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Full-time

MicroMaster in A.I. & Programming

Curriculum

From Novice to Pro in 16 weeks

Web Fundamentals with JS

Full-Time | Mon - Fri | 2 Weeks

Whether your aim is to build mobile applications or to develop artificial intelligence algorithms, one of the key fundamental technologies that you must acquire before entering the world of programming is Web technologies.

This course will cover these fundamental, yet important, knowledge:

  • JavaScript
  • HTML
  • CSS
  • Bootstrap
  • Data Structures & Algorithms
  • P5.js
HTML
CSS3
JavaScript
Bootstrap
p5.js

Web Server Programming

Full-time | Mon - Fri | 4 Weeks

Learning HTML, CSS and JS would be sufficient to create a simple personal website. However, dynamic, interactive web applications such as Facebook or OpenRice would require knowledge of web server programming.

This course covers the in-depth knowledge of the following:

  • Node
  • Typescript
  • Express
  • PostgreSQL
node.js
TypeScript
Express
PostgreSQL

Backend & AI Development

Full-time | Mon - Fri | 5 Weeks

Most web applications are significantly more complex on the server side than it may seem from the user interface. The domain of developing backend applications which performs data processing, storage and analysis is known as backend development. This module also includes Machine Learning and Deep Learning for students to master Artificial Intelligence development.

This course covers the in-depth knowledge of the following:

  • Jest
  • Knex
  • DevOps
  • Python
  • Tensorflow
Jest
Knex.js
AWS
Python
Tensorflow

Frontend Development

Full-time | Mon - Fri | Elective | 5 Weeks

A web application will not be successful without providing users with an interactive user interface and seamless user experience. The knowledge and use of Single Page Application (SPA) technology is necessary to achieve this.

This course covers the in-depth knowledge of the following:

  • React
  • Redux
  • Docker
  • React Testing and Deployment
React
Redux
Docker

Data Engineering

Full-time | Mon - Fri | Elective | 5 Weeks

Data science seeks insight from the enormous amount of data. The real question is, where do all these data come from? Collecting, organizing and storing huge amount of data is the daily life of a professional Data Engineer. To kickstart a career in the data profession, learning to work with big data is one of the most important skill one can have. Data Engineer is the role every aspiring data scientist should work in.

This course covers the in-depth knowledge of the following:

  • Docker
  • Apache Spark
  • Apache Kafka
  • Mongo DB
Apache Spark
MongoDB
Docker
Apache Kafka
Airflow
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