George Brown Polytechnic is located on the traditional territory of the Mississaugas of the Credit First Nation and other Indigenous peoples who have lived here over time. We are grateful to share this land as treaty people who learn, work and live in the community with each other.
George Brown Polytechnic Continuing Education offers AI-related courses and certificates for learners who want to build practical skills, explore applied AI, or strengthen professional knowledge in areas such as machine learning, business development, leadership, data analytics, and AI practice.
These offerings are designed for different levels of experience and professional goals. Some programs focus on technical AI and machine learning skills, while others focus on business strategy, leadership, or preparation for industry certification. Visit each program page for current details about registration, availability, delivery format, fees, schedules, and requirements.
Corporate Training Opportunities: George Brown Polytechnic Continuing Education can arrange customized training in AI, business development, data science, and related areas for organizations. Contact George Brown Continuing Education to explore corporate training opportunities for your team or organization.
Advanced Data Science
The Advanced Data Science micro-credential is designed for learners who want to deepen their understanding of data science methods and analytical techniques for big data environments. The course explores how to approach data analysis and analytics with large-scale datasets while considering the unique characteristics, challenges, and requirements of big data.
Learners build knowledge in advanced statistical modelling, pattern recognition, clustering, text analytics, and methods for identifying outliers and errors that may affect data integrity and predictive accuracy. This course was designed and developed by George Brown Polytechnic Continuing Education in partnership with Arcitura, and successful completion earns a George Brown micro-credential provided as a digital badge.
AI & Business Development Program
The AI & Business Development Program is designed for professionals who want to use data-driven insights, analytics, machine learning, and large language models to support business strategy and decision-making. The program explores how AI and language models, including chatbot technologies, are changing business processes, customer engagement, workflow automation, and operational efficiency.
Learners build skills in identifying business problems, developing strategies, interpreting analytical results, and translating data into actionable insights. This program may be relevant for professionals who want to strengthen business analysis expertise and apply AI, analytics, and machine learning techniques in business contexts.
AI & Business Development Program
AI and Language Models in Business Development
The AI and Language Models in Business Development course is designed for professionals who want to understand how conversational AI, large language models, and chatbot technologies are changing business practice. The course introduces the basics of large language models, including their architecture, platform integration, and applications across different industries.
Learners explore how AI and language models can support customer engagement, workflow automation, efficiency, business growth, and innovation, while also considering the ethical and societal implications of this technology, including its impact on the workforce. This course may be relevant for professionals in technology, business, marketing, or related fields, and successful completion earns a George Brown micro-credential provided as a digital badge.
AI and Language Models in Business Development
Applied Data Science Program
The Applied Data Science Program is designed for learners who want to build skills in data science, advanced analytics, machine learning, and artificial intelligence. The program explores foundational and advanced techniques that support data manipulation, analysis, visualization, and the application of AI and ML technologies to real-world scenarios across different fields.
Learners develop knowledge that can support data-driven recommendations, innovation, and business decision-making. This program may be relevant for learners interested in roles such as data scientist, machine learning specialist, AI engineer, natural language processing specialist, data analyst, AI consultant, AI product manager, or roles in other industries where AI and ML skills are increasingly valuable.
Certified Artificial Intelligence Practitioner Pre-Exam
The Certified Artificial Intelligence Practitioner Pre-Exam course is intended for learners preparing to write the Certified Artificial Intelligence Practitioner exam. The course introduces the knowledge and hands-on experience needed to work with foundational and advanced AI concepts.
Topics include machine learning, neural networks, natural language processing, computer vision, and other key AI technologies. This course may be relevant for learners who want structured preparation for the CAIP exam and a broader understanding of applied AI concepts.
The CAIP exam is administered separately by CertNexus.
Certified Artificial Intelligence Practitioner Pre-Exam
Critical Approaches to Generative AI Tools In Education
The Critical Approaches to Generative AI Tools In Education micro-credential provides faculty learners with space and resources to understand generative AI tools, including their origins and ethical implications, while considering how these tools may be used thoughtfully in educational contexts.
