An exciting opportunity for CÉGEP students that would allow them to learn state-of-the-art skills through the process of creation while being mentored by experts in the field and expand their data-science portfolio.

The 8-week-long fall cohort will be held on Saturdays starting September 24, 2022. Join the program to acquire real-world experience and skills in AI, and to push the boundaries of AI in research and development projects.

Applications for Fall 2022 Cohort are open!

APPLY NOW



What do we offer exactly ?

Virtual, interactive workshops covering a wide range of AI topics like data manipulation, fundamental machine learning models, deep learning, reinforcement learning, and other advanced topics, you will have the opportunity to learn about AI and how to apply it.

Using your new AI skills and further independent research, you will work on various weekly tasks. Along the way, you will have support from AI specialists to help guide you in exploring new tools.

At the end of the program, you will have the opportunity to compile and present your work and learnings. You will leave with a fantastic portfolio!


Curriculum

1.  Introduction to Machine Learning
      What is AI?
      Difference between AI and ML
      Overview of ideas in ML

2.  Python Crash Course – Part 1
      Variables
      Expressions
      Functions
      Data Structures 1

3.  Python Crash Course – Part 2
      Data Structures 2
      Classes & Objects
      Exception Handling
      Files

4.  Working principles of Neural Networks
      Working of an artificial neuron
      Training setup
      Evaluating the performance of neural networks

5.  Neural Network Architectures & Supervised Learning
      Architectural attributes of neural networks
      Fundamental Architecture:
      Feedforward (MLP)
      Ingredients of Supervised Learning

6.  More Architectures: Convolutions, Recurrence and Transformers
      Advanced Architectures:
      Feedforward (CNN, Transformer), Recurrent (RNN)
      Applications of these architectures
      Case Studies: VGGNet, GPT-2

7.  Unsupervised Learning & Generative Models
      Dimensionality Reduction
      Clustering
      Generative Models: GANs
      Case Study: BigGAN

8.  Practical Aspects of AI & Case Studies

      Using neural networks in a full-fledged application
      Tasks involved in building a practical AI System
      Interactive AI Systems
      Reinforcement Learning
      Case Study: DALL-E

Accessible

The programs are part-time and designed to be accessible for students and those who are working, as well as for those who are differently abled

Rigorous

Learn and acquire real world, state of the art skills and experience in AI through creation supported by mentorship, and push the boundaries of AI in research and development projects

Affordable

Income and wealth should never be barriers to access and education, especially in a field that is as transformational and pivotal as AI. Representation and decision-making power in the AI community must reflect the broader population in order to have AI that benefits and does not reinforce and accelerate inequality of opportunity

Diverse

R&D programs strongly support diversity in tech and strive to promote a more inclusive tech culture by prioritizing the empowerment of and the selection of women, LGBTQ2S individuals, visible minorities, immigrants, those of all ages, Indigenous Peoples, and disabled or differently abled individuals

Accessible

The programs are part-time and designed to be accessible for students and those who are working, as well as for those who are differently abled

Summer 2021 R&D Programs

Summer 2021 R&D Programs

Real world, state-of-the-art (and beyond) projects

From combining operations research and machine learning in order to attempt to inject emotions into AI as a step towards AGI to the intersection of virtual and augmented reality (XR) and AI in order to enable the next generation of digital experiences, our AI R&D projects are at the cutting edge of what is (and isn’t yet) possible.

CHECK OUT PAST PROGRAMS & PROJECTS

Tailored learning designed for each project

We aren’t in the business of offering cookie-cutter, one-size-fits-all curriculums. AI is constantly moving forward and we think the most valuable approach is in diving deeply into each new and distinct challenge and problem solving forward with a focused and relevant plan of action using the newest and most efficient tools available. Each project offered is unique, and a learning plan and timeline will be designed in order to acquire the most modern and valuable experience and skills in order for the best chance to build something truly great.

Community and passion

Beyond a program that offers the best projects and learning experiences possible, we aim to enable the creation of a strong and diverse community. In it we hope you will find connections that last a lifetime, experiences to cherish forever, and a growing passion to change the world.
Learning done well can be both fun and meaningful.

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