Our Students
Bootcamp Programs
Short Courses
Portfolio Courses
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
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

Data Engineering

Data Engineering Bootcamp

Applied Data Engineering and Architect

If you are looking for a learning program to help you become a data engineer, your search can stop here. WeCloudData’s Data Engineering Bootcamp is the most comprehensive and effective program to help you achieve that goal.

Data Engineering programs aren’t easy to design because curriculums must be frequently updated due to the rapid changes in tools and platforms in the data landscape. Traditional university programs will not be able to keep it up to date. Data Engineering is also hard to teach because you need instructors with a strong industry background and hands-on experience. That’s why you don’t find many options out there.

At WeCloudData, we teach you essential skills for transitioning into a modern DE role and allow you to build your project portfolio. Most importantly, this program offers post-graduation job support, mentorship, and referrals to help you transition. So read along and learn why you should stop looking and enrol in the best data engineering program.

At a Glance
What you will learn

You will learn modern data engineering skills and tools in the classroom, practice what you learn by working on real capstone projects to build up experience, and learn from your mentors during your job search.

Cutting-edge Skills
ETL/ELT, Data lake, Lakehouse, Real-time, Data pipelines
Project-based Learning
Build end-to-end data pipelines
One-on-one Support
4 students : 1 teacher
Career Support
Through every stage of search


240 Hours

Online Live

24 Weeks

About the Program

The Applied Data Engineering Certificate Program is created to help new graduates, IT professionals, and career switchers break into data engineering. The learning package includes six months of training and job support after graduation. The part-time option is excellent for work professionals who want to keep their daytime job and commit to learning new skills on weekday evenings and during the weekends. The full-time option also comes with real client projects to help you quickly build up relevant experience.

This program is not created for the faint-hearted. Though it’s intense and requires big commitments, the learning outcome will be very rewarding! 

Data Engineer
Cloud Data Engineer
Data Warehouse Developer
Data Warehouse Engineer
Analytics Engineer
Big Data Developer
ETL Specialist
ETL Developer
Software Engineer (Data)
Data Architect
Data Integration Developer
Data Solution Developer
Play Video
Want to learn more about this career?

WeCloudData is the perfect place to grow your career

Choose your network & mentor wisely
Interacting with expert instructors, engaging with classmates, working on group projects, meeting with real clients and networking with a community of like-minded professionals. You'll be able to build your network and collaborate with people from all backgrounds, strengthening bonds and making friends in the process!
Solving real-world problems
In our bootcamp, we'll give you an opportunity that many graduates don't have: work on something meaningful and important right away. You will be able to even contribute ideas or solutions that make an impactful change! Teamwork is an essential part of data career. In our bootcamp, we'll have you work with other students and a Project Manager to complete a Real-Client project.
Comprehensive bootcamp with a focus on skills that are in high demand
No other bootcamp offers the flexibility and variety of topics, the number of hours and instructors, and the depth of knowledge in this industry. WeCloudData is a one-stop destination to learn data science - from basic concepts to building data-driven applications. Your learning is personalized and all your questions are answered by our expert instructors.

Ranked #1 Data Training Program


A path more than just courses

Portfolio Projects

Gain Hands-on Experience with Real-client Projects

One of the best ways to get the experience needed for a data science career is to start with a project. WeCloudData is one of the few companies who offers this opportunity. In our bootcamp, we’ll give you an opportunity that many graduates don’t have: work on something meaningful and important right away. You will be able to even contribute ideas or solutions that make an impactful change!

Portfolio Project

Build real project experience to differentiate

We also have a capstone project that gives our students the chance to synthesize their learning and build a portfolio piece they can showcase on their resume or LinkedIn profile. This helps them stand out from other applicants when applying for jobs or opportunities.


Drive Success with Interactive Learning Experience


Learn from the best

We’ve brought together a team of highly skilled and experienced instructors to help you learn effectively. Our instructors have a passion for teaching and a wealth of real-world experiences in their respective fields, so you can be confident that you’re learning from the best.


Be ready for the new economy

WeCloudData Bootcamps are designed to be project-based. We not only cover essential theories, but also teach how to apply tools and platforms that are in high demand today. Our program curriculum is also highly adaptive to the latest market trends. 

