Learn core JavaScript concepts and prepare for your software engineering career.

This part-time, remote program aims to build your core JavaScript knowledge, improve your technical communication, and develop your engineering toolkit.

CS Prep is a 2-week program covering JavaScript concepts, engineering best practices, and technical communication. The program includes live-online instruction, daily problem-solving workshops, and a passionate coding community to help you prepare for top coding bootcamps, such as Codesmith’s selective Software Engineering Immersive programs, and solve real-world problems.

Program Overview

Learn Core JavaScript
Cement fundamental JavaScript concepts in live-online lectures, such as the call stack, functions, and closure.

Expert Construction
Learn from experienced instructors who are both passionate about coding and love to teach! With experience both in the field and in the classroom, you will be learning from the best.

Start Thinking Like an Engineer
Computer science concepts help you understand the abstract ideas behind programming. CS Prep will help you to learn to code & think like an engineer to build efficient software.

Scholarships and Tuitions Rollover
Finances shouldn’t keep you from learning to code. Scholarships are available to cover up to 100% of tuition and your CS Prep tuition rolls over to one of our Software Engineering Immersive Program's tuition upon acceptance.

Passionate Community
Be a part of a fun, yet a dedicated community of coders who are collaborative, supportive, and passionate individuals learning an in-demand skill set.

Build Your Engineering Skill Set
Start learning and utilizing current engineering tools and practices. Gain the skills to debug your code, create awesome projects, and communicate effectively.

Curriculum Overview
The CS Prep curriculum will go under the hood of JavaScript, challenging you to learn coding fundamentals, refine your analytic problem-solving and build a technical communication skill set. By the end of the 2-week bootcamp prep, you will have developed the essential knowledge of a software engineer, gained engineers' best practices, and you will have built 2 awesome projects.

JavaScript Fundamentals
When learning a new skill, you always have to start somewhere! CS Prep begins by laying the foundation of JavaScript tools to help you build your own web applications.

Functions & Their Execution
Functions allow developers to manipulate data and are a quintessential tool in an engineer’s toolbox. You will learn how local and global memory, the execution context, and the call stack are crucial to implementing functions within applications.

Data Types
By delving into the underlying architecture of JavaScript, students acquire a deeper understanding of how data types and primitives can be used to create more complex data structures.

Intermediate JavaScript Concepts
Get a deeper understanding of the flexibility and versatility of JavaScript and why it is one of the most powerful programming languages!

Higher-Order Functions & Callbacks
Higher-order functions enable you to abstract functionality in order to create more modular and efficient code. You will not only learn to implement them but will also learn to recreate higher-order functions from the ground up.

Closure
The concept of closure is widely misunderstood, yet it affords JavaScript a degree of flexibility that has made it an incredibly powerful programming language. You will learn the benefits of closure in order to utilize them in your own functions.

Computer Science Fundamentals
While a computer science background is not necessary to become a valued member of a software engineering team, the fundamentals are extremely helpful to solve complex problems efficiently.

Recursion & Algorithms
Algorithms allow programmers to solve problems by accomplishing systematic tasks. You will learn about Big O Notation to measure time and space complexity and to make informed decisions when considering the algorithmic efficiency of a given function.

Intro To OOP & Prototypal Inheritance
During CS Prep, you will acquire an introductory understanding of object-oriented programming principles, such as inheritance, abstraction, and encapsulation, in addition to their distinct implementation in JavaScript with the prototype chain.

Engineering Soft Skills
Codesmith emphasizes creating well-rounded engineers. Begin refining this set of core capacities by learning effective technical communication & analytic problem-solving skills.

Technical Communication
A key competency of software engineers is technical communication. Throughout CS Prep, you will practice your ability to clearly and concisely describe your code and approach strategy through pair programming and technical presentations.

Problem Solving & Debugging
Understanding how to effectively find and solve a bug is an incredibly sought-after trait in developers. You will learn debugging best practices and develop a toolset to find even the most hidden errors.

Meet students who advanced their careers with Codesmith

Stone F.
CS Prep Graduate
"The teachers in this program were absolutely amazing and showed passion in teaching the content. The amount of information I learned and practiced in just two weeks was more than I learned by myself in six months. I highly recommend CSPrep for someone who is new to coding and also to people who want to understand what is happening under the hood in JavaScript."

Have you been struggling to land a data scientist job even though you’ve completed an online certification course, graduated from a bootcamp, or received a Master’s degree in data science? Do you struggle with resumes and interviews because you lack real project experience? Are you planning to switch jobs and realize that you don’t have much relevant experience on your resume? Do you feel less confident because you don’t have the right feedback that could point you in the right direction?

What you will learn

The client project program comes with a 6- month real project training plus an additional 6 months of career mentorship. Your mentor will help you set a clear path, create a job search plan, and your client project manager will guide you to build the right experience that will get you many interviews.

