Part-time Instructor in Working with AI (French)
Last updated: November 8, 2024, 3:24 p.m.
Course Title: Working with AI
Course Code: CEAI 1004F
Date posted: 2024-11-07
Application deadline: 2024-11-29
Format: Online (30 hours)
Language of instruction: French
Schedule
Term: Winter 2025
Term dates: January 16, 2025– March 20, 2025
Day: Thursdays
Time of day: 18:00 – 21:00
Position description
The Centre for Continuing Education at Concordia University provides part-time employment to a range of subject-matter experts to teach in short-target courses and programs. Teaching tasks include the preparation of course and course plan, delivery of course, evaluating student performance and grading student work and grade submission. Instructors attend departmental meetings and attend professional development training activities related to the program.
Course description and learning outcomes
What does the day-to-day of an AI professional look like? In this course, participants will experience the typical AI workflow by participating in an AI project. From the problem definition stage to model training and evaluation, participants will wear the hat of a data scientist and develop an end-to-end machine learning project using a user-friendly no-code software. This process will help them understand the risks and limitations of AI models and teach participants how to mitigate them. Finally, participants will learn about state-of-the-art AI applications and how they are used in the industry.
This course focuses on experiential learning. Participants will explore how to use a no-code software, train a model, improve training data through feature engineering, and test the performance of their models.
By the end of this course, the participants will be able to:
- Manipulate data for an AI project
- Communicate with data in an easy-to-understand visual format
- Manage a simple end-to-end AI project using a no-code software
- Explore emerging techniques in machine learning and AI
Qualifications and assets
- Education: BS/MS Major in Math, Statistics, Computer Science, Engineering or similar discipline
- Industry experience: 5+ years relevant work experience in data science or data analytics, including 2+ years of hands-on machine learning experience
- Teaching experience: 1+ years of experience teaching a practical data or Machine Learning course
- Experience: Familiarity with end-to-end lifecycle of a machine Learning project. Experience with no-code tools is helpful but not required
- French proficiency required: Conversation level minimum 4-5; Writing level 5. Candidates will be tested.
How to apply
Applications should be addressed to the Centre for Continuing Education, Ms. Saskia van Es (saskia.vanes@concordia.ca) and must include a cover letter clearly identifying the course title and a detailed curriculum vitae. Electronic applications should be submitted by the deadline but will continue to be reviewed until course has been filled. Only short-listed candidates will be notified.
Concordia strives to be an inclusive institution that is welcoming of diverse backgrounds and experiences in order to improve learning, advance research, inspire creativity, and drive productivity. We define diversity broadly to include both ethnic and socio‐cultural background and diversity of perspectives, ideologies and traditions.
As part of this commitment to providing our participants with the dynamic, innovative, and inclusive educational environment of a Next‐Generation University, we require all applicants to articulate in their cover letter how their background, as well as lived and professional experiences and expertise have prepared them to conduct innovative research and to teach in ways that are relevant for a diverse, multicultural contemporary Canadian society.
Adaptive measures
Applicants who anticipate requiring adaptive measures throughout any stage of the recruitment process may contact, in confidence, Anna Barrafato, Accessibility Change Lead: anna.barrafato@concordia.ca or by phone at 514-848-2424 extension 3511.
Concordia Continuing Education (CCE) is an integral part of Concordia University. It enhances the general mission of the University by delivering a wide range of innovative professional development courses, bootcamps, programs, customized trainings and workshops that provide a unique and challenging experience. CCE is an opportunity hub that specializes in professional, personal and organizational growth. It offers distinctive learning opportunities in response to professional and organizational growth needs as well as strategic development needs. Whether it is to acquire new skills, surpass objectives or simply to discover and explore, we provide learning that works.
Concordia University is located on unceded Indigenous lands. Tiohtià:ke/Montreal, on the traditional lands and waters of the Kanien’kehá:ka Nation, is historically known as a gathering place for many First Nations. Today it is home to a diverse population of Indigenous and other peoples. We respect the continued connections with the past, present and future in our ongoing relationships with Indigenous and other peoples within the Montreal community.
Building on the skills of our faculty and the strengths of Indigenous, local, and global partnerships, we set our sights further and more broadly than others and align the quality of learning opportunities to larger trends and substantial challenges facing society.
“Concordia is a young, forward-looking university. It’s a unique place where experimentation, innovation and creativity are truly valued. Our community of students, faculty, staff and alumni all contribute to our momentum as Canada’s next-gen university.” — Concordia President Graham Carr.
Profoundly global, Concordia is North America’s top university under the age of 50 and is recognized for attracting some of the most talented faculty and students from around the world. Driven by ambition, innovation and a commitment to reconciliation, research and community engagement, Concordia is celebrated for advancing transformative learning, convergent thinking and public impact.
Tiohtià:ke/Montreal, is exceptional; safe, vibrant and diverse, with new things to discover around every corner. The Kanien’kehá:ka Nation is recognized as the custodians of the lands and waters on which we gather and conduct our activities. With a population of 1.7 million, Tiohtià:ke/Montreal is home to four major universities and several clinical research centres and has been named the best student city in the world. It offers the most affordable tuition in Canada.
The city enjoys a thriving multicultural scene. Bilingualism is a part of Montreal’s tradition and adds to its inspiring atmosphere. While supporting a significant anglophone population, it is the one of the largest French-speaking cities in the world.
Montreal is famed for its innovative culinary scene and festivals. It was also the first metropolis to be designated a UNESCO City of Design by the Global Alliance for Cultural Diversity.
The city is recognized globally as an important centre for commerce, aerospace, transport, finance, pharmaceuticals, technology, design, gaming and film.
Territorial Acknowledgement
Concordia University is located on unceded Indigenous lands. The Kanien’kehá:ka Nation is recognized as the custodians of the lands and waters on which we gather today. Tiohtià:ke/Montreal is historically known as a gathering place for many First Nations. Today, it is home to a diverse population of Indigenous and other peoples. We respect the continued connections with the past, present and future in our ongoing relationships with Indigenous and other peoples within the Montreal community.
Employment Equity
Concordia University is strongly committed to employment equity within its community, and to recruiting a diverse faculty and staff. The University encourages applications from all qualified candidates, including women, racialized persons, Indigenous persons, 2SLGBTQI+ persons, and persons with disabilities; candidates are invited to self-identify in their applications.