Module 1
Linux and Docker
This module teaches students the fundamentals of Linux operating systems and containerization. We will train students to have decent enough command line skills so that they can work with containers, automation, and cloud CLIs. It equips students with the necessary skills to be able to work on big data, cloud computing, and data pipeline automation related projects.
  • Become familiar with linux operating systems
  • Write bash/shell scripts to automate repetitive tasks
  • Create, build, and deploy docker containers and images
  • Run applications in a docker container
  • Deploy applications using docker compose 
  • Work on a small yet complex project to apply what’s covered in this module
Key Skill:
Linux Commands, Shell Scripting, Docker Commands, Docker File, Docker Compose, Flask Application
Module 2
Python for Data Engineering
Python is one of the core skills of a data engineer and is highly popular in the job market. In this module, students will learn how to use Python for different data engineering tasks and utilize Python to interact with Cloud Containers, Servers, and Serverless tools. You will also learn to use several AWS services including EC2, S3, Lambda, and IAM.
  • Use different Python libraries for various data engineering use cases
  • Build and deploy Python applications on Cloud instances
  • Deploy Serverless applications using Python for AWS Lambda
  • Complete two mini-projects to improve Python and AWS skills
Key Skill:
Python , AWS EC2, AWS S3, AWS Lambda, Docker, Python OOP, Python Logging
Module 3
Modern Data Stack
Data warehouse is a popular data engineering infrastructure in most companies. This module focuses on teaching students the modern data stack: Airbyte, Snowflake, dbt, and Reverse ETL. Students will learn how to work with modern data warehouse such as Snowflake and Amazon Redshift, create data models, and use dbt to orchestrate SQL-based ELT transformation pipelines.
  • Learn the internals of relational databases (RDBMS)
  • Build data models and work with modern data warehouses such as Snowflake and Redshift
  • Understand data connectors and ingestion tools such as Fivetran and Airbyte
  • Write dbt SQL workflows to transform data in data warehouse
  • Understand the basics of reverse ETL and different business use cases
  • Complete two mini-projects 
Key Skill:
ELT, ETL, Reverse ETL, Data Connectors, Data Modelling, Data Warehouse, Dimensional Modeling, OBT (One-Big-Table), Wide Tables, Snowflake, Redshift, Apache Airbyte
Module 4
Big Data and Data Lake
In this module, students will learn to work with big data technologies such as Apache Spark and Hadoop. Data Lake concept will be introduced so students understand the different use case scenarios of big data storage. Students then learn how to develop Spark applications to process big data. Spark jobs will be deployed in local mode, in AWS EMR, as well as Databricks platform. This module will go in-depth about Spark internals and Spark job optimizations.
  • Learn the principles of big data and distributed systems
  • Understand the pros and cons of Data Lake vs Data Warehouse
  • Learn different use cases of Data Lake and how to set up staging, processed, and production zones
  • Develop Spark ETL scripts and submit jobs to Databricks and AWS EMR
  • Deploy Serverless Spark jobs to AWS Glue
  • Process big data using federated queries services such as Athen and Preto
  • Complete three mini-projects to showcase your end-to-end big data processing skills
Key Skill:
PySpark, Spark Optimization, EMR, MapReduce, Hadoop, Hive, Presto, Athena, Databricks, Spark Job Tuning, Data Lake
Module 5
Build Data Pipelines
In this Module, students will learn how to build and deploy end-to-end a data pipelines for data integration and ETL. We will introduce the most popular ways of building dataflows and compare different popular tools.
  • Deploy and configure Apache Airflow in production environment
  • Get familiar with managed Airflow services on AWS
  • Develop Airflow DAGs (Direct Acyclic Graph) and set up dependencies among different operators
  • Orchestrate end-to-end data pipelines using Airflow and run complex ETL jobs
  • Understand the current landscape of data pipelining and orchestration. 
  • Understand the pros and cons of Airflow compared to Dagster and Prefect.
  • Learn how to orchestrate Serverless dataflows using AWS Lambda and Step Functions
Key Skill:
Airflow Deployment, Data Pipelines, Pipeline Orchestration, Data Automation, AWS Lambda, AWS Step Function, Perfect, Dagster
Module 6
NoSQL Database
In this module, students will learn how to work with NoSQL databases. We will help students understand the CAP theorem and motivation behind NoSQL databases. Since there are many NoSQL database engines, we choose to focus on DynamoDB and Elasticsearch.
  • Understand the CAP theorem
  • Understand the NoSQL use cases
  • Survey the NoSQL database landscape
  • Learn how to do data modelling in DynamoDB and Elasticseach
  • Learn how to ingest data into NoSQL databases
  • Understand log file ingestion and log file analysis with Elasticsearch and the ELK stack
  • Learn how to scale applications using DynamoDB
Key Skill:
CAP Theorem, NoSQL, DynamoDB, Elasticsearch , ELK, Log Analysis, Data Modelling
Module 7
Data Lakehouse and Streaming
A data lakehouse is a data architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. In this module, students will learn how to set up Change Data Capture (CDC), data ingestion, Kafka, Apache Hudi/Iceberg, and Spark Streaming.
  • Set up CDC using Debezium
  • Set up Hudi or Iceberg on AWS EMR
  • Ingest data into Apache Kafka
  • Manage upserts with Apache Hudi/Iceberg
  • Working with streaming data using Spark Streaming
  • Complete an end-to-end Data Lakehouse project
Key Skill:
Spark Streaming, Data Lakehouse, Upserts, Change Data Capture, CDC, Debezium, Apache Spark, Apache Flink, Apache Kafka, Streaming Data Processing, Real-time Data
Module 8
Career Preparation
Before entering the 1-1 career mentoring, students will learn about the Data Science job market and build job search skills. Career coaches will teach graduates how to structure resumes, apply for jobs, and ace the interviews. Students work in groups for peer mock interview practice.

