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Artificial Intelligence Certificate
About Program
*Program has been approved for delivery by top level of industry specialists.
The Artificial Intelligence (AI) Professional Certificate at Sterling College equips students with the technical and conceptual skills needed to build intelligent systems and solve complex problems using machine learning and deep learning. Throughout the program, students will work with Python, TensorFlow, Scikit-learn, and other modern tools to develop models that can learn, adapt, and generate insights from data.
Learners will explore core areas such as supervised and unsupervised learning, neural networks, natural language processing (NLP), and computer vision. The program emphasizes practical, hands-on experience to ensure that students can apply their knowledge in real-world scenarios across industries like finance, healthcare, retail, and automation. Upon completion, students will earn a Professional Certificate in Artificial Intelligence, making them ready for exciting roles in the rapidly growing AI job market.
Program Details
Upon successful completion of the program, graduates will be positioned to enter careers such as AI Developer, Machine Learning Engineer, Data Analyst (AI), NLP Specialist, Computer Vision Assistant, and many more!
Program Name
Artificial Intelligence
Start Date
Fall, Winter, Summer
Program Cost
$2000
Program Format
Online / Onsite
Program Length
40 hrs
Credential
Certificate
Program Outline
Understand the difference between Artificial Intelligence, Machine Learning, and Deep Learning
Explore real-world AI use cases across industries
Learn Python basics: variables, loops, functions, and control structures
Work with NumPy and Pandas for data manipulation
Study linear algebra concepts: vectors, matrices, dot product
Understand basic probability and statistical distributions
Clean and preprocess data using Python tools
Visualize data using Matplotlib and Seaborn
Understand supervised learning: Linear & Logistic Regression, Decision Trees
Learn unsupervised learning: K-Means Clustering, Hierarchical Clustering, PCA
Practice model evaluation techniques: Accuracy, Precision, Recall, F1 Score
Avoid overfitting/underfitting using Cross-Validation
Implement models using Scikit-learn
Build a predictive model using real-world datasets
Complete a mini project: e.g., house price prediction or customer segmentation
Learn the fundamentals of neural networks and perceptron
Understand forward and backpropagation
Build basic deep learning models using TensorFlow and Keras
Understand CNNs for image classification
Learn RNNs and LSTMs for sequence data
Understand NLP concepts: tokenization, stopwords, stemming, TF-IDF
Perform sentiment analysis using deep learning models
Build a text classification or image recognition project
Explore generative AI tools (e.g., ChatGPT, OpenAI APIs)
Learn prompt engineering for different use cases
Understand AI ethics, fairness, and bias in decision-making
Study practical AI applications in healthcare, retail, finance, and marketing
Plan, build, and present a complete AI project (Capstone)
Deploy your project to GitHub as part of your portfolio
Receive career guidance and resume optimization tips
Get certified and prepare for freelancing or job applications
Program Requirements
All students are required to meet the following admissions requirements:
- Graduation from Grade 12 or equivalent (B.C. high school diploma, B.C. Adult Graduation Diploma, General Educational Development) or an equivalent secondary school completion from another jurisdiction; or
- Mature student status (19 years of age or older before the start of classes). Mature students will be interviewed by the Program Administrator to determine if the student has the appropriate level of literacy, numeracy, comprehension and/or written skills to enable successful completion of the program. Applicants may be required to submit a resume, school transcripts and/or letters of recommendation.
- If English is not the first language, students are requested to have one of the following to qualify for enrolment to this program
- IELTS score of 6.0 or an equivalent English language benchmark verified by the institution
- For domestic students, Canadian citizenship or landed immigrant status is required. International students are required to possess a valid study visa, for programs longer than six months and prior to the program start date. International students are also required to have sufficient accident and medical insurance coverage to cover any injuries or illnesses that may occur during the educational term.
How to Apply
Upon successful completion of the program, graduates will be positioned to enter careers such as AI Developer, Machine Learning Engineer, Data Analyst (AI), NLP Specialist, Computer Vision Assistant and many more!
- Copy of High School Diploma or GED
- Please review and download a copy of the sterling college student handbook
Tuition And Fees
| Program Name | First Year | Second Year | Diploma in Network Administration (1 Year) | Tuition Fee: $25,000 | NA |
| Diploma in Network Administration with Co-Op ( 2 year) | Tuition Fee: 1st Year $ 19,000 | 2nd Year $15,000 |
Tuition fees are pending approval and subject to change.
All Programs* An additional college application fee of $200 for domestic students and $300 for international students will be payable at the time of registration.
International Students: There is an additional fee of $635 for health insurance required for all international students.
For full details on program fees and tuition please visit our program fees page.
Our Process
Complete our online application form
We will review your application.
Once accepted, we will send you an offer later and payment details.
Once we receive payment, we will send you a letter of acceptance.
If you are an international student you can now apply for a study permit.
You are now ready to start your program!
