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Bootcamp Programs

Launch your career in Data and AI through our bootcamp programs

  • Industry-leading curriculum
  • Real portfolio/industry projects
  • Career support program
  • Both Full-time & Part-time options.
Data Science & Big Data
Data Engineering

Become a data analyst through building hands-on data/business use cases

Become an AI/ML engineer by getting specialized in deep learning, computer vision, NLP, and MLOps

Become a DevOps Engineer by learning AWS, Docker, Kubernetes, IaaS, IaC (Terraform), and CI/CD

Short Courses

Improve your data & AI skills through self-paced and instructor-led courses

  • Industry-leading curriculum
  • Portfolio projects
  • Part-time flexible schedule
Portfolio Courses

Learn to build impressive data/AI portfolio projects that get you hired

  • Portfolio project workshops
  • Work on real industry data & AI project
  • Job readiness assessment
  • Career support & job referrals

Build data strategies and solve ML challenges for real clients

Help real clients build BI dashboard and tell data stories

Build end to end data pipelines in the cloud for real clients


Choose to learn at your comfort home or at one of our campuses

Corporate Partners

We’ve partnered with many companies on corporate upskilling, branding events, talent acquisition, as well as consulting services.

AI/Data Transformations with our customized and proven curriculum

Do you need expert help on data strategies and project implementations? 

Hire Data, AI, and Engineering talents from WeCloudData

Our Students

Meet our amazing alumni working in the Data industry

Read our students’ stories on how WeCloudData have transformed their career


Check out our events and blog posts to learn and connect with like-minded professionals working in the industry

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

Machine Learning Engineering

Machine Learning Engineering Bootcamp

According to, only 22% of companies using machine learning have successfully deployed a model. The need for AI/ML Engineers is growing exponentially as the industry moves towards Data-centric AI. AI/ML Engineering (MLOps) is at the intersection of Machine Learning, DevOps, and Data Engineering. It is a critical role that makes sure the AI products get deployed in production in a scalable and reliable way.

If you want to take your AI/ML skills to the next level, this AI Engineer Bootcamp was created for professionals like you who want to sharpen your skills in deep learning, computer vision, NLP, big data, and MLOps.

Interested? Inquire about the curriculum or talk to our program advisor.

WeCloudData Best Data Science Bootcamp - Switchup
At a Glance
What you will learn

We understand that there are theoretical underpinnings to cover. Most importantly, we know that we need to head beyond the classroom to truly work in this field. For example, by rolling up our sleeves and finding a way to package our work, tuning and molding a model to different setups, whether they be predictions with a CPU, an industrial-grade embedded system, or a beefy datacenter GPU like the A100.

In this advanced program, you will learn deep learning techniques, use cases in computer vision and NLP, and the engineering and operations side which allows you to appreciate the entire lifecycle of ML projects from data preparation to model deployment and monitoring.

Project-based Learning
2 academic + 2 portfolio
One-on-one Support
3 students : 1 teacher
Real Project Experience
Build real experience
1-1 Mentorship
Through every stage of your job search

Full-time, Part-time

Online Live

About the Program

Whether you want to engage in a custom capstone project or engage with scenarios that mirror our work in consultancy we have you covered. In this 6-month part-time bootcamp, you will get fully immersed in learning the cutting-edge machine learning and deep learning techniques as well as end-to-end machine learning operations. The program has two semesters: 

Semester 1: Deep Learning (theory, frameworks, computer vision, NLP)

Semester 2:  Use Cases (Recommender systems, Time series), MLOps (model packaging, deployment, CI/CD, monitoring, GPU tuning, edge deployment)

You will be working with our expert instructors on several capstone projects including DeepRacer, Lane Detection, Background Removal, etc. Students in the full-time delivery option will also work with our AI project managers on real client projects.

