Artificial Intelligence Professional Program

Program Description

Meet the Instructor & Data Scientist

Data Science and Artificial Intelligence are some of the most highly sought after skills in the High-Tech Industry. The demand for data scientists is increasing so quickly, that McKinsey predicts that in the near future, there will be a 50 percent gap in the supply of data scientists versus demand.

Artificial Intelligence Professional Program will enable you to gain significant skills and experience in Data Analysis, Data Visualization, and Machine Learning using Python Programming Language.  Furthermore, you will learn the best practices and methodologies of how to conduct leading-edge data science and artificial intelligence projects, and be mentored by some of the best experts in the field.

This program is accredited by the Knowledge and Human Development Authority (KHDA) of Dubai.

Description Dates Timing Location
Instructor-Led Training

(In-Person & Live Webinars)
10, 11, 13, 14, 17, 18, 19, 20 April 2023 2:00 PM - 4:30 PM Dubai Knowledge Park

26 April 2023 2:00 PM - 4:00 PM Dubai Knowledge Park

What You Will Get

KHDA-Accredited Certification

Career Opportunities

Instructor-Led Training

Practical Projects

AI Professional Program Description
Course I - Python Programming Click Here for More Details
Course II - Python for Data Science and Machine Learning Click Here for More Details
Certification - Innosoft Certified AI Professional (AI-200) Exam Click Here for More Details

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 Ahmed does at Innosoft Gulf involves teaching, consulting and research in Deep Learning, Machine learning and Big Data. In the last couple of years,  he has trained hundreds of professionals in these areas.  To develop a local community of AI and Big Data professionals  in March 2017 he started one of the largest meet-up groups in Dubai: Innosoft Gulf – Big Data and Artificial Intelligence. At the moment, this active meet-up group has more than 4,000 members. After completing his Bachelor’s degree in Information and Decision Science at the University of Illinois at Chicago in 1996, he 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, Ahmed 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, he is pursuing graduate studies in AI at Stanford University, where he worked recently on a self-driving project that uses Fully Convolutional Neural Networks for Automated Traffic Lane Detection. Click here to download the article.

Course and Certification Schedule

Event Date Timing Description

Session 1

In-Person & Live Webinar
Week 1 7:00 PM - 9:30 PM
  • Program Orientation and Logistics

  • Python Environment Setup

  • Data Types, Strings, Lists, Tuples

Session 2

In-Person & Live Webinar
Week 1 7:00 PM - 9:30 PM
  • Sets, Dictionaries

  • Selection Statements, Loops

  • File Input and Output

  • Functions, Python Modules

  • Object-Oriented Programming (Classes and Objects)

Session 3

In-Person & Live Webinar
Week 2 7:00 PM - 9:30 PM
  • Objected Oriented Programming (Code Reuse, Inheritance, Composition)

  • Data Analysis with Pandas

  • Data Analysis with Numpy

Session 4

In-Person & Live Webinar
Week 2 7:00 PM - 9:30 PM
  • Data Preprocessing (Handling Missing Values and Categorical Features)

  • Practical Data Analysis Project

  • Data Visualization with Seaborn and Matplotlib

Assignment 1

Due at the end of Week 2 Due at 11:59 PM Data Processing with Python

Session 5

In-Person & Live Webinar
Week 3 7:00 PM - 9:30 PM
  • Introduction to Machine Learning

  • Supervised, Unsupervised and Reinforcement Learning

  • Supervised Learning (Classification, Regression)

  • Linear Regression

  • Building a Predictive Model for a Real Estate Firm

Session 6

In-Person & Live Webinar
Week 3 7:00 PM - 9:30 PM
  • Building a Classification Model with Logistic Regression

  • Evaluating Classification Models (Accuracy, Precision, Recall, F1-Score)

  • Bias-Variance Tradeoff

Session 7

In-Person & Live Webinar
Week 4 7:00 PM - 9:30 PM
  • Classification – K-Nearest Neighbors (KNN)

  • Tuning a KNN Model

  • Unsupervised Learning – K-Means Clustering

Session 8

In-Person & Live Webinar
Week 4 7:00 PM - 9:30 PM
  • Introduction to Deep Learning

  • Neural Network Representation

  • Forward Propagation

  • Activation Functions

  • Cost Functions

  • Back-Propagation with Gradient Descent

  • Solving an Image-Classification Problem with Deep Learning

Assignment 2

Due at the End of Week 4 Due at 11:59 PM Hands-On Data Analysis, Data Visualization and Machine Learning Project

AI-200 Certification

Week 5 7:00PM - 9:00PM Performance Based Certification Exam on Data Analysis, Data Visualization and Machine Learning