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Cross-Skilling

Start your Machine Learning career!

Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.

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Duration

6 weeks

  • 4 weeks of Technical training
  • 2 weeks of career enablement

Enrolled By

January 2022

Get access to the classroom after passing the assessment

Qualifying for

Check all the jobs you will get access to
More Details

This course will qualify you to work as:

  1. Machine learning Engineer
  2. Data Scientist
  3. MLOps Engineer

Prerequisites

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More Details
  1. Intermediate Python programming knowledge, including at least 40 hours of programming experience
  2. Familiarity with data structures like dictionaries and lists
  3. Experience with libraries like NumPy and pandas
  4. Basic knowledge of probability and statistics, including experience calculating the probability of an event
  5. Familiarity with terms like the mean and variance of a probability distribution

Provided by

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What You Will Learn

Jobs you will able to work for

After graduating from this course, you will be able to join the market as

Machine learning Engineer 100%
Data Scientist 100%
MLOps Engineer 100%

Why Agile?

Identify the importance of the Agile in the tech fields

Agile vs Traditional Management

Compare Agile versus the more traditional Waterfall approach to product development

Extra Training of

Agile Management

Agile Planning

Compare, Evaluate and Contrast Scrum, Kanban, and XP

Build and Evolve Agile Teams

Identify an Agile team’s core roles, optimal size, structure, and cross-functional skills

Enjoy our

Career Readiness Privileges

Resume Review

Get a detailed resume review from an industry professional.

LinkedIn Review

Get a customized review of your LinkedIn profile from an industry professional.

GitHub Review

A technical professional will help you organize your profile to showcase your projects and skills.

Watch our graduates’ stories!

Program Success Stories

Jirar Kamel
Data Analysis Graduate (Challenger & Professional)
Ahmed El-Saddek
Data Analysis Graduate (Advanced & Expert)
Mina Makram
Web Development Graduate (Professional Track)
Abdelrahman Magdy
Freelancer – Web Development Graduate (Professional & Advanced)
Ahmed Gharib
Data Analysis Graduate (Challenger & Professional & Advanced)
Mohamed Samir
Digital Marketing Graduate (Advanced Track)
Maha Zanaty
Digital Marketing Graduate (Advanced Track)
Mohamed Mahmoud
Web & Digital Marketing Graduate (Challenger – Professional)

Why should I enroll?​

As more and more companies are looking to build machine learning products, there is a growing demand for engineers who are able to deploy machine learning models to global audiences. In this program, you’ll learn how to create an end-to-end machine learning product. You’ll deploy machine learning models to a production environment, such as a web application, and evaluate and update that model according to performance metrics. This program is designed to give you the advanced skills you need to become a machine learning engineer.

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