Career services included in the bootcamp include

  • Resume workshops
  • Group interview practice
  • Portfolio project mentoring
  • Coding interview practice and additional resources (Leetcode/hackerrank)
  • Peer programming practice and code reviews

Career services included after graduation (6 months)

  • One-on-one career mentoring sessions with data scientists for 6 months after graduation
  • One-on-one resume critique
  • One-on-one mock interview sessions with data science mentors
  • Job referrals and networking sessions
Key Skill:
Research, Leetcode, System Design, Networking, Salary Negotiation

Upcoming Start Dates

Career Services

Career success takes more than just courses

Taking courses alone don’t guarantee career success. WeCloudData’s career mentoring service, community events, and workshops are top-notch! We put in lots of effort outside of the classes to help learners grow their knowledge, confidence, job skills as well as network.

1-on-1 Mentorship

Available in all bootcamp programs, the career mentorship service helps close job market knowledge gap and provides the support our learners need to land a job.

Networking & Community

WeCloudOpen is a community built for tech leaners, practitioners who want to share thoughts, tips, and best practices with fellow learners and grow together.

Events & Workshops

Catching up with the latest tech industry trends by attending WeCloudOpen Workshops and community events. Learn practical tools and always stay relevant. 

student success

What our graduates are saying

Laura Vieira

Graduated 2021 | Reviewed on 17 October 2021

“Amazing course and support”

The course was really great a little too fast if you are not in a technical field already. You will need to study hard reviewing classes and making the labs and assignments but you always have the support of the TAs (they are awesome) or even the instructors and your own classmates that are always helping each other via Slack. There will be a final project where you will need to present a pipeline that you created (don’t worry they will be helping you!). Then, they will be helping you to find a job. Shaohua is always looking for the best for his students, he wants to make sure that you have the best experience with them.

Albert N.

Graduated 2022 | Overall ⭐⭐⭐⭐⭐

“A solid bootcamp”

I completed the Data Engineering bootcamp at Weclouddata and was fortunate to land a job approximately 1 month after graduating. As many others have mentioned, the most significant reason that makes WCD stand out is its corporate partnerships. These companies, ranging from high profile multinationals to small local startups, provide real development work for the students and in turn makes all the difference on your resume. As long as you work hard in this program, you have a good chance of success.


Graduated 2022 | Overall ⭐⭐⭐⭐⭐

“Data Engineering boot camp – great experience”

Prior to joining the WeCloudData Data Engineering boot camp I already had some Data Engineering experience in previous jobs and a master’s degree in big data and machine learning. This program provided me with the opportunity to enhance my data engineering background and helped me land a Senior Data Engineer role in AI operations.

Let WeCloud Accelerate Your Career in Tech

Start your application

Want more details about this program? Unsure about which path to take? Apply now to reserve a spot or make an appointment with our learning advisor. 

Start learning with WeCloud Open

Join WeCloud Open and start learning today! We provide open courses, career guide, and learning resources. It’s a great way to start your career in tech!


Frequently asked questions about the bootcamp
WeCloudData provides an end-to-end solution for career switchers. With WeCloudData, students expect to follow a well-structured curriculum, get on-demand and classroom-based support when they need it, work on real-world problem solving, and get 1<>1 career mentorship from real experts.
All online lectures are recorded so the students can watch them in case he/she misses a few lessons. You can also book on-demand TA sessions with our TAs to help you catch up on the material.
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!
We offer the following financial aids in US and Canada: scholarship, loan, and payment plans. Government grant such as BJO is also available in Canada.
The cloud platform this course focuses on is AWS. We don’t teach other cloud providers, but we will provide self-paced Microsoft Azure/GCP materials for students in the immersive program.
Typically, students must assign at least 15-20 hours per week (including lectures) to expect good results.
Data engineers don’t need to have extensive knowledge of machine learning. However, data engineers work closely with data scientists and analysts. Understanding the high-level DS/ML workflow will be very useful. WeCloudData provides Open Courses that allow data engineers to learn more about data science and machine learning.
SQL and Python experience will be definitely useful. We have admission assessments that help us decide whether a student meets the admission criteria right away. For students who don’t meet the admission criteria, we would recommend going through the pre-bootcamp learning. Ideally, 2-3 months of self-paced learning is required to build up the foundational SQL and Python skills.
We encourage students to attend all the labs, but it is not mandatory. Students will finish a mini project during the labs by following the live instructions provided by teaching assistants. Students can watch the lab recordings if they missed it.
Students will complete two big end-to-end projects during the bootcamp. The two projects are very comprehensive and help students put things they learn in the bootcamp together. System design is required and students will need to implement everything from scratch. Students will also implement 13 mini-projects during the lab sessions.
Two large-scope portfolio projects and 13 mini-projects.
Yes, it’s possible! Your past IT experience is valuable and with the right preparation and kick-ass portfolio projects, we’ve seen students getting hired into senior roles.
View our Data Engineering Bootcamp course package


Data Engineering Bootcamp

Bootcamp Application
MM slash DD slash YYYY