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Master Machine Learning with Artificial Intelligence!

56-Week Machine Learning with Artificial Intelligence Diploma Program

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Online, In-Person, Hybrid

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Graduate in 56 weeks with the Machine Learning with Artificial Intelligence Diploma

Machine learning and artificial intelligence are powering some of the most advanced technologies today (from intelligent chat systems and recommendation engines to self-driving cars and predictive healthcare systems).

This 56-Week Machine Learning with Artificial Intelligence Diploma Program prepares students with the mathematical foundation, programming expertise, and applied experience needed to work with modern AI technologies. Through a combination of theory, hands-on labs, and a capstone project, students learn how to design, train, and deploy machine learning models that solve real-world problems.

  • Build strong foundations in algebra, calculus, trigonometry, and statistics
  • Develop Python programming skills for machine learning applications
  • Learn supervised and unsupervised learning techniques
  • Explore neural networks, computer vision, and natural language processing
  • Work with modern AI tools, including large language models
  • Complete a capstone project that demonstrates real-world AI skills

Join Oxford College!
Build the intelligence behind tomorrow’s technology.

Artificial intelligence is transforming nearly every industry. Organizations need professionals who understand how AI models work and how to apply them to real-world problems.

Oxford College prepares students with structured technical training and practical lab experience so they can confidently contribute to AI-driven projects in modern workplaces.

The benefits of becoming a Machine Learning and AI Professional

Machine learning professionals design systems that learn from data and continuously improve performance. These systems power recommendation engines, predictive analytics, intelligent automation, and advanced data-driven decision making.

This diploma program prepares students with strong foundations in mathematics, statistics, Python programming, and machine learning techniques. Students also explore advanced topics such as neural networks, computer vision, natural language processing, and large language models.

The capstone project connects theory and practical implementation, allowing students to demonstrate their ability to apply AI technologies to real-world challenges.

Master Your Knowledge of Machine Learning and Artificial Intelligence Technologies

  • Algebra, Linear Algebra, Calculus, and Trigonometry Foundations
  • Statistical Methods for Machine Learning
  • Python Programming for AI Development
  • Artificial Intelligence Concepts and Applications
  • Supervised Machine Learning Techniques
  • Unsupervised Learning and Pattern Discovery
  • Neural Networks and Deep Learning Concepts
  • Computer Vision for image-based AI systems
  • Natural Language Processing for language-based AI models
  • Large Language Models and AI communication systems
  • Machine Learning implementation in real-world environments
  • Capstone Project

These technologies are shaping the future.

Machine learning and artificial intelligence skills can be applied across industries, including healthcare, finance, retail, telecommunications, marketing, and technology.

These technologies are shaping the future of business operations. Professionals trained in AI and machine learning help organizations turn large volumes of data into predictive insights and intelligent systems.

As an AI professional, you are not only working with advanced technologies, but you are also helping build the next generation of digital solutions.

Many Unique Benefits

56 weeks of structured machine learning and AI training

1120 hours of combined theory, labs, and capstone project experience

Strong mathematical foundation required for advanced AI modelling

Python programming skills for developing machine learning systems

Training in supervised and unsupervised machine learning techniques

Exposure to modern AI applications such as NLP and computer vision

Hands-on experience working with machine learning model

Capstone project that integrates all program concepts into a real solution

Key learnings

Upon successful completion of the Machine Learning with Artificial Intelligence program, you will:

  • Apply algebra, calculus, trigonometry, and statistics to machine learning models
  • Develop Python programming skills for building AI applications
  • Understand core artificial intelligence concepts and algorithms
  • Build supervised machine learning models for prediction and classification
  • Explore unsupervised learning techniques for pattern discovery
  • Work with neural networks for advanced AI modelling
  • Apply computer vision techniques to image-based data
  • Use natural language processing to analyze and process textual data
  • Understand the structure and applications of large language models
  • Implement machine learning solutions for real-world problems

Real-World experience — professional field application

Students participate in hands-on lab sessions where they design, train, and evaluate machine learning models using real datasets. These practical exercises allow students to experiment with different algorithms, analyze model performance, and refine solutions for real AI challenges.

The capstone project provides an opportunity for students to integrate the knowledge and skills gained throughout the program by building a practical machine learning or AI solution.

Countless Career Opportunities

Upon completion, you may find employment as a/an:

  • Machine Learning Engineer
  • Data Scientist
  • AI Researcher
  • Business Intelligence Analyst

With certifications and experience, graduates may pursue advanced roles in artificial intelligence development, data science research, machine learning engineering, or independent consulting in AI technologies.

Employment Outlook

In Ontario, professionals working under the National Occupational Classification (NOC 21232) can expect a wide range of wages that reflect differences in experience, expertise, and industry. Entry-level roles provide a solid starting income, while seasoned professionals with advanced skills and responsibilities may earn significantly higher wages. Median earnings illustrate the typical compensation level for individuals in this occupation across the province.

Flexible Program Options

This program is structured to guide students through a progressive learning path that begins with mathematics and statistics, then moves into Python programming, artificial intelligence concepts, and advanced machine learning techniques.

Through a combination of theory-based instruction, lab sessions, and a capstone project, students gain the ability to apply machine learning concepts in real-world scenarios while following a clearly structured curriculum.

Program details

The Machine Learning with Artificial Intelligence Diploma Program prepares students with the skills and knowledge needed to work in modern AI environments. The program combines theoretical learning, practical lab sessions, and a capstone project to ensure students can confidently design and implement machine learning solutions.

Students begin with mathematical foundations, including algebra, calculus, trigonometry, and statistics, before progressing to Python programming, machine learning techniques, neural networks, and advanced AI topics such as computer vision and natural language processing.

Hands-on labs allow students to experiment with AI models and machine learning techniques, while the capstone project enables them to synthesize their learning and demonstrate real-world problem-solving abilities.

Course Listings: Machine Learning With Artificial Intelligence

  • Essential Skills II
  • Introduction to Algebra and Linear Algebra
  • Introduction to Calculus
  • Introduction to Trigonometry
  • Introduction to Statistics
  • Artificial Intelligence
  • Python Programming
  • Introduction to Machine Learning
  • Supervised Learning
  • Introduction to Unsupervised Learning
  • Introduction to Neural Networks
  • Computer Vision
  • Natural Language Processing
  • Large Language Models
  • ML Implementation for Network Engineers
  • Capstone Project

Admission Requirements

Ontario Secondary School Diploma (OSSD)

OR

Mature Student Status with Wonderlic SLE-17

Why Choose Oxford College?

Career-Focused Education

All of the diploma programs are designed for long-term careers in high-growth industries, offering you a superior fast-track education.

Expert Instructors

Our faculty consists of experienced and well-trained staff who will give you industry-relevant knowledge along with your career training.

Modern Facilities
The state-of-the-art classrooms and labs are compliant with industry standards and allow for an emphasis on practical training.

Easy Campus Access
All our six campuses are located along transit hubs, making travel easy and conveniences accessible.

Flexible Start Dates
Flexible program start dates allow you to plan and begin your new career training at any time.

Financial Aid
Financial Aid may be available to those who qualify. We have dedicated staff who can assist you with the Financial Aid process.

Testimonials

“ Joining Oxford College was one of the greatest decisions I have made and I feel so fortunate to be one of your students. I’m really enjoying your virtual classes, you are an amazing and inspiring mentor. The style and method of your teaching tells me that I’m on the right track towards my potential career. “

-Abdelgadir Gadam, Oxford College Graduate