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Welcome to "Athar" – your destination towards professionalism! Start your journey on our comprehensive itineraries, pass certificates, qualify for the labor market. Learn today, make tomorrow-that's where the impact begins.
عربة التسوق
المعسكر الاحترافي الشامل في هندسة البيانات
فرصة قوية للتأهل للشهادة الاحترافية من مايكروسوفت بالإضافة إلى تدريب في شركة IBM
معسكر تدريبي احترافي شامل في Data engineering Prepares you from scratch to the level of professionalism،
With intensive practical content, real projects, and certificates approved locally and internationally، With A training opportunity for outstanding people at IBM Formal qualification of certificates Microsoft Professional.
The average salary is SAR 13,000 per month for a data engineering job
According to the statistics of Glassdoor and Naukrigulf
Global training for the outstanding
Training of outstanding students is free of charge at IBM international company and obtaining a training certificate
The highest percentage of discount on the exam
60% discount for trainees on the Professional exam from Microsoft 100% discount for the winners
Qualification for the Professional Certificate DP-700
Obtaining a public organization certificate and Microsoft and Cisco certificates Qualification for professional certification DP-700 from Microsoft
Follow-up after graduation
Follow-up after graduation from the camp for 3 months and follow-up during the camp from the lecturers
Professional training
Special content for training on the best resume template and job application strategy through Linkedin and preparing for a job interview

- LevelAll Levels
- Duration60 ساعات
- Last UpdatedFebruary 12, 2026
This career path includes the following:
A comprehensive approach from scratch to professionalism:
Full mastery of Python, SQL, Spark, Kafka & Azure Across 11 modern units.
Real practical experience:
Building a strong Portfolio gallery through 10 + application projects Simulates the labor market.
A golden opportunity at IBM:
An exclusive internship opportunity within a company IBM For outstanding people to enhance your career path.
International certificates and accreditations:
Certified certificates and comprehensive qualification for passing the test Microsoft DP-700 The professional.
Flexible and hybrid learning system:
Integration between live lectures and recorded content (60+ hours) with access for a whole year .

