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Introduction to Artificial Intelligence and Machine Learning

Introduction to Data in Machine Learning Types of AI Types of ML Applications of AI and ML Introduction to Python programming Control Structures in Python Best Python libraries for Machine Learning Installation and simple problems in python Summery

NOC Number:

Dr. Saranya Vasanthamani | Author Level 1

What You Will Learn

Course Learning Outcome (CLO):

Students who will complete this course can achieve the following course learning outcomes (CLOs):

  • CLO1: Understand the basic principles of artificial intelligence and machine learning, including the difference between supervised and unsupervised learning, and the concept of deep learning.

  • CLO2: Analyse and interpret data using statistical methods and machine learning algorithms.

  • CLO3: Build and train basic machine learning models, such as linear regression and decision trees, using Python and popular machine learning libraries such as scikit-learn.

  • CLO4: Evaluate the performance of machine learning models and choose appropriate metrics for specific problems.

  • CLO5: Understand the ethical and social implications of AI and ML, including issues related to bias, fairness, and transparency.

  • CLO6: Identify potential applications of AI and ML in various industries and domains, such as healthcare, finance, and e-commerce.

Keywords:

Artificial Intelligence (AI) Machine Learning (ML) Python AI and ML techniques and applications.

Course Description:

Artificial Intelligence (AI) and Machine Learning (ML) are two of the most exciting and rapidly growing fields in computer science today. This module provides an introduction to these topics, covering key concepts, techniques, and applications of AI and ML. The module begins with an overview of AI and its various subfields, including machine learning, natural language processing, robotics, and more. Additionally, it explores how to evaluate machine learning models, and how to use them to solve real-world problems using python.

2 Natural and applied sciences and related occupations
21 Professional occupations in natural and applied sciences
212 Professional occupations in applied sciences (except engineering)
2122 Computer and information systems professionals

The importance of taking NOC courses:

This course is designed to train our students to find jobs in the Canadian labour market using the National Occupational Classification (NOC) and its codes. The Government of Canada developed the NOC to categorize occupational information in the Canadian labour market through a standardized framework and a system that can be easily managed, understood, and unified. Canadian Immigration (i.e., IRCC) uses the NOC to classify jobs and occupations according to specific skill levels. Canada's jobs are ranked according to a person's work and the roles and responsibilities of the job.

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Meet Your Instructor

Instructor
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0 Students
Author Level 1
16 Courses
About Instructor

Prof. Saranya is the Instructor at NSRIC Inc. She is also the Associate Professor in Computer Science Engineering (ENG) at Anna University Colleges. In addition to her current affiliation with NSRIC, she holds freelance faculty positions in some other universities. Prof. Saranya is the founder of Algorithmics Computing Centre in India, She has mentored projects under the Smart India Hackathon for various ministries. She has published journals in reputed articles such as Springer, and many journals indexed by Elsevier. She has also published books in Amazon like Octave by examples, Points to Ponder for Python, and so on. She has also published book chapters about the updating of recent trends by IGI global publishing. In 12 years professional career, Dr, Saranya has Served on academic or administrative committees to deal with institutional policies along with preparing and delivering lectures to undergraduate and graduate students on topics such as programming languages, data structures, networking, software design, AI, Blockchain technologies and so on.

 

Prof. Saranya earned a B.Tech in Information Technology from Anna University, India in 2009, and an M.E in Software Engineering from Anna University in 2011. Dr. Saranya was awarded PhD in Information and Communication Engineering in 2019 and an MBA(Information Systems) degree in 2014 by Bharathiyar University, India.

 

Section Name Lecture Name Lecture Date Lecture Time
(Toronto, Canada - EST Time)
Lecture Time
(Local Time)
Section I (Previous) Session 1 Mon-08-Jan-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 2 Tue-09-Jan-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 3 Mon-15-Jan-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 4 Tue-16-Jan-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 5 Mon-22-Jan-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 6 Tue-23-Jan-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 7 Mon-29-Jan-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 8 Tue-30-Jan-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 9 Mon-05-Feb-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 10 Tue-06-Feb-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Section I (Previous) Session 1 Mon-19-Feb-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 2 Tue-20-Feb-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 3 Mon-26-Feb-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 4 Tue-27-Feb-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 5 Mon-04-Mar-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 6 Tue-05-Mar-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 7 Mon-11-Mar-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 8 Tue-12-Mar-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 9 Mon-18-Mar-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 10 Tue-19-Mar-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Section I (Previous) Session 1 Mon-01-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 2 Tue-02-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 3 Mon-08-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 4 Tue-09-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 5 Mon-15-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 6 Tue-16-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 7 Mon-22-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 8 Tue-23-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 9 Mon-29-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 10 Tue-30-Apr-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Section I (Previous) Session 1 Mon-13-May-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 2 Tue-14-May-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 3 Mon-20-May-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 4 Tue-21-May-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 5 Mon-27-May-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 6 Tue-28-May-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 7 Mon-03-Jun-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 8 Tue-04-Jun-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 9 Mon-10-Jun-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 10 Tue-11-Jun-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Section I (Previous) Session 1 Mon-24-Jun-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 2 Tue-25-Jun-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 3 Mon-01-Jul-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 4 Tue-02-Jul-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 5 Mon-08-Jul-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 6 Tue-09-Jul-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 7 Mon-15-Jul-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 8 Tue-16-Jul-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 9 Mon-22-Jul-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 10 Tue-23-Jul-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Section I (Current) Session 1 Mon-05-Aug-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 2 Tue-06-Aug-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 3 Mon-12-Aug-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 4 Tue-13-Aug-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 5 Mon-19-Aug-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 6 Tue-20-Aug-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 7 Mon-26-Aug-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 8 Tue-27-Aug-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 9 Mon-02-Sep-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 10 Tue-03-Sep-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Section I (Upcoming) Session 1 Mon-16-Sep-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 2 Tue-17-Sep-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 3 Mon-23-Sep-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 4 Tue-24-Sep-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 5 Mon-30-Sep-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 6 Tue-01-Oct-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 7 Mon-07-Oct-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 8 Tue-08-Oct-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 9 Mon-14-Oct-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
Session 10 Tue-15-Oct-24 08:00 PM to 09:00 PM 06:00 AM to 07:00 AM
video
  • Course Duration
    13 Hours 0 Minutes
  • Course Level
    Foundation
  • Discipline
    Information and Communication Technology (ICT)
  • Language
    English
This Course Includes
  • 1 Modules
  • 9 Lectures
  • 2 Quizzes
  • 1 Assignments
  • Full Lifetime Access
  • Certificate of Completion