Summary
- Real client project experience
- 1-1 career mentorship by experts
- Receive constructive feedback on projects and interviews
- Get referred to hiring companies

About the Course
Under the mentorship and guidance of WeCloudData’s career mentors as well as project managers, you learn to build up your real project experience and gain the confidence and necessary background to land your dream job in data science.

Have you been struggling to land a data scientist job even though you’ve completed an online certification course, graduated from a bootcamp, or received a Master’s degree in data science? Do you struggle with resumes and interviews because you lack real project experience? Are you planning to switch jobs and realize that you don’t have much relevant experience on your resume? Do you feel less confident because you don’t have the right feedback that could point you in the right direction?

If the above situations apply to you then WeCloudData’s 1- 1 career mentorship program is created just for you. Inquire today to learn how we can help you make the switch.

What you will learn

The client project program comes with a 6- month real project training plus an additional 6 months of career mentorship. Your mentor will help you set a clear path, create a job search plan, and your client project manager will guide you to build the right experience that will get you many interviews.

Summary
- Real client project experience
- 1-1 career mentorship by experts
- Receive constructive feedback on projects and interviews
- Get referred to hiring companies

About the Course
Under the mentorship and guidance of WeCloudData’s career mentors as well as project managers, you learn to build up your real project experience and gain the confidence and necessary background to land your dream job in BI and Data Analytics.

Artificial Intelligence has made leaps and bounds in the past few years. Deep Learning, one of the most important driving forces of this AI revolution has become an essential technique to tackle complex challenges such as Computer Vision, Natural Language Processing, and Voice Recognition. In this course, you will learn the essential tools and skills required to apply DL to real-life problems.

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 and use cases in computer vision and NLP.

Summary
- Real client project experience
- 1-1 career mentorship by experts
- Receive constructive feedback on projects and interviews
- Get referred to hiring companies

About the Program
The Applied Deep Learning course is developed for data scientists who want to up-skill themselves or students and professionals who want to learn applied AI techniques for a career transition. It prepares learners with the necessary theoretical and technical foundations before getting more specialized. Students are required to have python and basic machine learning knowledge before enrolling in this course.

The amount of structured and unstructured data is exploding at a phenomenal speed. Python and R are NOT the best tools when it comes to analyzing big data.

As more and more companies move to build their data infrastructure in the cloud, new distributed computing frameworks such as Hadoop and Spark emerged as distributed platforms. Data Scientists who analyze big data not only need to adapt these new tools but also need to deeply understand the data infrastructures, database systems, as well as how to build data science pipelines in the Cloud platforms such as AWS and Azure.

What you will learn

This advanced-level big data course teaches you practical big data skills that you won’t be able to learn anywhere else. It covers several important topics such as distributed computing, cloud, real-time data ingestion, machine learning at scale, as well as how to deploy and operationalize machine learning models in production.

Summary
- Real client project experience
- 1-1 career mentorship by experts
- Receive constructive feedback on projects and interviews
- Get referred to hiring companies

About the Program
Big Data for Data Scientists is an 8- week advanced- level project-based course that teaches data scientists the necessary tools to work on large-scale data science problems. The entire course is built around an end-to-end real-time machine learning problem. Students will learn the most cutting-edge big data frameworks and tools such as Apache Spark, Amazon SageMaker, Databricks, MLflow, Kafka, Elasticsearch, and Airflow. Students will also learn how to train machine learning models at scale and deploy models at scale in real-time.

Meet students who advanced their careers with WeCloud Data

Bach Pham
Data Scientist (Finance)
Every career change is different and is unique to the individual’s circumstances, but there are usually common themes people can relate to. So I hope my story can give you some direction on how you want to approach your career pivot into Data Science. At the time of my career transition, I was a new immigrant to Canada and also new to Toronto without knowing anyone. I knew I would be disadvantaged in finding a job because most posted jobs are only the tip of an iceberg and I would need extensive networking to have a good chance of landing an offer. So after finishing the WCD’s Analytics Bootcamp in summer 2020, I decided to join the mentorship program.

Python is THE MOST POPULAR programming language used by data scientists. It’s a no-brainer to start your journey by learning Python coding.

However, Python is only a tool used by data scientists for analyzing complex data. To become a data scientist, you need to learn how to analyze data using various tools and libraries in the ecosystem such as NumPy, SciPy, Pandas, and Plotly. Keep in mind that the ability to extract, load, transform, reshape, and visualize data using Python is the key to the success.

This course focuses on teaching the necessary coding, data wrangling, data analysis, and visualization skills required for data scientists. Do you want to know how we help students maximize their learning effectiveness through hands-on projects, coding quizzes, presentations, strong teaching guidance, and support?

Fill out the inquiry form to learn more about the Data Science course curriculum or to talk to our learning advisor.

