Artificial Intelligence & Machine Learning

AIMO
Two-Year with Co-op Ontario College Graduate Certificate
Sep Open Jan Open

Overview

The emerging career field of artificial intelligence involves developing and applying advanced technologies such as machine learning and natural language processing to create intelligent systems that can automate and optimize a wide range of tasks.

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.

Admission Requirements

  • 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 a program or course at any time; to change the program curriculum as necessary to meet current competencies or changes in the job market; to change the pathways to 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

  • IELTS of 6.5
    -or-
    IELTS of 6.0 + Completion of EAP-3106 (English for Academic Purposes) during the first term of study

- or -

  • TOEFL iBT 79
    -or-
    ITOEFL 70 + Completion of EAP-3106 (English for Academic Purposes) during the first term of study

- or -

  • 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.
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Costs

  • Term 1 $9,325.65
  • Term 2 $8,539.73
  • Term 3 $9,239.73
  • Co-op Term $0.00
$27,105.11
Total Cost of Program

Tuition fees are estimates and are subject to change each academic year. Fees do not include books (unless specifically noted), supplies or living costs.

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.

Additional Fees

WIL Project Fees

Students who are not successful in securing a co-op or fail to meet the co-op requirements will need to register in CPL-5559 WIL Project.

There is an additional fee of $2,100 for each student enrolled in the WIL Project course.

Textbooks

The anticipated cost for textbooks in this program is approximately $500 - $700 per term. This amount accounts for both mandatory textbook costs (included in tuition fees) as well as textbook fees not included in your tuition fee amount.

Important Dates, Deadline & Late Fees

For additional information on registration dates, deadlines and late fees please refer to Registration Dates and Deadlines.

Student Fees

A student services fee is included in your tuition.

Health Insurance Coverage

Emergency medical insurance is mandatory for all international students at Lambton College. This includes students who are full-time and part-time and who are on a co-op. This insurance is provided by guard.me - a third party insurance provider.

See Insurance Costs & Details

Technology Requirements

In order to keep pace with the requirements of each and every course in your program, Lambton College requires that each student have access to a laptop while studying at our college.

Courses

AML-1113
Data Science & 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-1213
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-2213
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-1613
Mathematics of Data Science

This course provides a comprehensive introduction to the mathematical and statistical concepts essential for understanding and applying artificial intelligence (AI) and machine learning (ML). The course covers key mathematical principles, including algebra, linear algebra, calculus, statistics, probability, and information theory, tailored specifically to data science applications. Students will learn to perform statistical analyses, understand distributions, and apply linear algebra concepts to data science problems. The course also explores the fundamentals of regression, classification, and other statistical techniques used in machine learning. This foundational knowledge is crucial for grasping more advanced topics in AI and ML. The course emphasizes practical applications, ensuring students can confidently apply these mathematical concepts in real-world data science projects.

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.

CBD-3423
Introduction to Project Management

This course provides a fundamental knowledge to manage people, workflows, and costs in project management. Students (1) analyze the project management landscape; (2) apply the project management knowledge areas, process groups, and traditional methods to IT projects; (3) apply agile methods to IT projects; and (4) use project management software to conduct project analysis, develop reports, and manage changes to IT projects. The group assignment and term project provides students an opportunity to incorporate and apply project management skills to solve real-world problems.

JSS-1001
Job Search & Success

This course provides student with skills and knowledge to help support their career search and succeed in the workplace. Students align their personal skill set and goals to guide them on their career paths. They will learn how to effectively conduct a job search, build a professional and well-tailored resume and cover letter, and develop and practice interview techniques. Students will also develop their personal brand to help support effective career networking and aid in their job search. Teamwork and collaboration in the workplace are also discussed. Self-reflection is used to inspire insight and support their professional career journey.

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
Advance Python - AI & ML Tools

This course introduces advanced concepts of Python programming language. The theory includes designing, implementing, and using APIs and advanced modules for AI and ML. The laboratory portion is designed to allow students to work with a set of practical problems and apply their knowledge to real-life software application challenges. Students use Python modules to interact with a database, analyze image datasets, create visualizations, and use PySpark to handle big datasets using the Apache Spark data processing framework.

