This one-year Post‑Graduate Diploma delves deeply into AI and ML, covering intelligent agents, supervised/unsupervised/reinforcement learning, deep neural networks, and big data tools. It includes hands-on projects applying Python libraries to develop AI solutions in virtual environments, generating synthetic data, and training models. Students learn algorithm development, model evaluation, and data preparation. The program prepares graduates for careers in AI, machine learning, and data science within modern tech sectors. Emphasis on applied skills offers a strong foundation for professional and entrepreneurial roles in emerging technology fields.
🎯 Objectives
- Understand AI foundations (agents, logic, search strategies)
- Learn ML techniques: supervised, unsupervised, and reinforcement learning
- Build and train neural networks and deep learning models
- Analyze and visualize big data using Python libraries
- Gain hands-on experience with AI frameworks and predictive modeling
- Complete a capstone AI/ML project [turn0search0]
💼 Career Options
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Big Data Analyst
- Information Systems Specialist (NOC 21231)
🏫 Admission Requirements
- College diploma or university degree (any field)
- English proficiency
- Possibly WES, ICAS, or WES credential evaluation for foreign credentials
💵 Salary Range: Data Science/ML roles: CAD $65,000–$150,000+ depending on experience; entry ~ $65K, senior up to $150K+
📅 Duration: 50 weeks
🖥️ Delivery Format: Online
🧪 Practicum: Includes capstone projects per module
