The Lambton College Artificial Intelligence and Machine Learning, Ontario College Graduate Certificate provides comprehensive knowledge, skills, and training in the utilization of Artificial Intelligence (AI) and Machine Learning (ML) to solve significant business problems such as advanced trend analysis, generating business intelligence, digital automation, and intelligent manufacturing. As artificial intelligence (AI) continues to rapidly transform the way organizations and people work, businesses continue to have great demand for a variety of skill sets and disciplines to create new workflows within manufacturing and industry. The shortage of skilled professionals remains the single most significant challenge facing AI and ML adoption by businesses.
Program curriculum includes development of AI and ML models to identify patterns, provide insights, recommend actions or perform tasks. Students design and apply AI and ML systems that will take into account an organization's manufacturing and automation needs. As team communication in AI and ML is essential for organizational success, students learn applied project management skills, in addition to reporting communications and recommendations for various audiences, stakeholders and purposes.
Fall 2023 Delivery Format
Term 1 classes will be delivered in person and students will be required to be on campus for the duration of the term. The 2023 Fall term begins on September 6. However, to allow for travel delays, classes will be remote until September 16. Students must be on campus to join in-person classes starting September 18, 2023.
This Lambton College program is licensed to and delivered by Cestar College (PDF), a licensed private career college in Toronto, Ontario. Students that are registered at Lambton in Toronto are students of a public college and as such, will receive full credit from
Lambton College for all Lambton College courses completed at the Cestar College campus in Toronto. Students who meet program graduation requirements will graduate with a credential from Lambton College. Students may be scheduled to have classes on Saturdays.
See Course List
Admission Requirements
A university degree in the information technology field.
The admissions process is competitive and meeting the minimum academic requirements does not guarantee admission.
Lambton College reserves the right to alter information including admission requirements and to cancel at any time a program or course; to change the location and/or term in which a program or course is offered; to change the program curriculum as necessary
to meet current competencies or changes in the job market; to change the pathways third-party certification bodies; or to withdraw an offer of admission both prior to and after its acceptance by an applicant or student because of insufficient applications
or registrations or over-acceptance of offers of admission. In the event Lambton College exercises such a right, Lambton College’s sole liability will be the return of monies paid by the applicant or student to Lambton College.
English Language Requirements
Applicants must demonstrate language proficiency by submitting one of the following scores:
- IELTS of 6.5
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IELTS of 6.0 + Completion of EAP-3106 (English for Academic Purposes) during first term of study.
- TOEFL iBT 79
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TOEFL 70 + Completion of EAP-3106 (English for Academic Purposes) during first term of study.
- Passed Lambton Institute of English placement test
Please Note: IELTS is the only proficiency score accepted by the Study Direct Stream (SDS) program. Additional country-specific requirements may also be applicable.
Meeting the minimum English requirements does not guarantee admission. Students with higher English proficiency scores will receive priority in the admission assessment process.
Not all students will qualify for EAP-3106 in place of the required IELTS or TOEFL test scores.
Technology Requirements
In order to keep pace with the requirements of each and every course in your program, it is mandatory to own a reliable laptop to complete tests and assignments.
Course List
AML-1114: Data Science and Machine Learning
This course introduces the fundamentals of data science and machine learning. The theory part includes the statistical and mathematical concepts that are essential for artificial intelligence (AI) and machine learning (ML). The laboratory portion is designed to provide a practical application of the covered topics to Canadian business and industry challenges.
AML-1214: Python Programming
This course introduces the core concepts of Python programming. The theory part includes an introduction to python and its properties, primitive data types, modules, functions, loops, and conditions. The laboratory portion is designed to provide students with the opportunity to work with a set of practical problems that Canadian businesses and industries have to resolve on a day-to-day basis.
CBD-2214: Big Data Fundamental Data Storage Networking
In this course students will discuss and evaluate the advancement and growth of data storage networking. This course is delivered as a combination of lecture and demonstration, as well as hands-on practice; exercises for the participants will be employed. The course will cover the state of the various data storage technologies available today and how they can be used to develop data storage strategies for business.
AML-1301: Careers in Artificial Intelligence and Machine Learning
This workshop will provide an overview of the roles and responsibilities of the Co-operative Education Students and the Co-operative Education Advisors as well as the Co-operative Education policy. It will provide students with employment preparatory skills specifically related to Artificial Intelligence and Machine Learning and will prepare students for their Co-operative Education work term job search. Furthermore, students are provided with an overview of the current Canadian job market for the fields of machine learning and artificial intelligence.
COM-3013: Professional Communications
This course is designed for international students with diplomas or degrees. It focuses on polishing communications skills acquired through one's academic career and workplace experience. Through various business writing and speaking scenarios, students learn Canadian business practices and communication styles. Close attention is paid to proper incorporation of the intellectual property of others to ensure academic integrity. Students will practice organized and dynamic speaking and will strive for polished business documents.
AML-1413: Introduction to Artificial Intelligence
This course introduces the core concepts of Artificial Intelligence, its related fields, and its application. The theory part includes an introduction to the foundations of artificial intelligence and its use in dealing with problems that Canadian businesses and industries have to resolve on a day-to-day basis. The laboratory portion provides students with hands-on practices and the opportunity to apply their knowledge to real-life AI challenges.
