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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

Become a modern data engineer by learning cloud, Airflow, Spark, Data lake/warehouse, NoSQL, and real-time data pipelines

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
AI ENGINEERING

Beginner

Intermediate

Advanced

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

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

Resources

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

Let’s get together and enjoy the fun from treasure hunting in massive real-world datasets

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

Data Science
Applied Machine Learning

The average salary of machine learning engineers has reached $111,000. As a part of the hottest topic, artificial intelligence, machine learning has the potential to change how businesses operate. Hence, understanding machine learning and knowing how to apply different machine learning models for the business have become critical skills.

WeCloudData is a top-rated data science academy globally. At WeCloudData, you can learn machine learning from industry experts, build your own portfolio projects with different ML models, and earn a certificate.

Fill out the form now and download the course package.

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

Most data scientists today will become data analysts in 5 years. We believe that data scientists need to know machine learning at an advanced level.

It doesn’t mean one needs to derive all the mathematics equations of machine learning. Instead, high-caliber data scientists are practitioners who have solved many different data problems, who know when to use the best methods to solve particular challenges, and who know tips and tricks that will work in real life. This requires years of experience.

In this course, our experienced instructors will cover many real use cases and guide the students to complete two machine learning capstone projects.

Summary
Train ML models like a Data Scientist
build ML pipelines like a pro
Learn How to Apply ML
learn through use cases
Top-notch Learning Support
daily TA office hours
2 Capstone Projects
build a portfolio and get job-ready

Part-time

Online Live

10 weeks

About the Program

Applied Machine Learning is a 10-week part-time machine learning course that covers various machine learning topics. It not only teaches students how to use tools for building machine learning models but also teaches when and how to apply each tool in different real-world scenarios. Labs and projects cover machine learning use cases in 8 different industries and opens the doors for the students to opportunities in many different industries. Students will complete 2 high-quality ML capstone projects and use them for job search.

for those who want to
  • New graduates and job seekers
  • SAS or R predictive modelers
  • AI enthusiasts at the beginner stage
  • Tech-savvy product managers

Speak to our advisor

Our Program Advisor can answer all your questions and help you pick a program that best suits your need. Please fill in your information below and we will contact you.

You can also contact us at info@weclouddata.com or (647) 588-4206

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What you will learn

In this course, we cover some of the most popular and practical machine learning algorithms that are used in the industry. An industry use case comes with each algorithm to ensure students understand how to apply those models in the real world.
  • Linear Regression (lasso/ridge)
  • Time Series Forecasting
  • Logistic Regression
  • Decision Trees and Random Forests
  • Gradient Boosting Trees (Xgboost, Catboost)
  • Factorization Machines
  • Recommender Systems (Collaborative Filtering)
  • Neural Networks
  • Unsupervised models: K-Means and Hierarchical Clustering
  • Dimension reduction with PCA and feature screeningdf
We teach students popular frameworks such as Scikit-learn, Gensim, NLTK, and Keras. AutoML frameworks such as H2O will also be covered in the lab.
  • Supervised learning models using Scikit-learn
  • Unsupervised learning such as clustering using Scikit-learn
  • Text processing using NLTK
  • Topic modeling and word2vec using Gensim
  • Neural network models using Keras
  • AutoML using H2O
  • Parameter Tuning with Gridsearch, RandomSearch and Bayesian Optimization
In real-world data scientist jobs, more efforts are spent on data munging and engineering features. Feature screening and selection also make sure the models are not overfitting. Most textbooks and online courses don't cover these important topics in detail. You will learn many tips and tricks in this course regarding feature engineering, screening, and selection
  • Feature screening methods
  • Feature selection methods
  • Featuretools
  • Feature Transformers
  • Categorical/Numerical encodings
  • Feature Union
  • Pipelines
Real-world use cases taught by real-life data science practitioners
  • ML in retail
  • ML for marketing response modeling
  • ML for text mining, sentiment analysis
  • ML for credit risk
  • ML for offer optimization
  • ML for business forecasting
  • ML for personalized recommendations
Practice makes perfect. Online MOOC courses teach theory and coding well but lack the necessary support and mentorship hours for students to complete complex projects. Students need constant feedback on their methodologies, code, and WeCloudData excels at learning support and giving feedback. In order to complete the 2 capstone projects, students will work closely with instructors and TAs who will provide guidance during project scoping stage, critiques on coding quality and methodologies, and feedback on project summary and final presentations. By presenting the projects to Manager/Director of Data Science and Senior Data Scientists, students also improve their interview skills.

    Resources

    Watch our recorded webinar and learn more about Data Science career and industry insights.
    Why WeCloudData?
    Learning Experience: Student Journey
    Meet Your Faculty: Tanya Zhou

    Instructors & Guest Speakers

    Online Learning Platform

    Learn anywhere, anytime

    Track your learning journey
    Watch lecture recordings, work on coding 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.

    PORTFOLIO PROJECTS

    Build machine learning portfolio projects
    Practice makes perfect. Online MOOC courses teach theory and coding well but lack the necessary support and mentorship hours for students to complete complex projects. Students need constant feedback on their methodologies, code, and WeCloudData excels at learning support and giving feedbacks. In order to complete the 2 capstone projects, students will work closely with instructors and TAs who will provide guidance during project scoping stage, critiques on coding quality and methodologies, and feedback on project summary and final presentations. By presenting the projects to Manager/Director of Data Science and Senior Data Scientists, students also improve their interview skills.
      PAST STUDENT PROJECTS

      Reviews

      What our students are saying
      Schedule, Tuition & Financing Options

      Frequently Asked Questions

      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!
      You can communicate with the instructors and teaching assistants (TA's) regularly through our online platform and communication app (Slack). We also provide one-on-one support by our professional TA's.
      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 (https://paybright.com) 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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      Get our Applied Machine Learning syllabus
      Get our Applied Machine Learning syllabus

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