AI & MACHINE LEARNING

OVERVIEW

Our AI and Machine Learning course is specifically designed to provide students with the necessary skills and knowledge to understand and implement AI and machine learning technologies. The course includes programming for AI, data structures and algorithms, advanced machine learning, NLP, data analytics, and the theoretical foundations of the field. The practical applications and the latest trends and developments are also covered in the course. In addition, students are required to complete a significant project where they can apply what they have learned to solve a functional problem in AI or machine learning. This project may involve creating a new machine-learning model or developing an AI-based application. The course emphasizes hands-on projects and labs for students to apply their learning practically. The curriculum also includes seminars by industry experts, internships, and research opportunities to keep up with current trends and challenges in AI and machine learning.

COURSE STRUCTURE

#Course CodeCourse
01PT01AIML01Communication Class
02PT01AIML02Physics -1
03PT01AIML03Mathematics - 1
04PT01AIML04Fundamentals of Computer Programming
05PT01AIML05Intro to AI & ML

#Course CodeCourse
01PT02AIML01Python Programming & Problem Solving
02PT02AIML02Linear Algebra & Discrete Mathematics
03PT02AIML03OOPS
04PT02AIML04Machine Learning 2
05PT02AIML05AI - 2

#Course CodeCourse
01PT03AIML01AI Data Mining & Analytics
02PT03AIML02Deep Learning Techniques
03PT03AIML03Data Exploration & Visualization
04PT03AIML04NLP
05PT03AIML05Cryptography
Semester 3 Electives
#Course CodeCourse
06PT03AIML06Virtual Reality

#Course CodeCourse
01PT04AIML01Big Data Management
02PT04AIML02Industrial Internship

CAREER OUTCOMES

The demand for professionals skilled in AI (Artificial Intelligence) and Machine Learning is soaring, as these technologies are increasingly adopted worldwide. Their impact is already evident in various products and services, like digital disease diagnostics, autonomous vehicles, and robotic assistants. AI is poised to be a transformative force in this century.
The need for qualified engineers in this field has more than doubled in recent years, opening up a plethora of opportunities in research and development. Upskilling through online AI and machine learning courses can lead to significant career prospects.
According to an Indeed study, data scientists, machine learning developers, and software technologists are among the most sought-after roles in this sector. These specializations find applications across diverse industries such as healthcare, finance, and retail.

CAREER OPTIONS

Program Name: AI & Machine Learning
Credential: Diploma
Method of Study: Full-time
Duration: 2 Years (4 Semesters)
Batch Starts: September
Available Seats: 6
Domestic Tuition: C$ 7,599.00 (per semester)

ADDITIONAL FEES / PER SEMESTER

DescriptionDomestic Student
MaterialsC$ 1000.00
Student Union FeeC$ 75.00
Technology & Learning ResourcesC$ 350.00

ADDITIONAL FEES / ONE TIME

DescriptionDomestic Student
Application FeeC$ 75.00
Confirmation Deposit (non-refundable)C$ 1000.00
Late Payment FeeC$ 25.00
Certificate/Diploma (percopy)C$ 25.00
Transcript Fee (Up to Five copies of transcript)C$ 25.00

CRITERIA FOR SELECTION

IMPORTANT NOTES