  • Software Developers and Engineers who want to work in AI and Machine Learning Engineering
  • Data Scientists who want to advance their career into AI and MLOps
  • Data Engineers and DevOps who want to learn how to manage ML pipelines in production
  • New Grads and Career Switchers who aspire to become an ML Engineer
placement rate
student satisfaction
base salary
Our alumni are working at

What you will learn

  • Neural Networks and backpropagation
  • Different activation functions
  • Various optimization methods
  • Regularization techniques
  • Batch normalizations
Practice deep learning techniques using the most popular tools such as Tensorflow 2.0, Keras, PyTorch and learn how to speed up your processing using GPU servers
    Work on a variety of computer vision projects ranging from automated background removal, and scene analysis to a whole ecosystem of tools relating to the world of autonomous driving and astrophysics. From cutting-edge realtime object detection algorithms to high-resolution segmentation models and generative artificial neural networks.
      Manifest your combined Linux, engineering and deployment skills into a mobile data collection and prediction or join our DeepRacer or DonkeyCar team and explore reinforcement learning in practice and at speed!.
        We’ve got you covered on the Natural Language Processing side of things with projects that’ll mold you into knowledge extraction experts with the industry’s latest tools such as SpaCy, BERT and Tesseract.
          Throughout the course, students will need to complete two deep learning projects. Our assistant instructors and AI mentors will provide the guidance and support you need to build something awesome.
          • Receive TA support
          • Guidance from mentors on project ideation
          • Work on unique and cool projects
          • Learn how to scale your model training with distributed frameworks such as Apache Spark and Spark ML
          • Gain hands-on experience with clustered computing
          • Learn how to build scalable data engineering pipelines with Spark DataFrame
          • Learn best practices of feature dataset preparation for structured data, time series data, and unstructured data such as text and image
          • Learn the fundamentals of Feature Stores
          • Brush up on your linux and bash scripting skills
          • Get familiar with Cloud Platforms such as AWS and Azure
          • Learn how to deploy containerized ML models as an Endpoint in AWS/Azure
          • Learn how to package and deploy your ML/AI models
          • Learn the basics of CI/CD and how to set up pipelines using Jenkins and AWS CodeDeploy
          • Learn best practices of model management and tracking using MLflow
          • Automate your ML pipelines with Apache Airflow or Amazon SageMaker pipelines
          • Learn how to scale your ML pipelines on Kubernetes with Kubeflow
          • Build end-to-end model pipelines with Amazon SageMaker and Azure ML Services


          Watch our recorded webinar and learn more about data career and industry insights.
          Meet Your Faculty: Ali Madani
          Meet Your Faculty: Farnoosh Khodakarami
          Amazon DeepRacer Local Training
          YOLO Custom Inference Tool
          Building the Mini-B Robot
          AI Edge Deployment by Rhys Williams

          Instructors & Guest Speakers

          past guest speakers
          Learn from the experts working in Machine Learning Engineering
          Vanessa Feng
          Software Engineer, Machine Learning @ Meta
          Ali Tozan
          Data Science Manager | Data Scientist Lead | Instructor (WeCloudData)
          Jodie Zhu
          Machine Learning Engineer | Instructor | Adjunct Professor
          Omar Nada
          Senior Manager, Data Scientist @RBC | Cybersecurity & Recommender Systems Expert


          Build real project experience to differentiate
          The data & AI job market is extremely competitive. It’s hard to stand out and get noticed without relevant background and experience. This program focuses on applied deep learning techniques with a relentless focus on hands-on projects as well as MLOps. WeCloudData has gone the extra mile to bring real-life projects into the classroom. Our Part-Time ML Engineer Bootcamp students will work on real business scenario-based projects.
          Past Clients
          What you will work on
          • Work with Founders, CTOs, Product Managers as well as project managers to nail down business/product requirements
          • Learn how to scope out AI projects and map out the workflow
          • Work on machine learning project from inception to completion
          • Gain real-world model deployment experience
          • Work in an agile project management environment and learn how to break down tasks using Scrum
          • Accumulate the real-world experience you need to stay competitive in the job market
          Online Learning Platform

          Learn anywhere, anytime

          Track your learning journey
          Watch lecture recordings, work on challenges, ask for TA help, and get resume and job support. The learning portal allows you to track your entire learning journey with ease.
          Sharpen your coding skills
          Leverage our online coding tool to test your knowledge, identify your weaknesses, and improve your Python and SQL coding skills. The LeetCode style live coding challenges will help you get prepared for technical job interviews.
          Get your career support
          Set job search objectives and track your journey. Receive resume support from your mentors and book one-on-one mock interviews. Get access to our internal job board and get referred to our hiring partners.​
          Career Services