What you will learn

In this course, we start by introducing Python programming fundamentals including coding basics, data types, functions & modules, and then we will teach Pandas DataFrame for data munging and analysis, NumPy and SciPy for numerical computing, Matplotlib, Seaborn, and Plotly for visualization, and Scikit- Learn for predictive modeling.

You will put these tools to use by implementing your own portfolio project and learning how to articulate your analysis through technical and business presentations.

Summary
- Real client project experience
- 1-1 career mentorship by experts
- Receive constructive feedback on projects and interviews
- Get referred to hiring companies

About the Program
This 5- week Data Science with Python course is one of WeCloudData’s signature course products. Hundreds of students have participated in this course and taken their data analytics skills to the next level. You will meet hiring managers, product managers, directors, and many other professionals who come to this class to polish their Python skills. The course is practical by design, and students learn how to carry out end-to-end data analysis, discover insight, and communicate analytical results through hands-on project implementations.

Meet students who advanced their careers with WeCloud Data

Xiaodong Li
Data Analyst (Insurance)
I heard about WeCloudData from one of your previous students, he’s a friend of a friend. He told me he was able to find a job through WeCloudData and had learned a lot of things while he was a student here. 

Jackson R.
Data Engineer
Data Science is a good area to dive into. Learn new things, keep practicing, put in the effort; there will be success.

SQL is one of the most important skills any data professional needs to master. It has always been one of the top 3 highly demanded skills in the job market for data science, analytics, and data engineering-related positions. This course focuses on teaching students the necessary SQL skills to filter, transform, aggregate, and join relational data and answer complex business questions.

What you will learn

This is NOT an entry-level SQL course. The goal is to help our students get job-ready. You will receive intensive training on SQL, business presentation, visualization, and get quizzed on Leetcode/Hackerrank questions.

The month-long course covers essential SQL programming skills and teaches students how to apply SQL for various business cases. The final project requires students to complete a visual analytics project using both Tableau and SQL.

Summary
- Real client project experience
- 1-1 career mentorship by experts
- Receive constructive feedback on projects and interviews
- Get referred to hiring companies

About the Program
SQL Fundamentals is a 4- week instructor-led online live course that helps students hone their SQL skills to be job-ready. Students will learn real-world SQL use cases from the instructor and apply what they learn in class to answer business questions.

This is an intensive yet effective course that helps you get started with SQL quickly. Students will not only learn practical coding skills but also learn by working on course projects. At WeCloudData, there’s nothing textbook about our approach.

Meet students who advanced their careers with WeCloud Data

Mingzhi Sha
Data Scientist at Bell
It helped me greatly in job searching. Every interviewer is extremely interested in the project experience, and they keep asking questions about that. I can tell my project experience is the pitch point. Some interviewers are even subscribers to my client company, and therefore they can get how my work can contribute to the client company. Another advantage is that the story of working with other people can exactly help me to answer behavioral questions. Overall speaking, project experience makes my resume look solid and enables me to stand out from other candidates.

Hongbiao Tao
Data Scientist at DevFacto Technologies
My most enjoyable experience from the Data Science program was the extensive hands-on assignments and projects. They were great opportunities to practice what I learned. I found them challenging but fun! As for the instructors and teaching assistants’ support, I found they had quick response times and supported us very well – I really loved this part.

Because of the pandemic, my lectures were online (live). I appreciated that there was more flexibility and support during these times. A tip for current students to be successful in online classes would be to stay focused.

According to deeplearning.ai, 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’re 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 their skills in deep learning, computer vision, NLP, big data, and MLOps.

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.

Summary
- Real client project experience
- 1-1 career mentorship by experts
- Receive constructive feedback on projects and interviews
- Get referred to hiring companies

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.

Meet students who advanced their careers with WeCloud Data

Joe Xu
Data Scientist at Chapeau! AI Agency
As a fresh graduate from the Data Science MS program, my knowledge and skills were qualified for many data jobs, so I did not need to start from the very basics like most Bootcamp students. After doing WeCloudData’s qualification exam, I was assigned to the project-based program.
The project-based program did not mean that I could only work on the projects. In fact, it went so much beyond my expectation of how many learning materials I would get access to, to not only refresh my knowledge but also to learn more skills. At the very basic level, I had access to courses that the Bootcamp students took, so I could go back and look up anything that I felt uncertain about. I was also free to join the part-time courses to learn more about advanced topics, such as big data, which was not offered back in my data science MS program. All of the courses were very practical and meant to prepare the students for their careers, so it was quite a different but enjoyable experience for me compared to those offered in the universities that lean more towards academics.

