Artificial Intelligence Professional Program

Program Description

Taste of Training

Artificial Intelligence and Big Data 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.

Our Artificial Intelligence Professional Program will enable you to gain the skills, experience and certification you need to be successful as an AI or Big Data Professional.  You will learn the best practices and methodologies of how to conduct leading-edge Artificial Intelligence and Big Data 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.

Dates Delivery Method Instructor's Office Hours Registration Fees
23 January - 13 February 2021 Online Training Saturdays: 3:00PM - 5:00PM 1,925 AED (525 USD)

What You Will Get

KHDA-Accredited Certification

Live Online Sessions
& Office Hours

Lecture Videos

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

Ahmed_Passport_Photo

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 nearly 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 project report).

Course and Certification Schedule

Event Date Description Duration

Live Session (Optional)

Zoom Meeting
23 January 2021
  • Meet and Greet

  • Program Orientation and Logistics
5:00PM - 6:00PM

Lecture Video 1

Week 1
  • Python Environment Setup

  • Data Types, Strings, Lists, Tuples
1h30 min

Lecture Video 2

Week 1
  • Sets, Dictionaries

  • Selection Statements, Loops

  • File Input and Output

  • Functions, Python Modules

  • Object-Oriented Programming – Classes

1h30 min

Lecture Video 3

Week 1
  • Objected Oriented Programming (Code Reuse, Inheritance, Composition)

  • Data Analysis with Pandas

  • Data Analysis with Numpy
2 hours

Lecture Video 4

Week 1
  • Data Analysis with Numpy – Continued

  • Practical Data Analysis Project

2 hours

Assignment 1 Due

11:00 PM, 30 January 2021 Data Processing Project with Python 2 hours

Lecture Video 5

Week 2
  • Introduction to Machine Learning

  • Supervised, Unsupervised and Reinforcement Learning

  • Supervised Learning (Classification, Regression)

  • Linear Regression

  • Building a Predictive Model for a Real Estate Firm
2 hours

Lecture Video 6

Week 2
  • Data Preparation (Handling Missing Values and Categorical Features)

  • Building a Classification Model with Logistic Regression

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

  • Bias-Variance Tradeoff
2 hours

Assignment 2 Due

11:00PM, 06 February 2021 Hands-on Machine Learning Project 3 hours

Lecture Video 7

Week 3
  • Classification – K-Nearest Neighbors (KNN)

  • Tuning a KNN Model

  • Unsupervised Learning – K-Means Clustering

  • Data Visualization with Seaborn and Matplotlib
2 hours

Lecture Video 8

Week 3
  • 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

2 hours

Live Session (Optional)

Zoom Meeting
11 February 2021
  • AI-200 Certification Exam Review
7:00PM - 8:00PM

AI-200 Certification Exam

13 February 2021

  • Online Exam with Oral Interview follow up


3:00PM - 5:00PM

Testimonials