Online course / Flexible schedule

Artificial Intelligence Bootcamp.

From basic Python knowledge to complete understanding and implementation of Machine Learning algorithms.

10+ HOURS

Self-Paced Learning

1-1 Projects

Mentorship Guidance

Upcoming Cohort Starts in June 2023

TOOLS COVERED

AI Bootcamp Curriculum

Our Bootcamp is designed to teach you the foundations of five main areas of AI:

Skills Gained

Understand all the steps of the lifecycle of a Data Science project
Correctly frame problems within your domain of expertise into a Data Science problem
Utilize effective AI and data-driven tools to solve a real-world problem
Become familiar with industry-grade knowledge in fundamental concepts and tools of Machine Learning and Deep Learning that are used in practice today

What will you learn?

DATA SCIENCE & MACHINE LEARNING
  • Introduction to basic terminology and proper practices of Data Science
  • Foundations of the Data Science project lifecycle
  • Hands-on introduction to Python libraries for Data Science
  • Completion of hands-on project in Data Science & Machine Learning
DEEP LEARNING & COMPUTER VISION
  • Introduction to Artificial Neural Networks (ANN): How to build, train, and evaluate ANNs
  • Hands-on introduction to the Keras & Tensorflow libraries in Python
  • Introduction to Deep Learning and the Deep Learning Roadmap
  • Completion of hands-on project in Deep Learning
  • Foundations of Computer Vision and Image Processing
  • Practical introduction into applications of Computer Vision with OpenCV
  • Foundations of Deep Learning for Computer Vision: How to build, train, and evaluate Convolutional Neural Networks
  • Completion of hands-on project in Computer Vision
NATURAL LANGUAGE PROCESSING & TIME-SERIES ANALYSIS 
  • Foundations of Natural Language Processing
  • Practical introduction into applications of Natural Language Processing
  • Foundations of Deep Learning for Natural Language Processing: How to build, train, and evaluate Recurrent Neural Networks for text sequences
  • Completion of hands-on project in Natural Language Processing
  • Foundations of Time-series Analysis
  • Practical introduction into applications of Time-series Analysis
  • Foundations of Deep Learning for Time-series: How to build, train, and evaluate Recurrent Neural Networks for numerical sequences
  • Completion of hands-on project in Time-series Analysis
PROJECT PRESENTATION

Learn By Doing!

Your course work will be evaluated in a final project presentation. Certificates will only be issued upon the successful submission of the presentation.

Previous project examples include:

  • Insurance medical cost prediction
  • Detecting and classifying vehicles in images
  • Sentiment Analysis on social media posts
  • Householder power prediction
  • 10 Lessons

    Getting Started with Python for Data Science

    In this course, you will get a concise but necessary overview of the Python programming language, specifically with a look into its most used libraries for Data Science - Numpy, Pandas, and Matplotlib.

  • 8 Lessons

    Intro to programming

    The course is designed to provide you with the knowledge needed for you to understand and potentially start using the Python programming language regardless of your background.
  • 10 Lessons

    Getting Started with Python for Data Science

    In this course, you will get a concise but necessary overview of the Python programming language, specifically with a look into its most used libraries for Data Science - Numpy, Pandas, and Matplotlib.

  • 8 Lessons

    Intro to programming

    The course is designed to provide you with the knowledge needed for you to understand and potentially start using the Python programming language regardless of your background.
Fees

$480/ person

Upcoming Bootcamps

Feb 13 to Mar 11

Admissions Closing: Feb 10

June 5 to June 30

Admissions Closing: June 5

Oct 3 to Oct 27

Admissions Closing: Sept 28

Companies we’ve
worked with

Companies we’ve
worked with

Learning Outcomes

Testimonials

A great bootcamp with a lot of theory, practical work and step by step instructions along with incredible mentors. I can now confidently participate and work on Machine Learning project. I learnt a lot from this bootcamp that enhanced all my background skills especially in Machine Learning.

Ali El-Maksoud Full-Stack Web Developer

I come from a non-technical background with some coding practice, and AI was always an interesting yet vague topic for me. I was surprised by how much I was able to achieve in only 7 days! Now, I understand AI in concept, and the code is no longer intimidating.

Dana Fakhreddine Regulatory Analyst at AUBMC

I really want to appreciate and thank you for being such a wonderful Bootcamp, the way you were interacting with students, your way of teaching, it makes learning really interesting and the explanation was outstanding! I want also to thank the mentors for their amazing efforts.

Elie Azar Full Stack Engineer

The AI bootcamp was amazing! It is prepared in a way that provides the participants with a decent skill set of AI and ML concepts that put them in the right path to start a career in AI. And the team is amazing, very friendly, very helpful and supportive. Thank you for this amazing experience!

Farah Haddar Full-Stack Web Developer

This was a phenomenal bootcamp! It introduced many concepts that were very helpful towards starting a career in Artificial Intelligence.

Brandon Scott Copeland English Lecturer - Al Hussein Technical University

Zaka has a unique hands-on learning experience where in a few weeks you learn how to work and evaluate real datasets.

Nour Shams Computer Engineer

It was a great journey. This Bootcamp met my expectation and it was the hook I needed to enter the AI world. The instructors were very friendly and the support we got was on point!

Hiba Abbas Student

A group of extremely knowledgeable and friendly people. The subject is a tough one and the hands-on method of lesson delivery made it super easy to wrap your head around it all.

Maher Halawi Social Listening Analyst