- LevelAll Levels
- Duration60 ساعات
- Last UpdatedFebruary 12, 2026
This career path includes the following:
A comprehensive approach from scratch to professionalism:
Full mastery of Python, SQL, Spark, Kafka & Azure Across 11 modern units.
Real practical experience:
Building a strong Portfolio gallery through 15 + application projects Simulates the labor market.
A golden opportunity at IBM:
An exclusive internship opportunity within a company IBM For outstanding people to enhance your career path.
International certificates and accreditations:
Certified certificates and comprehensive qualification for passing the test Microsoft DP-700 The professional.
Flexible and hybrid learning system:
Integration between live lectures and recorded content (60+ hours) with access for a whole year .
What will you learn
- Comprehensive understanding of the data lifecycle from source to analysis and decision making
- Build scalable and reliable integrated data lines (ETL / ELT)
- Perform data extraction from the web (Web Scraping) using professional tools
- Handling NoSQL databases and managing unstructured data
- Processing big data using Apache Hadoop and Apache Spark
- Scheduling and automation of data lines using Apache Airflow
- Systems management, deployment and work within Git, linuxand CI/CD environments
- Understanding the real role of a data engineer and distinguishing it from a data analyst and a data scientist
- Mastering the Python language for Data Processing, Analysis and visualization
- Write advanced SQL queries and improve their performance
- Designing and building professional data warehouses
- Building real-time data transmission systems using Kafka
- Working on cloud data solutions using Azure and Microsoft Fabric
- The implementation of an integrated project (End-to-End Data Engineering Project) simulates a real work environment
The data became the following Real fuel for business… Companies are no longer just looking for a person who “analyzes data”, they are looking for the one who The data system builds itself: Where does the data come from How to store How to clean How to treat How to ensure Quality and safety؟ And how to quickly get to Reports and resolutions؟
Here the role of Data Engineer (Data Engineer) - The cornerstone of any data-driven enterprise.
Professional data engineering camp from AtharHub Academy Built with a clear step-by-step approach: starting from Data engineering concepts Then Python + Projects Then SQL وNoSQL (MongoDB/Redis)، And then we get into the essence of the path: Microsoft Fabric (Lakehouse / Spark / Delta / Medallion) Then Pipelines/Dataflows Then Warehouse + Security + CI/CD Then Real-Time Intelligence, With a practical qualification for a certificate DP-700 Construction Strong Portfolio projects Suitable for the Saudi and international labor market.
2) Full curriculum (Curriculum)
Axis 1: Introduction to data engineering
- What are they AtharHub Academy؟ How to get the most out of the camp
- Introduction to Data engineering And Data Management System (Part 1 + Part 2)
- Data structures and how to start the " data age” (Part 1 + Part 2 + Part 3)
Axis 2: Python for data engineering + Scraping (practical)
- Working environment: Colab + Python basics
- Data Structures + Practical application (and first project)
- OOP (Part 1 + Part 2) + practical application and project
- Pandas: File processing + working through files (Excel/CSV)
- Web Scraping: Requests + BeautifulSoup / Selenium
- Code organization + basics of Arabic text and coding (Arabic Text Basics & UTF-8)
- سلسلة مشاريع تطبيقية: Covid Scraping / Mobile App Scraping / Selenium Automation / Amazon Data Extraction
Axis 3: Databases and SQL + linking with Python
- Relational Databases and Tables (Concepts + tables + relationships)
- Intermediate SQL (Analysis + advanced process queries)
- Linking databases with Python
- مشروع SQL Analytics (E-commerce) Using Python and Power BI
Axis 4: NoSQL مع MongoDB وRedis
- Introducing NoSQL (When to use it and why)
- MongoDB (1 + 2): Modeling + Use Cases
- Redis (1 + 2): Caching + TTL + Key Patterns
- Applied projects: MongoDB Analytics Store + Redis Performance/Caching Layer
Microsoft Fabric (Core Track + DP-700)
Axis 5: أساسيات Microsoft Fabric وLakehouse
- Create an account and use Microsoft Fabric
- Fabric Components: Workspaces / OneLake / Capacities
- Lakehouse Basics: Files vs Tables
- Data Governance + Shortcuts + NDMO/PDPL (Brief introduction)
- Practical application: Create a Microsoft Fabric Lakehouse
- Project 10: Fabric Lakehouse Setup (Bronze)
Axis 6: Spark في Fabric + Delta Tables + Medallion
- Introduction Hadoop (The idea and why it appeared)
- Spark in Fabric Notebooks: DataFrames + Spark SQL
- Delta Tables: Create / Merge / Upsert
- Medallion: Bronze/Silver/Gold + Data Quality rules
- Practical applications: Spark + Delta + Medallion
- Project 11: Fabric Medallion Pipeline (Silver/Gold)
- Project 12: Spark SQL Analytics
Axis 7: Orchestration في Fabric: Pipelines وDataflows Gen2 (+ Airflow)
- Airflow + the difference between ETL وELT The most important tools
- Fabric Data Factory Pipelines: Ingestion / Scheduling / Parameters / Monitoring
- Dataflows Gen2: Transformations / Refresh
- متى تختار Pipelines أو Dataflows؟
- On-Premises Data Gateway (SQL)
- تطبيق عملي: Pipeline + Dataflows Gen2
- Project 13: Fabric Orchestration Project
Axis 8: Fabric Data Warehouse + Security + Monitoring + CI/CD
- Warehouse vs Lakehouse + Direct Lake + Semantic Models
- Practical application: Load Data Using T-SQL
- Practical application: Query + Monitor Data Warehouse
- Practical application: Secure Data + Secure Access
- Practical application: Monitoring Hub
- Practical application: Deployment Pipelines (CI/CD)
- Semantic Models (Design + Security)
- Project 14: Warehouse + Security/Monitoring/CI/CD
Axis 9: Real-Time Intelligence (RTI) في Fabric + Kafka
- Real-Time Intelligence Overview
- Eventstream Ingestion + Filtering
- Eventhouse Concepts + KQL Basics
- Real-Time Dashboards
- Activator: Alerts/Actions
- تطبيقات عملية: RTI + Eventstream / Eventhouse + Dashboards / Activator
- Project 15: Real-Time Flow + Dashboard + Alerts
Axis 10: Exam preparation + professional training (Career)
- The strategy of passing the test from the first attempt + Question bank
- ATS CV + application system
- LinkedIn + GitHub (Portfolio & Profile)
- The strategy of success in the job interview (technically and practically)
- Certificates within the camp
Axis 11 (optional): Docker + GitHub
- Docker Basics + Docker Compose (Capstone Repo Setup)
- GitHub + README
- Practical application on Docker