CBD-3333
Data Mining & Analysis

AML-2303
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-2403
AI & ML Lab

CBD-2303
SQL & NoSQL Database Design

The concepts and design methodologies for modeling relational databases are introduced. Students analyze user requirements and construct conceptual, logical, and physical data models; employ Data Definition Language (DDL) to create, modify, and remove database objects; employ Data Manipulation Language (DML) to perform CRUD (Create, Read, Update, and Delete) operations on a database; and prepare technical documentation for a database project.

FOUR MONTHS

AML-3103
Neural Networks & Deep Learning

AML-3203
Social Media Analytics

AML-3303
Software Tools & Emerging Technologies for AI & ML

AML-3403
AI & ML Capstone Project

AML-3503
Cloud Computing & Big Data & AI

Covering foundational technologies of cloud computing, this course includes virtualization, load balancing, scalability & elasticity, deployment, and replication. The course also explores the basics of cloud computing and its place in the modern enterprise through exploration of public and private clouds, comparison of "as a service" models for PaaS, SaaS, IaaS, and XaaS platforms, and cloud security. Additionally, the course integrates concepts of big data and AI, focusing on data storage solutions and the use of AI as a service provided by cloud platforms. Students will gain practical experience with cloud infrastructure and services, addressing real-world challenges in Canadian business and industry contexts.

AML-3603
Ethical Practices in AL & Data Sciences

This course is designed to equip students with a comprehensive understanding of the ethical considerations and legal obligations associated with the development and deployment of Artificial Intelligence (AI) technologies. It covers Canadian law as well as international perspectives, emphasizing the importance of ethical frameworks and legal requirements in AI development. Students will explore topics such as data privacy, intellectual property, and the social impact of AI. The course also addresses the ethical implications of emerging technologies like cloud computing and big data analytics in the context of AI. Through case studies and real-world scenarios, students will learn to make informed decisions in AI development and deployment.

CPL-1049
Co-op 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-ops-placements

--- OR ---
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 & WIL Project Fee

In order to be eligible to secure an approved full-time co-op work term (CPL-1049), students must have a GPA of 2.8 or greater and complete all the co-op eligibility requirements. Failing to do so will require students to enroll in CPL-5559 WIL Project at an additional cost.

Contact

Centre for Global Engagement

LAMBTON COLLEGE SARNIA

1457 London Road

Sarnia ON, N7S 6K4

After Graduation

Employment Opportunities

Two people looking at code on computer screens.

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
  • Business Intelligence Designer
  • Robotics Process Analyst
  • AI Interaction Designer
  • Artificial Intelligence Technologist
  • Machine Learning Analyst
  • Machine Learning Technologist
  • AI System Developer
  • Business Transformation Consultant

Looking for Support After Graduation?

The International Graduate Services & Support Centre (GSSC) is a place dedicated to assisting International alumni as they seek employment and settle into Canadian life following graduation.

Co-op

About Co-op

Students in this program have the opportunity to gain valuable work experience by applying classroom learning during co-op experiences.

Learn more about co-op terms and the roles and responsibilities of students and co-op advisors.

More Information

Student Responsibilities

  • Course and program delivery schedules are proposed and subject to change for each intake.
  • Students are required to bring their own laptop with wireless capability.
  • Students are advised to bring an official copy of their most recent police clearance, driver's license, and vaccination record from their home country.
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Set yourself up for success!

Technology Requirements

It is recommended that students purchase a laptop with a Windows operating system.

Internet Speed Requirements

For best performance for students learning remotely, an internet connection with a minimum of 40 Mbps download and 10 Mbps upload speed is recommended in order to effectively use video conferencing and remote lecture delivery software as well as, other online resources remotely. Due to the large area over which students may be dispersed, we are unable to recommend a specific provider, so you will need to inquire around your area to find one that best suits your needs.

Minimum Laptop Requirements

In order to access the internet and virtually-delivered software and courseware, student laptops should include the following at a minimum. By meeting the following specifications, students will be equipped to access software and courseware on their laptop through the internet:

  • Intel i5 8th Gen Processor or equivalent
  • 16 GB of RAM (with a minimum of 8 GB)
  • 100 GB HDD or more
  • HD Graphics
  • Webcam with a microphone
  • Wireless 802.11n/ac 5ghz capable
  • Windows Operating System (Windows 11)

Software

To ensure students are getting the most our of their classroom experience, some software will be required.

Lambton College has made this software easily accessible online. Students can leverage our Microsoft Office 365 software packages and services. In addition, much of the software you require for your courses will be available on demand for use on any device - on or off campus.