Advanced Diploma in AI, Deep Learning &
Natural Language Processing
This 740-hour advanced diploma provides comprehensive training in artificial intelligence, deep learning, and natural language processing (NLP), equipping students with the skills required to develop intelligent systems and AI powered
applications.
Students learn data analysis, machine learning, NLP model development, data engineering, and MLOps while working with
modern tools like PySpark, Databricks, and GitHub.
What to expect:
Mode of Delivery
Combination of Online Synchronous (instructor-led sessions with real-time labs) & Online Asynchronous (self-paced content and cloud-based lab access)
Duration
37 weeks / 740 hours
Tuition
Local $15,198 / Intl $17,698 CAD
Certification
Diploma
Intake
Semester
Admission Requirements
Applicants must meet one of the following criteria:
1. Education
- High school diploma or equivalent (OSSD or internationally recognized qualification)
- Basic knowledge of IT or prior coursework in computer fundamentals recommended.
- Good skills in Mathematics or Statistics is required.
- English proficiency equivalent to IELTS 6.0 or higher (if applicable)
OR
2. Work Experience in a Related Field
- A minimum of twelve months of relevant fulltime work experience in programming, data analysis, software development, or related
technical roles. - Applicants without a related credential may be assessed based on experience and successful completion of a college administered
technical assessment.
3. English Language Proficiency (if applicable)
- For applicants whose first language is not English:
- IELTS Academic: Minimum 6.5 overall (no band below 6.0), or
- TOEFL iBT: Minimum 88, or
- Other equivalent approved language tests
Recommended Skills and Background (not mandatory)
- Proficiency in programming (Python preferred)
- Understanding of linear algebra, calculus, or probability
- Interest in artificial intelligence, machine learning, and language technologies
Key Skills and Competencies:
- Design, develop, and deploy ML and DL models
- Implement NLP and Generative AI solutions
- Use modern data engineering tools and workflows
- Track, version, and monitor AI experiments
- Collaborate effectively using Git and agile practices
- Perform data engineering with PySpark and Databricks
- Deploy models and track with MLOps
- Demonstrate their skills in a real-world capstone project
Job Market Potential
Median Income:
Professionals in AI and NLP can expect salaries between $70,000 and $110,000 annually, with opportunities to grow into senior and research-oriented roles with higher earning potential.
Possible Job Titles:
AI Engineer, NLP Developer, Machine Learning Engineer, Data Scientist, MLOps Engineer, Data Engineer, AI Research Associate