          1-1 career mentoring by real AI experts

          6-month mentorship after graduation
          Receive one-on-one (1-1) counseling to set your career goals, assist your job search, and track your progress.
          Build up your industry network through guest seminars, hiring panel discussions, and hiring partner demo workshops.
          Portfolio & resume revision
          Build a resume and professional data portfolio to demonstrate your skills and robust professional experience. Get professional profile pictures shot by a commercial photographer, and polish your online professional brand with blogs and LinkedIn.
          Interview preparation
          Prepare for your behavioural interviews through professional communication coaching. Set yourself apart in technical interviews by doing one-on-one mock interviews, take-home assignments, whiteboarding, and technical challenges.
          Meet our mentors
          Ryan Kang
          Director, Machine Learning Product Engineering, RBC
          Vanessa Feng
          Software Engineer, Machine Learning @ Meta
          Nidhi Arora
          Data Scientist II at Intact
          Sameer Sharma
          Senior Vice President, Senior Data Scientist, Bank of America
          Xun Wang
          Senior Data Scientist @ GALE Partners
          student stories

          Success Stories

          Thank you so much for coordinating an awesome course. The assistant instructor was really great in exposing to us how course material is applied in production level environment. I also like the instructor’s approach of pushing us to build from fundamental to real project using PyTorch first. And then progressing to Tensorflow. Personally, I think it’s a super awesome course, but I believe you really have to dig yourself into the contents and dedicate many head banging hours. But course material is very practical both in theory and application. Thanks much!
          Jason Lee
          Applied Deep Learning, 2019
          Eric Li

          AI Implementation Engineer @ OfferFit

          Schedule, Tuition & Financing Options

          Looking for special discount?

          Admission Process

          Step 1

          Book a
          Counseling Meeting

          Our program advisor will have a one-on-one meeting with you to see if the program is a good fit. There is no application fee. It takes about 30 minutes.
          Step 2

          Pass the

          There will be a technical test and an interview. Applicants spend up to 2 hours on the challenge.
          Step 3

          Reserve the Spot &
          Sign the Contract

          Our admissions officer will work with you directly to help you fill out a contract, pay a $500 deposit and assist you in applying for any kind of grants and finance options.
          Step 4

          Start your
          Pre-bootcamp Learning

          Starting ahead will gain you more experience and competence. Research shows that preview and preparation account for 73.7% success in academic achievement of university students.

          Speak to our advisor

          Our Program Advisor can answer all your questions and help you pick a program that best suits your need. You can leave your information and we will contact you.

          You can also contact us at or (647) 588-4206

          This field is for validation purposes and should be left unchanged.

          Frequently Asked Questions

          WeCloudData is the only bootcamp and accredited career college that focuses on the data field in Canada. We offer five distinctive programs - Data Science, Data Analytics, Data Engineering, Artificial Intelligence, and Cloud Computing to prepare you for your dream career. The programs are instructor-led and project-based. You will learn advanced data techniques at a fraction of the cost from other institutes.
          Our programs cover the most up-to-date skills that are required by employers across Canada. In addition to offering personal training, we also work with a wide range of well-known data-driven companies in North America to help them up-skill their employees for cutting-edge technologies. That being said, we know what qualifications employers are looking for in future candidates.
          Yes, the nature of our training is hands-on. Students work on end-to-end projects and business use cases to build an amazing portfolio!
          Every live-online lecture is recorded so you can watch them anytime. You can always book a one-on-one meeting with our TA’s to help you catch up with the session you missed.
          WeCloudData is registered as a private career college under the Ontario Ministry of Colleges and Universities with the operating name of “Toronto Institute of Data Science and Technology”. As an Ontario registered private career college, you can apply for a student line of credit from BMO with a lower interest rate. We also work with PayBright ( to offer payment options through installments.

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          WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.

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