Módulos

This program is designed to provide integral training in cloud data science with Microsoft Azure, focusing on data preparation, construction of automatic learning models and implementation of artificial intelligence solutions.

This program prepares participants to obtain international certification:

Azure Data Scientist Associate (DP-100).

Participants will learn to build and operate Machine Learning solutions in the cloud, using Azure Machine Learning and Frameorks to tools for SCIKIT-learning, Pytorch and Tensorflow.

Following the practical Learning Method approach, students will develop practical laboratories, simulations and real projects, ensuring the application of knowledge acquired in a work environment.

At the end of the course, participants will be able to:

• Configure and manage an Azure Machine Learning environment.
• Execute Machine Learning experiments and train models in Azure.
• Optimize automatic learning models and make parameter settings.
• Implement artificial intelligence solutions in Azure and consume models in production.
• Automate Machine Learning workflows with pipes.
• Monitor and evaluate the performance of Machine Learning models in the cloud.
• Obtain the International Azure Data Scientist Associate certification (DP-100).

For optimal use of the course, it is mandatory that the participant has:

• Basic knowledge of Azure, equivalent to the Microsoft Azure Data Fundamental course.
• Experience programming in Python, especially working with data through libraries such as: Numpy Pandas, Matpletlib
• Knowledge in data science, including data preparation and training of Machine Learning models with tools such as: Scikit-Learn, Pytorch, Tensorflow

Learning Methodology

The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.

The instructor (live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.

The methodology seeks that the student does not memorize, but rather understands the concepts and how they are applied in a work environment.

As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.

Conditions to guarantee successful results:

• a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
• b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
• c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.

Pre-enrollment

You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.

Infinity Payments

Make your payment quickly, safely and reliably

- For bank transfer payments, request the details by email capacita@aulamatriz.edu.co.

- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.