Upcoming Cohort
Data Engineering
Data Engineering Bootcamp
(Python/SQL)
Your future career starts here. Learn in-demand skills.
Pay no tuition until you get hired.
Full Time | 12 Weeks | 40+ Hours/Week
On Site @ Albab Coworking Space
Status Of Bootcamp: Open For Registration Data Engineering Bootcamp
(Python/SQL)
Your future career starts here. Learn in-demand skills.
Pay no tuition until you get hired.
Full Time | 12 Weeks | 40+ Hours/Week
On Site @ Albab Coworking Space
Status Of Bootcamp: Open For Registration Upcoming Cohort
Data Engineering
Apr 25, 2025 - Jul 18, 2025
Sep 5, 2025 - Nov 28, 2025
Jan 10, 2026 - Apr 4, 2026
Data engineering is the practice of designing and building systems that collect, process,
store, analyse and visualise massive data sets. It’s the foundation for the new world of Big Data with various implementations in just about every industry.
The Data Engineering bootcamp is an amazing opportunity for students who want to
learn how to build data infrastructures to solve real world challenges.
The Data Engineering bootcamp is an amazing opportunity for students who want to
learn how to build data infrastructures to solve real world challenges.
Data Analytics Platform 
Google Cloud Platform
Curriculum
Job-Ready Skills employers are looking for.
We constantly improve our curriculum based on the ever-changing needs of the technology industry and employers feedback.
+ WEEK 1
DATA ENGINEERING SKILLS
Learn about the core skills to become a data engineer and how
this role differs from software engineers and data scientists. Get
an overview about data pipelines, python programming language
and the tools needed throughout the bootcamp.
+ WEEK 2-3
DATA COLLECTION
Learn about different data formats like JSON, XML, CSV, and build scalable data collectors for receiving user events and items metadata in addition to saving the collected data into local machines and to Google Cloud Storage.
TOPICS:
Data Formats, Behavioral data, Scalable Web apps, Web scraping, Client Tracking, Data Generator
+ WEEK 4
DATA PROCESSING
Learn about the various techniques to process, clean, enrich and transform data and build a pipeline to process the previously collected web pageviews and website items metadata.
+ WEEK 5
BIG DATA PROCESSING
Learn more about the big data ecosystem and how to use Apache Spark and Apache Beam to work with massive datasets and get familiar with parallel processing, batch and realtime systems.
+ WEEK 6-7
DATA MODELING & STORAGE
Identify the strengths and weaknesses of dierent types of
databases and data storage techniques, and learn more about
using Sql and NoSql databases
+ WEEK 8
DATA STORAGE USING CLOUD DATA WAREHOUSES
Understand Data Warehousing architecture and get an overview
about Google Bigquery. Trainer will also build a bigquery dataset
to save Enriched User Events and items Metadata.
+ WEEK 9
DATA ANALYSIS USING SQL AND PYTHON
Get a deep understanding about SQL commands to filter, sort,
group and join data. Also learn how to use Python pandas to
analyse small data sets and Spark/Beam to analyse massive
datasets.
+ WEEK 10
DATA API & SECURITY
Learn how to build data services or data APIs that access,
transform, and deliver analytic data in Json format using Python
flask framework in addition to securing the APIs from
unauthorized access.
+ WEEK 11
DATA VISUALIZATION
Learn the fundamentals of data visualization and design. You’ll
learn to select the most appropriate data visualization based on
the goal of the analysis. You’ll also learn important design
elements for graphically representing data in addition to using
Google data studio to build interactive and engaging dashboards.
+ WEEK 12
DATA INTELLIGENCE & MACHINE LEARNING
Students will get a general overview about machine learning and
play around with some libraries related to ML like scikit learn.
Graduate With A Portfolio 
During the bootcamp you will be working on a Data Analytics Platform with different use
cases you can choose from. The system has several modules:
– Data collector
– Data processor
– Data Store
– Data Analyzer
– Data visualiser
It’s time to invest in yourself.
Get on the launchpad
and launch your tech career.
Who is it for?
We Welcome
- People with no prior experience
- Beginners who have a brief background about programming
- Professionals who want to strengthen their programming knowledge
- Rigorous and motivated career shifters and entrepreneurs
- Fresh CS/CE graduates who want to gain in-demand skills and build a portfolio to launch their career
Tuition
Deferred Tuition
01 Select your Bootcamp
02 Enroll and pay $0 tuition
03 Begin study
04 Complete the bootcamp
05 Get Employed
Find the bootcamp that’s bests for you
Only LBP 400,000 registration fee applies
Dive straight into your coursework
Get the career support needed
Deffered tuition agreement activates
01 Select your Bootcamp
Find the bootcamp that’s bests for you
02 Enroll and pay $0 tuition
Only LBP 400,000 registration fee applies
03 Begin study
Dive straight into your coursework
04 Complete the bootcamp
Get the career support needed
05 Get Employed
Deffered tuition agreement activates
Career Services & Support
A dedicated Career success manager will be following up with students along the
bootcamp to prepare them for post-graduation challenges through:
Resume Help
Connect With Employers
Interview Training
Post-graduation Support
Linkedin Profile
Soft Skills
FAQ
+ What is a coding bootcamp?
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.
+ WHO CAN APPLY TO DGPAD BOOTCAMPS?
Anyone can apply to our bootcamps however beginners and career shifters are required to take a 6 weeks prep course before joining.
+ HOW DO I APPLY AND WHAT IS THE ADMISSION PROCESS?
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.
+ WHAT IF I DON’T FEEL PREPARED TO APPLY FOR THE BOOTCAMP RIGHT NOW? CAN I TAKE THE PREPARATION COURSE?
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.
+ HOW DID YOU COME UP WITH THE CURRICULUM?
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.
+ WHY DATA ENGINEERING AND NOT DATA SCIENCE?
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.
+ HOW MUCH TIME DO YOU EXPECT STUDENTS TO PUT IN THE BOOTCAMPS?
The o cial bootcamp schedule is 9 to 5, Monday to Friday but we expect students to put in 40+ hours a week.
+ WILL I GET A JOB AFTER GRADUATING FROM THE BOOTCAMP?
Absolutely. It really just depends on how motivated you are! You get out what you put in.
+ WHAT IS THE COST OF DGPAD BOOTCAMPS?
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.
+ WHAT CODING LANGUAGES DO I NEED TO KNOW FOR ADMISSION TO THE BOOTCAMP?
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.
+ WHAT ARE THE MINIMUM REQUIREMENTS TO APPLY?
dgPad welcomes and encourages anyone to apply. If you pass the interview you will be eligible to join our bootcamps.
+ WILL I NEED TO BUY COMPUTER HARDWARE?
You need to have a laptop with the following minimum specs:
- 8 gb rams
- Core i5 4th generation