Education

Principles and techniques underlying the design, implementation and evaluation of intelligent computational systems. Applications of artificial intelligence to natural language understanding, image understanding and computer-based expert and advisor systems. Advanced symbolic programming methodology.

Problem-solving and planning; state/action models and graph searching. Natural language understanding Computational vision. Applications of artificial intelligence.

This is the final course and project for the Applied Data Analytics Certificate (ADAC) from BCIT Computing. Students must have completed all specific prerequisites in order to register. COMP 4254 is built on top of: Python Fundamentals for Data Analysis, Data Analytics Fundamentals, and Advanced Statistical Techniques for Data Analytics. Students must have experience using data visualization tools, be able to use R and apply statistical methods with algorithms in order to develop their final project. COMP 4254 is a BYOD (bring your own device) course, participants must provide their own current model PC with an i5 or higher equivalent processor, 8 GB of RAM minimum, 256 GB minimum storage and high-speed internet access. Participation is mandatory and students can expect a minimum of 3 hours per week online in real time via the BCIT Learning Hub plus using two-way audio and video. Attendance is required during scheduled class hours and students should expect an additional 10+ hours for reading and homework each week. Building on statistics for data mining, students will make use of previous tools and technologies used through out the program. A combination of R, Python, Data Analysis tools and visualization techniques will be integrated into an advanced data analytics project. There is an introduction to data analytics techniques with Big Data. Labs and exercises use Python and Apache Spark for data mining with a focus on Business Intelligence and Big Data. Participants will work with a variety of structured and unstructured data sources to model, analyze and visualize data. Upon successful completion students will be able to develop an advanced project from start-to-finish which includes data preparation, Business Intelligence and an in-depth analysis on a broad range of data sources.

Aligned with the ACMP Standard for Change Management®, this course examines the tools and techniques used to develop and manage the change process and looks at the impact change management has on an organization, from human resources and operations, to IT and finance. Gain a greater understanding of a change management practitioner’s roles and responsibilities and how they work with internal and external stakeholders.
This foundation course prepares participants for the next three courses of the UBC Associate Certificate in Change Management by introducing key terminology and concepts addressed in the later more detailed courses of this program.

Data and Marketing Analytics Fundamentals provides you with an overarching framework covering Data, Analytics, and Visualization, as well as the fundamental principles, concepts, and terminology associated with data and marketing analytics. We delve deeper into analytics with a focus on those that relate to customer experiences, social engagement, and mobile practices. Not only will we highlight common analytics used, but also the platforms and typical touch points where this data is collected. We will also review how to interpret and analyze these analytics to improve your customer experiences, customer engagement, and overall customer satisfaction, allowing you to move from past analyses to a more predictive future using analytics. You will also learn how to communicate marketing strategies using dashboards and visualizations to get stakeholder buy in.

Simon Fraser University (SFU) is teaming up with The Texas Advanced Computing Center (TACC) to offer a Marine Sciences Machine Learning Workshop, focused on applying Machine Learning and Deep Learning tools and techniques to marine biology, in an effort to better analyze and categorize datasets unique to this field.

This workshop will run from August 9 - 20, 2021 (10 days, 8:30am to 10:30am and then 12:00pm to 2:00pm PDT each day)

The Align program enables a direct path to a Master’s in Computer Science for non-computer science majors and people without programming experience.

What is AI and why does it need Indigenous knowledge?

Explore the value of diverse perspectives in shaping Artificial Intelligence and help lead the change that AI brings to the future of work.

Artificial intelligence (AI) has the potential to reshape virtually every industry, the workforce and, ultimately, the entire economy. The rapid evolution of AI brings new buzzwords – machine learning, deep learning, neural networks – and many questions about how best to understand and implement these new technologies. Machine learning offers new opportunities and creates risks, particularly for Indigenous communities.This half-day workshop is designed to build your understanding of AI – its terms, tools and solutions – and the importance of Indigenous people being included in this new era of big data and machine learning. Michael Running Wolf, Northeastern faculty member and founder of Indigenous in AI, and Bethany Edmunds, Director of Computer Science at Northeastern University’s Vancouver Campus will help you understand what AI is and the potential it offers while examining the unique challenges and opportunities that come with including Indigenous knowledge and values. You'll also gain a better understanding of the importance of having members of diverse backgrounds shape AI strategies and solutions to ensure a more inclusive future for all of us.

