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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 data engineer by learning how to build end-to-end 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
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

Location

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

Resources

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

Our free open source courses and workshops gives you the skills and knowledge needed to transform your career in tech

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
build ML pipelines like a pro
learn through use cases
daily TA office hours
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

  • Learn the most popular ML algorithms
    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
  • Learn popular ML frameworks
    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
  • Feature Engineering, Screening, and Selection
    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
  • Machine learning use cases
    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
  • Complete 2 ML 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 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.
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      Portfolio Course

      Data Science Client Project (Career Mentorship)

      View our Applied Machine Learning course package
      View our Applied Machine Learning course package

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