AML-2103: Visualization for AI and ML
This course introduces the core concepts of data visualization for Artificial Intelligence and Machine Learning. The theory part includes an introduction to the foundations of data visualization and data presentation. The laboratory portion provides students with hands-on practices and the opportunity to work with the most advanced visualization tools and libraries to make sense of data, present clear evidence of findings, and tell engaging stories through data graphics.
AML-2203: Advanced Python - AI and ML Tools
This course introduces advanced concepts of Python programming language. The theory part includes designing, implementing, and using APIs, and advanced modules for AI and ML. The laboratory portion is designed to provide students with the opportunity to work with a set of practical problems and the opportunity to apply their knowledge to real-life software application challenges.
CBD-3335: Data Mining and Analysis
Data mining is a powerful tool used to discover patterns and relationships in data. Students learn how to apply data mining principles to the dissection of large complex data sets, including those in very large databases or through web mining. Students also explore, analyze and leverage data and turn it into valuable, actionable information for an organization.
AML-2304: Natural Language Processing
This course introduces Natural Language Processing (NLP) and its key concepts. The theory part includes the use of classic machine learning methods to solve machine translation, language modeling, and sequence tagging. The laboratory portion is designed to provide students with the opportunity to work with a set of NLP problems and the opportunity to apply their knowledge to resolve them.
AML-2404: AI and ML Lab
The laboratory course is designed to provide students with the opportunity to select a semester-long project, inspired by a real-life issue or problem, and combine and apply their knowledge to tackle the issues and produce weekly deliverables in a systematic way and within the framework of project management.
JSS-1001: Job Search and Success
This course is designed to give the student an understanding of how to conduct a job search and how to succeed in the work place. This includes self-reflection, effectively designing a cover letter and resume, online job searches utilizing social media, behavioural based interviewing as well as marketing oneself effectively in a job interview. Job safety, successful work strategies and harassment and discrimination plan of action is also discussed.
AML-3104: Neural Networks and Deep Learning
This course introduces the core concepts of neural networks. The theory part includes an introduction to the foundations of neural networks and key parameters in a neural network's architecture. The laboratory portion provides students with hands-on practices and the opportunity to build, train and apply fully connected neural networks.
AML-3204: Social Media Analytics
This course introduces the core concepts of social media analytics. The theory part includes an introduction to social media data, the foundations of collecting and storing social media data and how to use AI and ML tools to analyze social media data. The laboratory portion provides students with hands-on practices and the opportunity to build, train and apply models that analyze social media data and generate valuable social, marketing, and business insights.
AML-3304: Software Tools and Emerging Technologies for AI and ML
This course introduces the key software tools that are used in AI and ML practices. The theory part includes an introduction to source code management systems, continues integration platforms, project management tools, project design tools, and collaboration tools that are commonly used by teams involved in AI and ML practices. The laboratory portion provides students with hands-on practices on the introduced tools and makes them ready to join the Canadian workforce.
AML-3406: AI and ML Capstone Project
Employers expect candidates to have experience with teamwork in project environments. In this course students (1) work on concrete goals in a small team; (2) design, develop, and implement AI and ML solution based on pre-set requirements; and (3) manage deadlines, milestones, and deliverables with a client. Students build a complete, deliverable product and present it to the client in a professional manner. The overall product is judged in a competition setting, and students are given the chance to win awards. The design must be supported by documented market research, a marketing plan and a business plan.
CPL-1049: Work Term - Full-Time
Co-operative education provides students with the opportunity to apply classroom learning to the workplace, undertake career sampling and gain valuable work experience that may assist students in leveraging employment after graduation. For further information regarding co-op, please refer to: https://www.lambtoncollege.ca/co-op_and_career/
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CPL-5559: WIL Project
Work Integrated Learning (WIL) Project is aimed at enriching students by connecting different program areas of study, cutting across subject-matter lines, and emphasizing unifying concepts. The focus of the WIL Project is to make connections between study and industry by engaging students in relevant and meaningful activities that are connected to and practiced within the professional workplace. WIL Project allows students to enhance and strengthen their employability prospects post-graduation by fine tuning skills and knowledge and meeting the expectations of today's employers. Students are required to attend the scheduled shifts in the WIL office, reporting to the WIL Supervisor. Weekly real-world challenges are presented in the WIL office, designed by industry professionals. In addition to the weekly assigned deliverables, students are also offered professional development sessions, and exposed to industry guest speakers, enhancing their opportunity to develop their professional network.
Co-op Eligibility
*In order to be eligible to participate in a full-time Co-op Work Term (CPL-1049) students must have a GPA of 2.8 or greater.
Failing to do so will require the students to enroll in CPL-5559 WIL Project at an additional cost to the student.
See the Costs tab for current fees.
Program Maps
Students are required to follow their prescribed program map and are not allowed to take unscheduled breaks for any reason.
Current Students
Current students can view program maps from previous years on the mylambton website.
You will need to login with your C# and password in order to access your program map.
Employment Opportunities
Graduates will have the in-demand skills to operate at entry and intermediate roles on an AI and ML project in a variety of industries and occupational areas, including but not limited to technology implementation, business transformation, management and consulting.
Career positions may include, but are not limited to:
- Business Intelligence Designer
- Robotics Process Analyst
- AI Interaction Designer
- Artificial Intelligence Technologist
- Machine Learning Analyst
- Machine Learning Technologist
- AI System Developer
- Business Transformation Consultant