Artificial Intelligence & Machine Learning

International

Course List

Term 1

AML-1104: Data Science and Machine Learning in Canada

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-1204: Python Programming in Canada

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 requires students to write professional communications essential to workplace success. Students will prepare professionally written and designed documents, incorporating research and documentation where appropriate. Students will prepare, practise, and deliver professional oral presentations.

AML-1403: Artificial Intelligence - A Canadian Perspective

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.

Term 2

AML-2103: Data 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.

Academic Break

Academic Break

Term 3

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.

Term 4

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/

CPL-5559: WIL Project

Work Integrated Project is aimed at enriching student success by connecting different program areas of study, cutting across subject -matter lines, and emphasizing unifying concepts. The focus is on making connections, allowing students to engage in relevant, meaningful activities that are connected and practiced in real life. This will attempt to enhance and strengthen the student's employability prospects post-graduation by exposing them to skills and knowledge in demand from 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.

*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 Additional Fees 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. Typically, scheduled breaks occur after Term 2.

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.

Disclaimer

Lambton College reserves the right to alter information including admission requirements and fees 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 or for budgetary reasons; 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, over-acceptance of offers of admission, budgetary constraints, or for other such reasons.  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.


International Education
Any questions or inquiries please e-mail:
international@lambtoncollege.ca


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