Axis 12 (optional): Linux
- Linux basics
- Directory Management + File Management
- Shell Scripting + Bash
- Cron + Scheduling Jobs
- تطبيق عملي: Scripting + Scheduling
3) Projects (15 projects / practical applications-Portfolio is ready)
- Project 1: Practical application to Data Structures (And the first project)
- Project 2: OOP Practical and project application
- Project 3: Scrape Web Covid
- Project 4: Scrape Mobile App
- Project 5: Selenium-process automation
- Project 6: Selenium-withdrawal of data from the Amazon website
- Project 7: SQL Analytics Project (E-commerce) with Python and Power BI
- Project 8: MongoDB Analytics Store
- Project 9: Redis Performance/Caching Layer (Use Cases + Benchmark)
- Project 10: Fabric Lakehouse Setup (Bronze)
- Project 11: Fabric Medallion Pipeline (Silver/Gold)
- Project 12: Spark SQL Analytics
- Project 13: Fabric Orchestration Project
- Project 14: Warehouse + Security/Monitoring/CI/CD
- Project 15: Real-Time Flow + Dashboard + Alerts
4) Camp features
- A strong track on Microsoft Fabric + Qualification DP-700 In practice, according to the logic of the exam.
- 15 projects / practical application To build a real viewable Portfolio in GitHub and interviews.
- Live Training + recorded content For flexible access and re-review.
- Support and follow-up for two 3 months After the camp To answer questions and solve project problems.
-
Accreditations and certificates:
- Technical and vocational training Corporation (TVTC).
- Certificate of attendance + Badges Professional (according to Microsoft Learn tracks).
- Cooperation and certification related to Cisco.
- Microsoft Exam discounts: 60% For everyone and100% For valedictorians.
- An internship opportunity at IBM For those with the highest results (according to an optional test/assessment).
- Full professional qualification: CV + LinkedIn + Portfolio + interviews + recruitment plan.
- Limited number To ensure the actual follow-up and quality of training.
- A special gift: Free Registered program “Artificial intelligence entrepreneur”.
From learning to Mastery: a comprehensive journey that prepares you for the jobs of the future in one intensive camp.
Training curriculum
Introduction to data engineering
1-What is Athar educational academy How to get the most out of the camp
10:27- 20:27
3-introduction to data engineering and Data Management System 2
07:374-Data Structures and how the data age looked like
18:185-Data Structures and how the data age looked like 2
15:466-Data Structures and how the data age looked like 3
15:12
Python
شرح المنصة
03:367-introduction to Python
07:408-working environment in Python Colab
08:379-Python basics 1
22:5310-Python basics 2
25:3111-Python basics 3
20:1612 - exercises on the basics of Python
02:56Exercises on the basics of Python
13-iteration loops and conditions in Python
28:3014- هياكل البيانات List Tuple Set Dict
30:2715. first draft Data Structures and replication loops
13:52تطبيق عملي على هياكل البيانات.
16. functions
16:5317-functions and OOP
21:12Practical application to OOP and functions
18- التعامل مع الملفات ومقدمة الى Pandas
29:3518- كيف تعالج البيانات النصية في بايثون باستخدام UTF-8
14:17التعامل مع الملفات تطبيق عملي
19- Web Scraping:باستخدام Requests وBeautifulSoup
36:5220- معالجة الملفات + معالجة الملفات من خلال Pandas
47:3621- مشروع 3 Scrape Web Covid
24:4822- Web Scraping:باستخدام Selenium
29:0323- مشروع 5 اتمتة العمليات من خلال Selenium
14:2724- تنظيم الكود واهم النصائح ومشروع عملي على تنظيم الكود
20:1125- مشروع 6 سحب البيانات من موقع أمازون Selenium
26- 4 مشروع : Scrape Mobile APP
Databases and linking with Python
27- التعامل مع SQL Relational Databases and Tables
36:2328- Intermediate SQL
30:3529-linking databases with Python
30- مشروع 7 SQL Analytics Project (E-commerce) with Python and Power BI
NoSQL مع MongoDB وRedis
31- مقدمة Introducing NoSQL
36:2332- MongoDB – An Open-Source NoSQL Database 1
18:1633- MongoDB – An Open-Source NoSQL Database 2
23:4434- Redis 1
35- Redis 2
36- مشروع 8 MongoDB Analytics Store
37- مشروع 9 Redis Analytics Store
Microsoft Fabric وLakehouse و Spark
38-how to create an account in the Microsoft Microsoft factory platform
07:5939- Fabric Components (Workspaces/OneLake/Capacities)
09:4540- Lakehouse Basics (Files vs Tables)
13:5441- Lakehouse تطبيق عملي
26:2542- تطبيق عملي Create a Microsoft Spark
25:2843- Spark in Fabric Notebooks (DataFrames + Spark SQL)
26:1844- Spark SQL with Microsoft fabric
25:1045- مشروع 10 Fabric Lakehouse Setup (Bronze)
51:5046- مشروع 11 Fabric Medallion Pipeline (Silver/Gold)
29:5747- مشروع 12 تحليل البيانات بتعامل مع Spark SQL
21:49
التنسيق في Fabric: Pipelines وDataflows Gen2 & Airflow
52- ETL and ELT Processes الفرق واهم الادوات Airflow
34:1059- Warehouse vs Lakehouse + Direct Lake + Semantic Models
22:3360- تطبيق عملي Load Data Using T-SQL
25:3961- تطبيق Query + Monitor Data Warehouse
15:55Data warehouse أهم المصطلحات و Snowflake
35:2662- تطبيق عملي Secure Data in Warehouse + Secure Data Access
27:31
Fabric Data Warehouse + Security + Monitoring + CI/CD
63- تطبيق عملي Monitor Fabric Activity (Monitoring Hub)
64- تطبيق عملي Deployment Pipelines (CI/CD)
65- Semantic Models (Design + Security)
66- مشروع 14 Warehouse + Security/Monitoring/CI/CD
Temporal intelligence in Fabric (RTI) & Kafka
67- Real-Time Intelligence Overview
68- Eventstream Ingestion + Filtering
69- Eventhouse Concepts + KQL Basics
70- Real-Time Dashboards
71- Activator (Alerts/Actions)
72-practical application of RTI + Eventstream
73- تطبيق عملي Eventhouse + Dashboards
74-practical activator application
75- مشروع 15 Real-Time Flow + Dashboard + Alerts
Exam preparation from Microsoft DP-700 + vocational training and labor market qualification
76 - the strategy of success in the test from the first attempt + the Bank of questions for success in the test
17:4477 - biography and ATS system
10:5378- LinkedIn
10:0179 - strategy for success in the job interview
12:02Certificates in the camp
جزء اضافي اختياري Docker + GitHub + Hadoop
Docker Basics + Docker Compose (Capstone Repo Setup)
GitHub + README
Practical Docker application
Hadoop الجزء الاول
15:16Hadoop الجزء الثاني
19:19
Linux is an optional extra part
Basics of creating a Linux operating system
Directory Management + File Management
Shell Scripting +Bash Shell
Cron + Scheduling jobs
Practical application Scripting
A practical application for Scheduling jobs
Don't just watch.. Build your gallery with your own hands
During the camp, you will implement more than 15 application projects that simulate real labor market challenges, using
The latest technology.
The best way to learn is through the app

