Swiss Quality Education Swiss Quality Education

Developing AI Applications with Python

Dr. Ahmed Qusay Sabri

Course Lecturer

Dr. Ahmed Qusay Sabri

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 Developing AI Applications with Python

4 Live Sessions, 12h total

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Tuesdays 2:30-5:30pm UTC

Click for your local time

Certification Upon Completion

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Quick Facts

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Teaching language

English

Model of Learning

Weekly Live Sessions with Q&A, 4 Hands-on Projects, Self Study Videos

Mode of Delivery

Live Calls, Videos and Text

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Dr. Ahmed Qusay Sabri

Dr. Ahmed Qusay Sabri

Meet Your PhD holder Mentor

Course Overview

In today’s dynamic business environment, integrating artificial intelligence (AI) goes beyond being just a trend, as it represents a pivotal shift defining the future across global industries.

With our online course “Developing AI Applications with Python”, we offer comprehensive skills for mastering AI with Python. Join our course to gain hands-on experience and practical skills over four weeks.

Each week focuses on key areas: data science and dataset preparation, machine learning models, artificial neural networks, and image processing with convolutional neural networks. You’ll work on practical projects like loan approval, serious buyer detection, and image classification.

By the end of this course, you’ll be proficient in preparing datasets, implementing machine learning models, and developing AI applications using Python and Google Colab. Equip yourself with the essential AI skills needed to excel in your career.

Next Cohort

November: Fully booked

December: You can register, dates to be announced

Price

$290

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What you will be taught

Use of Python and Google Colab for Artificial Intelligence Model Design.

Handling AI libraries for Machine Learning.

Structured data set preprocessing for Machine Learning.

Images data set preprocessing for Machine Learning.

Artificial Intelligence Prediction and Decision-Making using Bayes Model.

Artificial Intelligence Prediction and Decision-Making using the Nearest Neighbour Model.

Image processing and Classification using Convolutional Neural Networks CNN.

After Completing this Course, You will:

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1

Preparing Structured Data for Machine Learning

Prepare your structured data set for the use of decision-making machine learning applications.

2

Preparing Image Data for ML

Prepare your image data set for the use of decision-making machine learning applications.

3

Building Robust ML Applications

Make robust prediction and decision-making Machine Learning Python applications.

4

AI Projects with Industrial Experience

AI Projects with Industrial Experience

Who is this course for?

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Individuals with basic knowledge of Python

Individuals with basic knowledge of Python

This course builds on your existing Python skills, teaching you how to apply them in AI, making complex concepts accessible and practical.

Data enthusiasts eager to learn AI

Data enthusiasts eager to learn AI

It provides a structured approach to understanding and implementing AI, offering hands-on projects that allow you to explore data science and machine learning in depth.

Aspiring data scientists

Aspiring data scientists

The course covers essential topics such as machine learning models and neural networks, which are fundamental for a career in data science, giving you a strong foundation to build on.

Professionals in tech and related fields

Professionals in tech and related fields

It equips you with the latest AI techniques and tools, enhancing your ability to integrate AI solutions into your work and stay competitive in the rapidly evolving tech industry.

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Meet Your PhD holder Mentor

Watch Our Introduction

Dr. Ahmed Qusay Sabri

Dr. Ahmed Qusay Sabri is a Professor of Artificial Intelligence with 15 years of teaching and research experience in highly-ranked universities and institutes. Ahmed specializes in Machine Learning with a strong scientific publications record.

Ahmed has strong industrial experience with AI model Design. Ahmed is a Microsoft Certified in C# Programming and SQL Server, reflecting a strong industrial experience scope.

Learning Path

Step 01

Attend Live Sessions

Step 02

Q&A Sessions

Step 03

Watch sessions, Read material, and Submit Quizzes.

Step 04

Receive a Certificate

Step 05

Apply Knowledge in Career or Business

What Students Are Saying

Carlos Hernandez, C++ Developer

Outstanding course. Covers AI with Python in-depth.

Aisha Khan, Data Analyst

A comprehensive course, well-structured. I gained a deeper understanding of Artificial Intelligence and its applications, making this course a valuable resource for anyone in the field.

Sarah Nguyen, Python Developer

Great content, though fast-paced. Beginners might need to supplement with additional resources to keep up.

Professional achievements

15

Years of teaching experience

2000

Students educated

3

Educational Organizations Worked with

5

Published papers on Scopus

AI for Business Leaders and Key Decision Makers

Duration: 4 weeks

4 interactive live sessions

4 in-depth lessons

Guided by PhD professor, expert in AI

Access to course materials

Certificate of Completion

Next Cohort

November: Fully booked

December: You can register, dates to be announced

Price

$290

Enroll now

FAQ