Artificial Intelligence Course Ai Lab School

Exclusively for Mexicans because of the type of work visa we handle for our placement program.

In 9 months change your life and transform yourself into a programmer of artificial intelligence. We give you the practical basics and place you in technology companies in Silicon Valley such as Meta, Google y Amazon.

Ai Lab School es un artificial intelligence course with a duration of 9 months of hands-on development education in Artificial Intelligence based programming.

During the course we work on the following frameworks Keras and YOLO.

MEET THE ARTIFICIAL INTELLIGENCE PROGRAM
IN STAGES

Work in the artificial intelligence industry in less than 9 months
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    Stage 1)

    Artificial Intelligence Training

    4 months of AI training, learn:

    • Programming in Python
    • Data science
    • Machine learning

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    Stage 2)

    Portfolio Strengthening

    Gain experience working on AI projects with multinational companies:

    • Work on projects with the most innovative companies
    • Strengthen your portfolio
    • Letter of recommendation

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    Stage 3)

    Recruitment and positioning

    Position yourself as an expert in the AI industry:

    • Strengthen your resume
    • Job vacancies
    • Career Coach
    • Connection to work in silicon valley

A complete circuit where:
You learn, you practice, you work

FREQUENT QUESTIONS

What are the requirements?

  1. Be Mexican, because of the type of visa we handle for our placement program.
  2. Knowledge of Python semantics
  3. Have basic or intermediate Python experience
    Principles of linear algebra

Don't have a visa?

At the end of the 3-month educational program, you enter the second phase of our placement program, where we help you build a solid resume and connect you with companies for your first interviews.

Once you accept the job offer, we will help you apply for a special work visa for Mexicans.

In addition, we offer housing to ease your transition from Mexico to Silicon Valley.

Do you want to stay at home?

We also have the option of working in Mexico.

What are the dynamics of the course?

On-line and live course with instructor, Saturdays from 12:00PM to 3:00PM.

They work in weekly periods, developing projects based on Ai. In each class the results of the projects are evaluated and new methodologies of use are shown. At the end of the course a final exam is presented which qualifies aptitudes and programming level. This information is vital for the creation of Curriculum.

Our team of instructors is made up of programmers who currently work for technology companies such as: Facebook, Google and Amazon.

Course date?

Start date: January 2023

16 weeks
1 class per week (3 hours)
Saturdays from 12:PM to 2:PM
Total hours: 36 Hours
Location: Online (via zoom)
Limited space.

How much is the investment in the program?

Program Investment:

More than a course, Ai Lab School is an investment in your growth.

Investment of the program is 33,000 MXN. Ask about our scholarship and financing plan. There are scholarships of up to 50% plus payment options once we place you in a job.

Registration fee is 12,000 MXN. Make your reservation with 2,000 MXN.

* We have 2 forms of payment:

1) Pay with work by developing your Artificial Intelligence portfolio.

2) Pay in installments

For more information about our payment plan schedule a video call with a counselor: https://calendly.com/ailabschool-admision/30min

How does the Scholarship Program work?

A preliminary interview is conducted to evaluate the economic status of the applicant and determine the scholarship percentage.

The amount of the program can be paid with the different options we offer:

  • Pay with work at Ai Lab School
  • Pay in installments

CONTENTS

Online Course (3 Modules: 5 months)

Machine Learning Module

Artificial Intelligence for Beginners: Applications and Scope

  1. Artificial intelligence
  2. Machine learning
  3. Deep learning

Introduction to linear classification

  1. Design of a simple binary classifier

3. Introduction to artificial neural networks

  1. Artificial neurons: Brief history and basic theory
  2. Perceptron: Mathematical fundamentals and implementation
  3. Adaptive linear neurons: Mathematical foundations and implementation.

4. Densely connected neural networks

  1. Underlying mathematical theory
  2. Implementation of a densely connected neural network to classify images of handwritten digits belonging to the MNIST ("Hello World") database.

5. Convolutional Neural Networks 

  1. Basic theory
  2. Implementation of a convolutional neural network in a biometric recognition problem.
  3. Transfer of learning
  4. Data enhancement
  5.  Deployment of a convolutional neural network model in a web app.
  6. Web service creation using Flask
  7.  Web app configuration
  8.  Encoder-decoder type architectures
    1.  Basic theory
    2.  UNet Architecture
    3.  Implementation of the UNet architecture in a semantic segmentation problem.

6. Recurrent neural networks and their use in sequential data processing.

  1. Basic theory
  2. Implementation of recurrent neural networks to address sentiment analysis and temperature prediction problems.

7. Antagonistic generative networks

  1. Basic theory
  2. Implementation of an antagonistic generative network to generate synthetic data.

Data Science Module

1. Introduction to pandas and numpy

2. Time series, Azure data factory

3. ML with Python

4. Using sagemaker for modeling and implementation

Python module

Unit 1 Duration Python and its features

  • programming and Python syntax,
  • Installation of local Python idle and pycharm.
  •  Python input and output (print, input)
  • Conditional if, else, elif
  • Creation of a project based on decision making.

Unit 2 Data processing

  • Lists and vectors
  • For and while loops and their application in mathematical operations
  •  Functions with and without arguments
  • Creation of a statistical operations system

Unit 3 Graphical interfaces

  • Graphical interface design with tkinter
  • Applied mathematical algorithms with graphical interfaces
  •  Development of modules and libraries

Unit 4 Project development

  • Prediction algorithm with naive Bayesian statistical algorithm

We have more than 50,000 vacancies active in companies in the United States and Mexico

Schedule an informative video call

Meet our team

Hugo Alejandro Cen

Executive Director of Ai Lab School

Business Development

Ivan Lozano

Programming Engineer in Artificial Intelligence.

Robotics Engineer at Vicarious AI

Raul Aguilar

Development of applications based on machine/deep learning

Machine Learning Consultant at Biometría

Sarai Morales Beltran

Ai Lab School Educational Counselor - Educational career development and counseling during the process.

Ai Lab School Educational Advisor

Cesar Araiza

Ai Lab School Educational Counselor - Educational career development and counseling during the process.

Ai Lab School Educational Advisor

Kasandra

Ai Lab School's Community Builder - Community development through events and high value content.

Machine Learning Consultant at Biometría

Schedule a Video Call
Reserve your spot today!

Let us know your email address and you will be able to acquire a scholarship of up to 50% discount, through a socioeconomic study.