Prior knowledge and experience in AI or Computer Science is not required to be successful in this workshop. This workshop is open to all learners but there will be a focus on Indigenous voices.

This part-time, four-day course offers foundational data science and AI concepts that can be directly applied to your work and organization. Designed and taught by leading data science and AI experts at Simon Fraser University, this online interactive course offers a hands-on learning environment, enabling you to immediately apply concepts and techniques you learn with live feedback and guidance from instructors. You will come away with the kind of data science experience and knowledge that organizations and recruiters value.

An introduction to machine learning concepts and vocabulary to facilitate ML and AI-based product design, specification, and development. Participants will engage in the entire product design life cycle, including problem specification, data collection and curation, selecting appropriate ML techniques, iterative development, specifying and evaluating performance, marketing considerations, and continuous improvement. Participants will also learn about identifying and addressing bias in data sets, evaluating customer consequences of false results, and the challenges of interpreting the outputs of ML/AI systems.

Designed and taught by leading data science and AI experts at Simon Fraser University, this training program enables emerging leaders from industry and government to develop data science and leadership skills. Through this outcome-focused experiential training program offered by SFU’s Big Data Hub, you will tackle a valuable business problem for your current employer or for a partner organization while gaining an introduction to all aspects of a data project workflow. You will come away with relevant knowledge, training, and a high-quality data project ready for field trial and implementation at the end of the program.

This introductory-level course is perfect for middle and upper managers, analysts, project leaders and anyone working in a non-technical role who has had limited exposure to business analytics but would like to gain a greater understanding of the concepts.

2-day interactive course to learn how to use data-driven approaches to promote productivity and growth.

Offered by Asper Executive Education in collaboration with UBC Sauder Executive Education

No matter who you are in the world of business, getting a big-picture view of how business really works can be a pivotal strategy for advancing your career and growing your organization. 

Spread over a concise five weeks, this robust program provides a comprehensive look at the fundamentals of business and current organizational practices. It covers all the key components of a formal business school curriculum, enabling you to increase your business acumen and bring fresh insights to your work without having to commit full time to study. 

Led by award-winning Sauder faculty, the program will expand your knowledge and applied skills in strategy, financial management, operations, strategic HR and marketing. You’ll also sample emerging areas in innovation, data analytics and project management. Finally, you’ll explore how decisions in one area may impact the others, and how strategic integration between functions can drive organizational success. 

For Leaders, managers and entrepreneurs with experience in leading teams, managing resources and implementing business strategies.  Cultivate an innovative organizational culture where digital can thrive by becoming an effective change agent. Learn how to pitch your vision, while carefully balancing resistance and influence during your conversations with internal and external stakeholders. Define your current vs. future state of the business, and build a digital maturity model that drives your organization forward. Develop digital talent that is high-performing, social, customer-centric, and entrepreneurial.

This workshop is for business leaders with little background in Machine Learning but who wish to identify the opportunities it offers. 

A subset of artificial intelligence, Machine Learning (ML) is the science of getting computers to uncover key connections and make decisions without being explicitly programmed. It has given us many striking new applications, like self-driving cars and speech recognition.  This program introduces the tools, techniques, opportunities and applications of ML from a strategic perspective. Unlock the opportunities of this powerful technology to create greater value and competitive edge in your business.

This program is aimed at leaders at any level who want to build a deeper understanding of what design thinking is, how it is applied, and how to plan to begin implementing it in their organization.

Each day of the program includes one facilitator-led online session in real time, with ample breaks provided. Sessions are highly interactive, enabling you to network with peers, brainstorm ideas and work through an applied practice problem. Between live sessions, you will have access to a self-directed learning hub where you can review additional learning resources and engage in a discussion forum with your learning peers. 

New – This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

Use the following link to see the current list of available dates. Once you have decided which dates work for you, please fill out the application form at the bottom of this page. Note that all times on their website are in EST and not PST.

Build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

This one-day course will provide foundational level knowledge on cloud concepts; core Azure services; security, privacy, compliance, and trust; and Azure pricing and support.
This course is a high-level overview of Azure. It will provide foundational level knowledge of cloud services and how those services are provided with Microsoft Azure.

Use the following link to see the current list of available dates. Once you have decided which dates work for you, please fill out the application form at the bottom of this page. Note that all times on their website are in EST and not PST.