Capstone End-to-End Project
Build an Enterprise Platform is your biggest project to show in interviews! Build a complete data platform from scratch: it starts with real-time data withdrawal, goes through securing it in the Warehouse (Warehouse), and ends with Live control panels that support decision-making.

Fabric Medallion Architecture
Architect a Cloud Data Factory has designed a data production line with world-class specifications within Microsoft factory. Chaotic data will be transformed into organized layers (Bronze/Silver / Gold) using the power of Spark and Delta Tables, just as large companies work.

Mobile Scraper & Python
Master Web & Mobile Scraping لا تكتفِ ببيانات المواقع (Web Scraping)! You will learn how to hack the interfaces of mobile applications (Mobile APIs) and pull the hidden data inside them, in addition to pulling location data, to come up with exclusive data
More projects more than 15 projects
Appointments and training system
How to ensure that you reach professionalism Equation (4+1)
After registering at the camp, the team communicates with you to determine the appropriate dates for you, add you to the group and provide you with the trainee's bag
Upcoming group dates (live lectures):
The first group begins: 03/01/2026 — For a whole month (Weekly intensive session) + Daily follow-up + Recorded content + 3 months support After the camp is over.
The second group begins: 10/02/2026 — For a whole month (Weekly intensive session) + Daily follow-up + Recorded content + 3 months support After the camp is over.
The third group begins: 05/03/2026 — For a whole month (Weekly intensive session) + Daily follow-up + Recorded content + 3 months support After the camp is over.
Weekly task schedule
You start your week by receiving an accurate training plan that identifies the recorded lessons you need to watch and the tasks required, to ensure that you are not distracted
Self-directed and flexible learning
Watch high-quality recorded lectures at the time that suits your working or study conditions, with constant technical support in the student group to answer your questions
Practical application
Weekly tasks and a weekly project. Your code will be reviewed to ensure you understand correctly.
Live lectures
An intensive weekly session to discuss the challenges of the Week, correct common mistakes, simulate a real work environment, practical application, review and practical application
Continuous support guarantee (3 months additional support)
Continuous support after graduation from the Camp 3 months is free to ensure continuous support and professional support for you and answer all your inquiries in your career path
Your opinions make our day❤











