Phone: +1 (506) 635-3000
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 Code | Course |
---|---|---|
01 | PT01AIML01 | Communication Class |
02 | PT01AIML02 | Physics -1 |
03 | PT01AIML03 | Mathematics - 1 |
04 | PT01AIML04 | Fundamentals of Computer Programming |
05 | PT01AIML05 | Intro to AI & ML |
# | Course Code | Course |
---|---|---|
01 | PT02AIML01 | Python Programming & Problem Solving |
02 | PT02AIML02 | Linear Algebra & Discrete Mathematics |
03 | PT02AIML03 | OOPS |
04 | PT02AIML04 | Machine Learning 2 |
05 | PT02AIML05 | AI - 2 |
# | Course Code | Course |
---|---|---|
01 | PT03AIML01 | AI Data Mining & Analytics |
02 | PT03AIML02 | Deep Learning Techniques |
03 | PT03AIML03 | Data Exploration & Visualization |
04 | PT03AIML04 | NLP |
05 | PT03AIML05 | Cryptography |
Semester 3 Electives
# | Course Code | Course |
---|---|---|
06 | PT03AIML06 | Virtual Reality |
# | Course Code | Course |
---|---|---|
01 | PT04AIML01 | Big Data Management |
02 | PT04AIML02 | Industrial 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
- AI Research Scientist
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Assistant
- NLP Engineer
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
Description | Domestic Student |
---|---|
Materials | C$ 1000.00 |
Student Union Fee | C$ 75.00 |
Technology & Learning Resources | C$ 350.00 |
ADDITIONAL FEES / ONE TIME
Description | Domestic Student |
---|---|
Application Fee | C$ 75.00 |
Confirmation Deposit (non-refundable) | C$ 1000.00 |
Late Payment Fee | C$ 25.00 |
Certificate/Diploma (percopy) | C$ 25.00 |
Transcript Fee (Up to Five copies of transcript) | C$ 25.00 |
CRITERIA FOR SELECTION
- High school graduate
- Capability to function effectively and achieve output under set deadlines
- Capacity to be a fast learner (openness toward learning)
- Mindset towards precision work
- Ability to work in a team
- Ability to handle an intense program
IMPORTANT NOTES
- All tuition & fees are subject to adjustment at any time
- Weekly, per-course, or per-credit charges will not exceed full-time tuition and fees for the courses included in the program’s term
- All tuition & fees are charged and refunded in compliance with the CAM Student Contract