Coding bootcamps are an innovative new form of short-term, intensive, and often immersive education designed to provide aspiring  

tech professionals the technical skills they need to start careers in software development and other tech fields.

Anyone can apply to our bootcamps however beginners and career shifters are required to take a 6 weeks prep course before joining.

Start by submitting an application online, the admission will be in contact with you to schedule an interview with one of our instructors.  

After the interview you should receive an email with a decision.

Our bootcamps are advanced level, meaning that beginners and career shifters may be required to join a 6 weeks prep course to acquire the foundations needed to participate in our bootcamps. We have put together a prep course for each bootcamp: Web  

development prep course (.net), Web development prep course (Java), and Data engineering prep course (Python).  

The course duration is 6 weeks/2 hours a day, and If successfully completed, applicants will be guaranteed a seat in the upcoming chosen bootcamp.

Our curriculum is a result of extensive market research and is based on companies' needs. It is a live document and is constantly  changing to address employers’ feedback and evolving technologies in the tech industry.

There is a significant overlap between data engineering and data science when it comes to skills and responsibilities, however the main  di erence is focus. Data Engineers are focused on building the infrastructure and architecture for data generation while data scientists  are focused on advanced mathematics and statistical analysis on that generated data. 

Data Scientists are engaged in a constant interaction with the data infrastructure but they are not responsible for building and maintaining it. Instead, they are internal clients, tasked with conducting high-level market and business operation research to identify  trends and relations, which require them to use a variety of sophisticated machines and methods to interact with the data and act upon. 

On the other hand, data engineers work to support data scientists and analysts by providing the infrastructure and tools that can be  used to deliver end-to-end solutions to business problems. Data engineers build scalable, high performance infrastructure for delivering  clear business insights from raw data sources; implement complex analytical projects with a focus on collecting, managing, analyzing,  and visualizing data; and develop batch & real-time analytical solutions. 

Our data engineering bootcamp will teach you how to build end-to-end data applications to support your organisation’s needs.

The o cial bootcamp schedule is 9 to 5, Monday to Friday but we expect students to put in 40+ hours a week.

Absolutely. It really just depends on how motivated you are! You get out what you put in.

Our bootcamps are completely free until you land a job. A registration fee of only LBP 400,000 will be charged at the beginning of the  bootcamp.  

We run on a deferred tuition model which means, you will be required to pay the program tuition as soon as you land a job. Our bootcamp tuition is fixed at USD 4,000 paid on a one or two years installments.

Each bootcamp has a main language that you should be proficient in. We expect you to know how to code with one of these  languages: .net/C# or Java for the web development bootcamps and Python for the Data engineering bootcamp. Our bootcamps are  not designed to teach you how to code from scratch, rather, our focus will be to teach you how to build web applications and end to  end solutions with the di erent tech stacks. 

The preparatory course and the coding workshops are always a good place to start.

dgPad welcomes and encourages anyone to apply. If you pass the interview you will be eligible to join our bootcamps. 

You need to have a laptop with the following minimum specs: 

- 8 gb rams 

- Core i5 4th generation