Machine Learning Artificial Intelligence
Overview
Experience hands-on lessons in solving simple and complex real-world problems across different industries that may include retail, finance, tech, and health care.Gain in-demand programming skills that will allow you entry into the world of machine learning, AI and deep data analytics. Techniques learned in this program will allow you to use data sources to make informed decisions that yield real improvements in growth, efficiency, and cost-savings across all industry sectors. Complete the program with an experiential learning capstone project where you will learn about freelance coding projects and complete a small freelance coding assignment.
This bootcamp will increase your knowledge and prepare you for full-time and freelance jobs in diverse industries that are adopting AI and machine learning. You will be able to relate your prior education and experience to authentic and relevant programming projects while learning in a game-based environment.
This program is eligble for the Digital Boost add-on powered by Riipen. As part of the Canadian Federal Government via the Innovative Work-Integrated Learning (I-WIL) Initiatives program, participants in Digital Boost who select and complete their project following a RoboGarden Bootcamp with receive a $1,400.00 refund.
Who should attend?
The Machine Learning and AI Bootcamp is designed for individuals who are interested in diving deep into the world of data science and machine learning. This program is ideal for those who want to learn the practical skills needed to apply machine learning concepts to solve real-world challenges.
This program will benefit you if you are currently or pursuing a career as a:
•Data Scientist
•Machine Learning Engineer
•AI and ML Researcher
•Data Analyst
•Data Engineer
•Researcher
What you'll learn:
By completion of this program, successful learners will be able to:
•Develop awareness and master basic programming concepts to solve real problems•Understand and master data handling, processing, and visualization
•Conceptually visualize and describe machine learning
•Analyze and consider data classification using powerful algorithms on publicly available datasets
•Understand and demonstrate data clustering
•Analyze artificial neural networks and describe the connection to advanced artificial neural network models
•Apply software methodology to create applications
•Identify real-world applications where machine learning makes a difference in our lives
•Collaborate with teammates to complete a project
•Identify the state of the art in relation to all aspects of machine learning
•Communicate and pitch an idea for a project and its implementation in front of industry experts
Program Information
Part Time (22 weeks)
| Machine Learning Artificial Intelligence | Online from October 29, 2024 to April 5 2025: |
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Part Time (22 weeks)
| Machine Learning Artificial Intelligence | Online with Digital Boost from October 29, 2024 to April 5 2025: |
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This program is run for 22 weeks and is 450 hours. For approximately the first half of the program, an instructor and teaching assistant will support learners by teaching lessons and answering questions. The remainder of the course will be self-guided, as you work through modules in the RoboGarden platform.
Part Time (22 weeks)
| Registration fee | Registration status |
|---|---|
| $5,995 CAD + HST (bootcamp) |
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Part Time (22 weeks)
| Registration fee | Registration status |
|---|---|
| $7395 CAD + HST (bootcamp) |
|
This program is not eligble for the Ontario Tech Alumni/Staff discount or OSAP.
A payment plan that can be requested from RoboGarden team. Please email your initial request to continuouslearning@ontariotechu,ca
The Full Stack Development Bootcamp includes virtual face-to-face instruction and practical hands-on lessons delivered using an interactive learning system powered by RoboGarden. The RoboGarden platform teaches coding literacy by guiding users through a sequence of interactive challenges built using a game-based methodology. Learners will benefit from instructors and teaching assistants selected for their teaching ability, leading-edge skills, and experience. Students will have 24/7 access to course materials, allowing them to save their progress and resume at any time.
Participants will work through ten modules. For approximately half of the course, an instructor and teaching assistant will support your learning by teaching lessons and answering questions. The rest of the course will be self-guided, as you work through modules in the RoboGarden platform. The final part of the Full Stack Development Bootcamp will focus on turning your learning into earning (Learn2Earn). Complete a capstone project that is saleable and reflects real-wolrd industry demand. Learners will have the option to purchase the Digital Boost add-on after the start date.
Ontario Tech University Continuous Learning is proud to partner with RoboGarden and welcome you to your first step toward achieving your future career goals: RoboGarden’s Full Stack Development Bootcamp. Our vision in creating and facilitating this bootcamp is to encourage coding literacy by providing a full and comprehensive learning path for you to embark upon and explore. With this bootcamp, you will have the hands-on knowledge about full stack development you need to enter this exciting field – without requiring any prior programming experience
Requirements
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Successful completion
Participants who sucessfully complete all ten modules and the final capstone project will recieve a University certificate. Fees must be paid at the time of registration.*
**Robogarden can accomomdate payment plans up to four (4) installments.
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Required Modules
Module 1: Fundamentals of Python Development
Module 2: Classification
Module 3: Regression
Module 4: Clustering
Module 5: Recommender System
Module 6: ANN
Module 7: CNN and RNN
Module 8: A Complete Application of Modern Machine Learning
Module 9: Portfolio Builder
Module 10: Learn to Earn
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Technology and materials
Technology requirements
Video conferencing
Online learning requirements:
- Computer or device with internet access
- Stable internet or data connection
- Microphone
- Webcam*
- Audio device (examples: speakers, headphones/earbuds, headset)
*Webcam is preferred but not required.
Material requirements
There are no additional materials required for this program.
Information session
Interested in more information? Attend an online information session facilitated by RoboGarden. The Full Stack Information Session will be held on Tuesday, September October 1 from 7-8PM ET/5-6PM MT.
Please click here to register, all reminder and follow-up emails are sent automatically through the webinar platform.
