Machine Learning With Python Course

Artificial Intelligence (AI) is gaining more and more significance in our lives over time, essentially reshaping the world with a new array of options and capabilities offered by computers, providing us with solutions that were not conceivable in the past across a vast range of domains.

Through the use of Machine Learning, we can preserve the information we generate and accumulate in all aspects of our lives and activities, enabling us to process this data and extract insights and conclusions from it.

The Python programming language has highly essential advantages that make it the preferred language for numerous projects in the field of artificial intelligence. Consequently, it's evident that more and more startups and companies are developing Machine Learning algorithms using Python. Due to its widespread usage, there is a high demand in the market for experienced developers who are skilled in working with Python in the field of artificial intelligence development.

The Machine Learning Development Using Python course includes:

Frontal lectures with a strong emphasis on practical exercises.
Classroom exercises accompanied by explanations, homework assignments, and solutions on the course website.
Course booklet.
Videos and presentations on the course website.
Lectures take place once a week in the evening hours.

Who is the Machine Learning Development Using Python course suitable for?

College/university graduates who wish to specialize in developing artificial intelligence systems.
Hardware/software/computer science engineers with no experience in this field who are interested in professional reorientation.
Individuals with relevant background and previous experience, including Python programming and working with Linux operating systems.

Our curriculum combines knowledge and practical exercises (a lot of practical exercises) and is comprehensive. The course lessons are focused on the practical knowledge and skills required for the field, developed in collaboration with technology companies in the industry, and are constantly updated according to projects in our development division.

Course Structure

Ch. 1

Introduction to Machine Learning

Ch. 2

Machine Learning Mathematical tools

Ch. 3

Linear Algebra (using Scipy)

Ch. 4

Statistics

Ch. 5

Confusion Matrix, ROC

Ch. 6

Machine Learning Software Tools

Ch. 7

Using Jupyter Notebook

Ch. 8

Model Deployment

Ch. 9

Working with Cloud

Ch. 10

Working with Data-Bases

Ch. 11

Implementing Machine Learning with Python

Ch. 12

Data preprocessing, data exploration

Ch. 13

Data modeling, model evaluation

Ch. 14

Cross Validation

Ch. 15

Decision Trees

Ch. 16

SVM

Ch. 17

Time series, Anomaly Detection

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Meet your instructor

Alex Shoihat

Head of Machine Learning

Alex holds a B.Sc. in Information Systems and an M.A. in Electrical and Electronic Engineering.

As a Machine Learning Engineer at Embedded Academy, Alex specializes in the field of artificial intelligence, applying over 13 years of experience in project development, management, and transitioning from development to production in various domains such as Linux Embedded.

Throughout his career, Alex developed his expertise working with the integration of Machine Learning and Deep Learning in the Computer Vision and Data Analysis field.

What our graduates say

Sarah L.
Machine Learning course graduate

AI/ML developer

The Machine Learning course was super practical, from hardcore algorithms to the ethics of AI. Thanks to the professional connections I met during school got me several job offers to check right after I graduate

Paul N.
Machine Learning course graduate

Machine Learning Engineer

I was initially intimidated by the prospect of learning AI and machine learning because I thought I didn’t have enough mathematical knowledge, but throughout the course my instructor made sure I wouldn’t follow behind. It made a huge difference from other times I experienced with online courses.

Howard E.
AI course graduate

AI Product Manager

As a business leader, the AI/ML program has been instrumental in helping me identify opportunities to leverage intelligent technologies. I've been able to upskill my team and implement data-driven strategies that have given us a significant competitive advantage in the market.

Greg B.
Machine Learning course graduate

Robotics and Automation Specialist

I was impressed by the breadth and depth of the AI/ML curriculum. The hands-on projects, mentorship from industry experts, and exposure to real-world case studies have given me the confidence to apply advanced machine learning methodologies to solve real-world problems.

Leonard H.
AI course graduate

Natural Language Processing (NLP) Specialist

As someone with a background in data analysis, the AI/ML course provided me with the selected skills to take my career forward. I'm now fluent in building and deploying sustainable predictive models that drive strategic decision-making paths.