Learners explore how generative AI tools can support efficiencies in practice and educational aims such as accessibility. The course includes opportunities to experiment with generative AI and develop a digital repository of prompts, materials, tools, and strategies for field-specific educational use.
This course also supports connection and knowledge-sharing among faculty learners. Successful completion earns a George Brown micro-credential, provided as a digital badge that can be shared on platforms such as LinkedIn.
Critical Approaches to Generative AI Tools In Education
Note for internal employees: George Brown employees should also check the internal TLX registration pathway where available.
Data Engineering Program
The Data Engineering Program is designed for learners who want to build foundational skills in managing, processing, and preparing large datasets. The program introduces key concepts in data engineering and business intelligence, including database design, data extraction, ETL processes, big data technologies, data quality, data governance, and data security.
Through a mix of theoretical and practical training, learners develop hands-on experience with tools and technologies such as SQL and Microsoft Power BI. This program may be relevant for learners who want to help make data accessible, reliable, and usable for data scientists, analysts, and other stakeholders.
Data Science Governance Specialist Program
The Data Science Governance Specialist Program is designed for learners who want to build knowledge in data governance, ethical data use, and responsible management of data in big data environments. The program covers topics such as big data processing, data science governance, data ethics and privacy, data integrity, compliance, and security.
Learners explore data governance frameworks, big data pipeline design, scalable data processing, and the ethical and regulatory considerations that support responsible data management. This program was designed and developed by George Brown Polytechnic Continuing Education in partnership with Arcitura and may be relevant for professionals responsible for overseeing data quality, compliance, privacy, and governance practices.
Data Science Governance Specialist Program
Digital Transformation and Solutions Architecture Program
The Digital Transformation and Solutions Architecture Program is designed for learners who want to build knowledge and technical skills related to modern digital solutions. The program explores digital transformation strategy, cloud computing, blockchain, the Internet of Things, automation, scalability, security, and performance optimization.
Learners develop an understanding of both the business and technical aspects of digital innovation, including how emerging technologies can support efficiency, real-time data processing, and modern technology solutions. This program was designed and developed by George Brown Polytechnic Continuing Education in partnership with Arcitura and may be relevant for IT architects, digital transformation leaders, software engineers, and business professionals working with emerging technologies.
Digital Transformation and Solutions Architecture Program
Geese Project Leadership Accelerator Certificate
The Geese Project Leadership Accelerator Certificate is a leadership development course designed to support Filipino professionals in building core leadership skills for today’s AI-driven and performance-focused workplace.
Offered by George Brown Polytechnic Continuing Education in partnership with the Geese Project, this course focuses on leadership capacity, team leadership, and professional development in a changing work environment. Successful completion earns a certificate of course completion from George Brown Polytechnic.
Geese Project Leadership Accelerator Certificate
Introduction to Big Data Science and Analytics
The Introduction to Big Data Science and Analytics course is designed for learners who want to build a foundation in the principles and practices of big data from both business and technical perspectives. The course explores opportunities and challenges related to big data adoption, as well as the benefits big data can offer across different industries.
Learners gain an understanding of key data analysis concepts, common big data technologies, and how modern tools help organizations process large datasets and extract meaningful insights. This course was designed and developed by George Brown Polytechnic Continuing Education in partnership with Arcitura, and successful completion earns a George Brown micro-credential provided as a digital badge.
Introduction to Big Data Science and Analytics
Practical AI & Machine Learning Program
The Practical AI & Machine Learning Program is designed for learners who want to develop applied skills in artificial intelligence and machine learning. The program covers foundational and practical topics, including data preprocessing, feature engineering, model building, model evaluation, regression, decision trees, support vector machines, neural networks, natural language processing, computer vision, and deep learning.
Through hands-on courses, learners apply AI and machine learning concepts to real-world scenarios and practise building AI and ML solutions across different fields, such as healthcare, finance, and engineering. This program may be relevant for learners interested in data science, AI engineering, machine learning engineering, data analytics, AI consulting, product management, or roles that increasingly require AI and ML knowledge.