Albert Ngan
Azure Engineer at CIBC
As with any Bootcamp, a tremendous amount of learning is squeezed into a short time. That’s by far the biggest challenge. New concepts take time to really wrap your head around and digest so pre- studying is highly recommended. The instructors are very knowledgeable, sharp, and open to discussion, but you can only fit so much material in a 3- hour lecture. The rest is on your own time using additional resources for self-learning – which is not always easy if you’re used to being spoon-fed in a traditional classroom setting – but we luckily live in a world where virtually any question can be answered with Google. It’s important to understand that most of your learning will be done outside of lectures and labs.

The need for DevOps skills has always been there and the rise in agile software delivery has accelerated the need for a paradigm shift within the world of IT operations. With the right DevOps tools and systems in place, SysAdmins and operations teams can match application development agility with infrastructure provisioning speed. DevOps is on the rise and DevOps engineers command extremely high salaries and a job market demand to envy.

What you will learn
You will gain fundamental DevOps knowledge and learn essential skills in the classroom. To solidify the theory you will practice what you learn in group projects and complete an end-to-end DevOps pipeline that requires the use of industry best practices and tools including Terraform and Kubernetes.

Summary
- Real client project experience
- 1-1 career mentorship by experts
- Receive constructive feedback on projects and interviews
- Get referred to hiring companies

About the Program
The Applied DevOps Certificate Program is created to help new graduates, IT professionals, and career-switchers break into the DevOps space. The learning package includes 6 months of intense training and 6 additional months of job support after graduation. This program is very intensive and requires both time commitment and focus. However, the hard work will pay off and you will be proud of your accomplishments. Learn more about the DevOps career path.

Meet students who advanced their careers with WeCloud Data

Christina Song
Senior Business Analyst at Scotiabank
Accredited courses WeCloudData Bootcamps will add credibility to my profile. After successfully passing the tests, completing the curriculum, and finishing projects, I proudly added the WeCloudData Certificate of Completion to my LinkedIn page.

Sylvester Lall
Data Analyst at Power Factors
Waiting for a good 2 years to enter the DD domain, I had copious amounts of research. I wanted to ensure that the program would get me where I wanted to be in the tech world. I was looking for a program whose syllabus encapsulated key skill areas to become a Data Scientist yet did not take 2 years to complete. I was a career switcher, had over 11 years of work experience, a new immigrant to Canada, and a family to provide for; clearly, I did not have the kind of time or bandwidth that a Master’s degree demanded. That’s when I narrowed down my search to Bootcamps – a route that didn’t require me to invest a massive amount of time, not to mention money, at the same time acquiring relevant tech skills that are sort after by employers.
Of all the Bootcamps that I had researched about, WeCloudData was clearly a cut above the rest. What made WeCloudData the clear winner was their exhaustive syllabus covering only the most relevant tech skills that employers look for and the fact that I would get the opportunity to put those skills to the test by solving real-world business problems by working on Client Projects.

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

Data Engineering programs aren’t easy to design because curriculums need to be frequently updated due to the rapid changes of 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 who have a strong industry background and hands-on experience. That’s why you don’t find many options out there.

At WeCloudData, we teach you the most essential skills required for transitioning into a modern DE role and give you opportunities to build up your project portfolio. Most importantly, this program offers post-graduation job support, mentorship, and job referrals to help you with the transition. Read along and learn why you should stop looking and get enrolled in the best data engineering program.

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.

Summary
- Real client project experience
- 1-1 career mentorship by experts
- Receive constructive feedback on projects and interviews
- Get referred to hiring companies

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 6 months of training and 6 months of job support after graduation. The part-time option is great for work professionals who want to keep their daytime job and commit to learning new skills on weekday evenings and during the weekends. Full- time option also comes with real client projects to help you build up your relevant experience fast.

Meet students who advanced their careers with WeCloud Data

Saif Rahman
Data Analyst at Medcan
After graduating from WeCloudData, I worked on two client projects with Beamdata. This experience helped me land a job at Medcan as a data analyst. I feel much more confident in my technical and personal skills. I made some great friends that I still speak with and learn from. I’m not only extremely excited for where my career may lead me, but also for the potential in data science as well.

Aaron Wu
Data Engineer at Coherent Path
Now I am working as a full-time data engineer at a start-up company. Our company helps retailers to personalize their emails. I use Spark to fetch data at different locations, build pipelines and feed them to our model. One of the most exciting parts of my job is that I get to run A/B tests, from building the hypothesis, analyzing the result, determining if it is statistically significant, all the way to presenting the results and recommending the next step. We even use the A/B test to improve our model’s parameters. (If you had no idea what A/B test is about, learn more about it here AB test guide)

I am super happy with my current job, and I am still learning new things, I learned Git when I first joined the company, and I am currently reading books about cloud computing. None of those would have happened if I hadn’t chosen WeCloudData. Even though I graduated more than a year ago, I still keep a close connection to friends and colleagues I met there, we supported each other in learning, job hunting, and all other aspects.

Joining WeCloudData is not only about learning new things, but you will know that you are not alone on the path of chasing your dream!