  • Q & A: Lecture Videos 3 and 4

  • Assignment 2 - Solution

  • Assignment 3

7:00PM - 8:30PM

Lecture Video 5

 09 November 2020
  • Building an RNN Model with TensorFlow

  • Forecasting Retail Sales with RNN

 Flexible

Lecture Video 6

 10 November 2020
  • Natural Language Processing (NLP) with RNN

  • Text Processing and Vectorization

  • Textual Data Preprocessing

  • Using TensorFlow to Build an NLP Model

  • Generating Sample Textual Content

 Flexible

Assignment 3 Due

 11 November 2020 at 6:00PM

Live Session 4


In-Person or via Zoom		 11 November 2020
  • Q & A: Video Lectures 5 and 6

  • Assignment 3 - Solution

  • Certification Exam Prep

7:00PM - 8:30PM

Certification Exam (DL300)

 21 November 2020

In-Class Exam


  • Dubai Knowledge Park, Block 6, Office F02


 3:00PM - 5:00PM
Click Here To Register

Testimonials

Ahmed is an excellent instructor that has elevated my understanding of Python, AI, and Deep Learning. It has encouraged me to further my educational development in this subject which will help me in my profession. Innosoft Gulf is one of the few educational institutes in the GCC that follows current and future developments in IT and AI. I would strongly recommend this to anyone interested.
Gustavo Mauricio Chinchayan
Gustavo Mauricio ChinchayanInernal Auditor
I have completed 2 courses with Innosoft: first the AI professional program and then the Deep Learning Program. I can honestly say that the support and teaching available here is exceptional:
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.
Jordan Asghar
Jordan AsgharResearch and Development Director
Very rewarding course. Rare to find a Deep learning course in Dubai that teaches concepts from scratch and provides practical applications. Will definitely recommend.
Priyanka Ghaghda
Priyanka GhaghdaBS in Math, New York University
A great course with a distinguished teacher: Mr. Ahmed El Koutbia
Dr. Nizar Zarka
Dr. Nizar ZarkaHead of Special Technology Projects at noon.com
It is a great program! It is a hands-on course with many examples providing you knowledge about the algorithms and successful approaches. The best thing about this course is that you learn how to work with data.
Diana Omassi
Diana OmassiIndustrial Engineer
The workshop on big data and machine learning was an excellent introduction to practitioners considering using data science. Ahmed demonstrated considerable teaching talent rooted in his long expertise with systems development.
Dr. Ali Zalzala
Dr. Ali ZalzalaUniversity Professor
Innosoft Gulf Institute is educating students breaking and revolutionary techniques with focus on future trends in CIT industry. Mr. Ahmed is well updated on latest technologies related to Big Data, AI, Machine Learning, etc. Rated as 5 star in terms of overall deliverance.
Vikas Sharma
Vikas SharmaManager, Etisalat
The most important thing is to be convinced of what you are studying. It's not just about teaching... I'm taking four courses at Innosoft Gulf institute, and I think it's much better than my bachelor's degree.
Ahmad TahboubSenior Year Computer Science Student
Innosoft Gulf really gave me a head start for college. The teacher was amazing and I really learned a lot. I highly recommend the Python, Java and Machine Learning courses.
Oshin VatsDistinguished High School Student