8 Artificial Intelligence Preparatory Programs in Canada

Through collaboration with industry, the Software Engineering Technology – Artificial Intelligence (AI) program will provide our students with skills in state of art design and AI application development technologies. Software is taking the planet by storm and AI-driven technologies are at the center of it. AI’s global economic impact is expected to reach trillions by 2025. AI is set to become the new database for next-generation applications. Our Software Engineering Technology – Artificial Intelligence program aligns well with the newest technology trends in the software industry, namely “Augmented Analytics,” “AI-Driven Development,” and “Autonomous Things.” The coursework emphasizes modern software design and AI frameworks, machine learning, data visualization, big data fundamentals, natural language processing, image recognition, recommender systems, software bots, digital ethics, and privacy guidelines within AI solutions. To round out the technical focus of the curriculum, the Software Engineering Technology – Artificial Intelligence program includes two software development projects. For these real-world business applications, you put into action all the technical, systems, and business skills acquired during your courses to build AI-enhanced software solutions for automating, classifying, predicting, recommending, and understanding processes and data.

Through collaboration with industry, the Software Engineering Technology – Artificial Intelligence (AI) program will provide our students with skills in state of art design and AI application development technologies. Software is taking the planet by storm and AI-driven technologies are at the center of it. AI’s global economic impact is expected to reach trillions by 2025. AI is set to become the new database for next-generation applications.

The world is constantly evolving through technology. Today, Artificial Intelligence (AI) courses are used across many diverse industries to improve efficiencies, implement automated processes, and more. As such, AI professionals in the workforce are in high demand.

The Certificate in Artificial Intelligence and Data Science program will prepare students with the in-demand knowledge and skills required to design and build data-driven systems for decision-making in the private or public sectors upon graduation. Students will learn about Artificial Intelligence (AI) and Data Science through training in predictive, descriptive, and prescriptive analytics.

Take advantage of limitless possibilities with Artificial Intelligence (AI) and help solve the most critical question faced by today’s businesses: how do we make sense of our data and use it to our strengths? This eight-month, postgraduate certificate tailored for Computer Science, Computer Programming and Software Development graduates will equip you with the hands-on skills and theoretical knowledge needed to transform data into strategic, evidence-based business decisions for companies.

The Artificial Intelligence and Machine Learning (AIML) program is designed to put you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond. Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics and even customer service.

The Artificial Intelligence (AI) post-diploma certificate program provides the necessary skills, knowledge, and appropriate attitudes to design and build intelligent agents and apply them to create practical AI projects, including machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, agent decision-making functions and more. Focus is on AI-related interpreted and R programming languages and the mathematical and statistical foundations of AI, resulting in data analysis. Program graduates may pursue careers as Data Mining Analysts, Business Intelligence developers, and User Experience (UX) Designers and Developers.

Focusing on a variety of techniques from multiple disciplines, this course will expose students to new and useful methods for conducting intelligence analysis. Students will also contribute to the growing body of knowledge regarding the effectiveness of structured analytic techniques by applying techniques to real-world case studies, and learning which techniques are most appropriate for different situations.