From basic Python knowledge to complete understanding and implementation of Machine Learning algorithms.
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BOOTCAMP CURRICULUM
Our Bootcamp is designed to teach you the foundations of five main areas of AI:
Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Time Series Analysis
SKILLS GAINED
Understand all the steps of the lifecycle of a Data Science project
Become familiar with industry-grade knowledge in fundamental concepts and tools of Machine Learning and Deep Learning that are used in practice today
Utilize effective AI and data-driven tools to solve a real-world problem
Correctly frame problems within your domain of expertise into a Data Science problem
Prerequisite
This AI Bootcamp is suitable for participants of all backgrounds given they are comfortable with programming.
We recommend this program for individuals who are:
Looking for an introductory course in applied AI in order to innovate in their line of work or studies.
Seeking to discover new technology advancements.
Aiming to improve their knowledge and experience through certified programs.
PROGRAM Roadmap for a successful AI PROGRAM
Week 1
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
Week 2
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
Week 3
NATURAL LANGUAGE PROCESSING & TIME-SERIES ANALYSIS & PROJECT PRESENTATION
● 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
Week 4
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
Not sure if you're ready to start your Artificial Intelligence journey yet?
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Tools covered
Upcoming Bootcamps
Invest in yourself TODAY!
$480
1. Flexible learning environment
2. 10+ hours of training on the content hub
3. Build AI and data-driven solutions
4. 10+ hours of interactive office hours
5. One-on-one project mentorship
6. Ongoing technical support on our communication channels
7. Lifetime access to cheat sheets and coding material
Partners
COmpanies we've worked with
LEARNING OUTCOMES
By the end of the AI Bootcamp, you will be able to:
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.
TestimonialS
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 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 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
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
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
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
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
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
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