Meet your coaches
Meet your coaches Your track coaches are not just experts who have years of experience, but have been through your experience. They pleasantly present the content for beginners, simplify complex topics, motivate you, push you towards excellence, do their best to help succeed.

M. Mustafa Nabih
An educational consultant at Athar Academy and a training expert for more than 7 years in data analysis and engineering. African runner-up in artificial intelligence competitions

M. Mahmoud al-bahnasawi
A data engineer is an expert in building advanced systems (Scalable Systems). It combines practical experience exceeding 5 years with academic research for a master's degree in big data.

Dr. Abdul Rahman Mahmoud
Specializes in data engineering and design of Big Data Solutions (Big Data). He has strong practical experience in implementing data infrastructures, and is a master researcher in the field of data.
Do you have any other questions
Why this particular camp is the most powerful choice in data engineering
Because it is designed with logic The real labor market And not "theoretical content". You will practice building complete (End-to-End) data systems using corporate tools:
Python + SQL + NoSQL + Hadoop + Spark + Kafka + Airflow + Microsoft Fabric + Azure + Linux
With practical step-by-step projects, evaluations, and ongoing support... to graduate with the actual ability to carry out the tasks of a Data Engineer within any company, and not just superficial knowledge.
Is there really an internship opportunity at IBM or just a marketing advantage
Yes، The opportunity to train exists as a competitive pathThe owners are nominated: Top results Based on clear performance (test + final project quality + commitment)
In this way, the opportunity becomes “deserved” and tied to your achievement, and not an uncontrolled public promise.
Is Athar Academy an accredited body Are the certificates we receive recognized
Yes, they are certified.
Camp certificates Accredited by the General Organization for technical and vocational training (TVTC) Issued by our partner Tharaa training center.
The camp is also Linked to the official Microsoft path Where certificates/accreditations are issued through Microsoft, with Special discount for trainees after the end of the camp On official tests.
And also In collaboration with CISCO Academy To issue Joint certification Among the outputs of the camp.
Does the camp actually qualify for employment
Yes, because the program includes Full functional qualification:
Prepare a resume professionally
Improving your LinkedIn profile
Technical review before applying and preparing for job interviews
Nomination of outstanding candidates for training and employment opportunities
This is what distinguishes it from any traditional course.
What certificates, certificates and qualifications for DP-700 will I get
Testimonials from AtharHub Academy To complete the program and projects in cooperation with Microsoft and Cisco
- A certificate from Technical and vocational training Corporation
Full qualification of the DP-700 professional certificate for success from the first attempt.
More than 20 official badges from Microsoft.
Documentation of training hours + nomination letter from Athar Academy.
Therefore, you combine Skill + accreditation + international test track.
What kind of projects will I come up with
You will build the most powerful projects for your career, including:
Mobile Scraping & Web Scraping & Cleaning
SQL Advanced Analytics With Python
NoSQL Analysis
Data Warehouse Design
Big Data Processing بـ Spark
Real-time Pipeline بـ Kafka + Airflow
Capstone Project: An Integrated Data System on Azure from scratch
These are real “job offer” projects, not small exercises.
Who is this camp for Is it suitable for beginners
Fits:
Beginners who want to enter the data field correctly.
Data analysts who want to expand into data engineering.
Software developers who want to switch to the path of Data Engineering.
Anyone who wants to specialize in big data and cloud tools.
The program starts from the basics, then progresses to advanced projects
How long is the camp Does it fit the staff schedule
Duration of the camp A month of 60 training hours between recorded and live content + 3 months of follow-up after the camp , With an organization that allows a balance between study, life and work.The presence of Recorded content It helps you make up any lesson and prove the information with the application.
- LevelAll Levels
- Duration60 ساعات
- Last UpdatedFebruary 12, 2026
Contact us
- Saudi Arabia (WhatsApp & calls) 0532616771
- E-mail address: info@atharhubs.com
All rights reserved to Athar academy © 2026