Frequently Asked Questions

Applications and Prerequisites

  • We encourage you to apply by the priority deadline as we review applications on a rolling basis. You should hear back with an admission decision within 1-2 weeks.

  • Due to the high volume of applications, we typically take 1-2 weeks to process them. Accepted students will receive additional information on how to pay program tuition and secure their enrollment in the course.

  • After submitting your application, it typically takes one week to send acceptance emails due to the high volume of applications we receive. If you or your student is accepted, we will send another email with instructions on setting up Google Colab, pre-camp Python preparation materials, and other necessary information to prepare for your first session.

  • All we require is an interest in AI! About half of our students are completely new to programming before joining the course. Our curriculum is designed to introduce beginners to Python.

    The students with advanced programming skills are also welcome and will be paired with peers of similar backgrounds. They will receive more challenging material tailored to their experience.

  • Generally, students working on advanced projects come in with prior coding experience. We recommend choosing beginner or intermediate projects, but exceptions can be made if you want to challenge yourself or are particularly interested in a specific project.

  • The necessary math skills will be taught during the course. Also, We will provide additional information to help you prepare before your first session.

  • Absolutely! We have had the privilege of guiding students from over 30 countries in learning fundamental AI concepts, preparing for college admissions, and applying their passions to achieve social good.

Program Pricing

  • Our live online AI Crash Course is priced at CA$199. This includes 9 hours of instructional time, access to our exceptional instructors from prestigious universities, additional hours for special sessions and student support, as well as all necessary teaching materials.

  • Our live online AI Crash Course is priced at CA$ 399. This includes 18 hours of instructional time, access to our exceptional instructors from prestigious universities, additional hours for special sessions and student support, as well as all necessary teaching materials.

  • The 1-on-1 Mentorship program is charged on an hourly-basis of CA$149. You can also book our package plan, which offers 5 hours for CA$700,

  • Please ensure your payment is submitted at least 30 days prior to the start of your sessions. Additionally, keep in mind that admissions are on a rolling basis, and spots are limited.

  • Yes, students can request financial aid applications when applying to the program. We offer limited financial assistance based on need. If you would like to apply, please email us at aiwavehelloworld@gmail.com, and we will send you the application form. Additionally, we provide the option to pay tuition in installments, which many families find more convenient.

Program General Information

  • The pre-university programs are designed for high school students, while the university-plus programs are intended for senior university students and industry professionals.

    Both programs exhibit a substantial overlap in their course syllabi. The course projects and codebases are meticulously designed to enhance college application portfolios for participants in the pre-university programs. For those enrolled in the university-plus programs, the focus of course projects and codebases is to significantly facilitate job hunting and interview preparation.

Program Details

  • We offer our live online programs at various times, which you can find listed here. All times are provided in Eastern Time (ET), so please adjust for your local time zone accordingly!

  • We take great care to maintain small class sizes for our students, with an average student-to-teacher ratio of 5 to 1.

  • Our AI Crash Program is an 9-hour course divided into six 1.5-hour classes. The curriculum covers:

    1. Python and PyTorch fundamentals

    2. Machine learning basics

    3. Computer vision techniques

    4. Introduction to generative AI and diffusion models

    5. Natural language processing essentials

    6. Large language model architectures

    7. Building AI demo applications

    For each topic, the instructors will provide carefully crafted codebases, allowing students to gain practical experience through hands-on coding exercises. 

    At the beginning of the program, students start with basic tools like Python and PyTorch, then progress through computer vision and generative AI. Then in the second half of the program,  we focus on NLP and large language models. Students will also gain experience developing demo applications. By the end of the course, participants will have a solid grasp of AI and generative AI concepts, along with valuable coding experience. 

    For a detailed breakdown of each topic’s content, please consult the syllabus chart for additional information.

  • Our AI Deep Dive Program consists of 12 intensive 1.5-hour sessions, designed to provide a comprehensive exploration of AI and gen-AI technologies. This course offers:

    1. Comprehensive Python & PyTorch

    2. Deep Learning Deep Dive

    3. Advanced Computer Vision

    4. Generative Models in Depth

    5. Natural Language Processing

    6. Large Language Models

    7. AI Product Lifecycle

    At the beginning of the program, students start by gaining in-depth knowledge of tools like Python and PyTorch, and learn to create neural networks from scratch. Then they will learn theoretical foundations of machine learning and deep learning, experimenting with advanced model architectures. They will have a deep-dive into computer vision and natural language processing, and in particular, they will get into generative AI by exploring various state-of-the-art generative models, including diffusion models and large language models.  Towards the end, they will get introduced to the ML development lifecycle, get exposed to various commonly used tools and master industry best practices. 

    Each class combines in-depth lectures and mentor-led experiments, allowing students to gain hands-on coding experience. By the end of the program, participants will have developed skills for end-to-end AI project development and supported by a deep understanding of fundamental theories on Deep Learning and AI.

    For a detailed breakdown of each topic’s content, please consult the syllabus chart for additional information. 

  • Our instructing team consists of graduate students, alumni, and advanced undergraduates specializing in AI and programming from top universities like McGill University, University of Toronto, Stanford, and other prestigious institutions across the U.S., Canada, and Europe. Additionally, we have industry professionals and mentors from leading companies such as Microsoft and Google. Our instructors bring diverse backgrounds and possess expertise in applying AI techniques to various fields, including healthcare, arts, sustainability, engineering, science, and more.

  • Throughout our live online program, students join the class via a main Zoom room managed by a Program Manager who handles all session logistics. Within smaller breakout rooms, students engage in interactive lectures, hands-on coding exercises, and small-group projects led by our team of instructors.

  • Yes, we send students certificates of completion in the weeks following the program.

  • Yes, materials will be live on your online portal for 12 months.

  • You are always welcome to request a recommendation from an instructor, but it's ultimately at their discretion whether they choose to provide one.

  • Yes, we offer follow-up programs for students to further develop their AI programming and AI project-building skills. You can find more information about our AI 1-on-1 Mentorship Program here.