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Artificial Intelligence Bootcamp

Online Course | Flexible Schedule
From basic Python knowledge to complete understanding and implementation of Machine Learning algorithms.
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Skills Gained

Understand Data Science

Understand all the steps of the lifecycle of a Data Science project

Solve Your AI Challenges

Correctly frame problems within your domain of expertise into a Data Science problem

Utilize AI Tools

Utilize effective AI and data-driven tools to solve a real-world problem

Empower Yourself With AI

Become familiar with industry-grade knowledge in fundamental concepts and tools of Machine Learning and Deep Learning that are used in practice today
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Program Curriculum

Our 4 weeks Bootcamp is designed to teach you the foundations of five main areas of AI

1 Week

Data Science & Machine Learning

Skills Gained

  • 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

1 Week

Deep Learning & Computer Vision

Skills Gained

  • 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

1 Week

Natural Language Processing & Time-Series Analysis

Skills Gained

  • 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

1 Week

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

OUR ALUMNI

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AI Bootcamp - Riyadh

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AI Bootcamp - Amman

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AI Bootcamp - Lebanon

Learning Outcomes

  • Explain the foundations of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Time-series.
  • Build full AI and data-driven solutions to real-world problems using powerful Python libraries.
  • Discover advanced concepts in the field through autonomous research.
  • Select the correct tools for solving a given problem.
  • Develop the qualities needed to pursue future Data Science projects in your corresponding workplaces and areas of expertise.

Upcoming Bootcamps

June 10 to July 7

Admissions Closing: May 25

Oct 3 to Nov 7

Admissions Closing: September 18

PRICE

PER PERSON

$480

Different financing options available

  • Project Mentoring
  • Flexible learning environment
  • 10+ hours of training on the content hub
  • Build AI and data-driven solutions
  • 10+ hours of interactive office hours
  • One-on-one project mentorship
  • Ongoing support on our communication channels
  • Lifetime access to cheat sheets and coding material
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