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Part-time

Introduction to AI

Courses > Part-time > Master > Introduction to AI

300.00

Location:
Code
IT-13-22p
MQF Level
-
Credits
-
Duration
8 hours
Schedule
Tuesdays & Thursdays
Time
5pm till 7pm
Mode of Delivery
Online

Description

Schedule

Course Title Introduction to AI
MQF /
ECTS /
Duration 8 hours
Start Date Starting date 13th October
Tuesdays & Thursdays
Prospected End date 22nd October
Lecturer Name Thomas Gatt
Mode of Delivery‚   Online
Time of Lecture‚   5:00- 7:00pm (twice a week)
Coordinator Isabelle Camilleri
Contact Email [email protected]‚  
Certification‚   Applicable if student achieves a minimum of 70% attendance‚  
Attendance‚   Attendance is recorded through Classter, students are required to have an EID to register on this system prior to course commencement.

Applications will close on 4th October

 

Course Rationale

This is an introductory course provided by MCAST to help students familiarize themselves with Artificial Intelligence and how such emerging technologies work and are used in modern society.

Learners will be able to:

    • Apply AI concepts to solve real-world problems.
    • Analyse the differences between the various machine learning algorithms.
    • Design a simple AI Neural Network.
    • Analyse AI trends and its implications in society.

Although this is an introductory course and not geared towards technical engineers, upon completing the course, learners should be equipped with knowledge to understand how Artificial Intelligence works, what are the most common Machine Learning strategies, how AI can impact society, and how common real world problems are solved through AI.

 

Entry Requirements

No entry requirements.

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