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    Mohamed
    Trusted teacher
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    Trusted teacher
    from25.00EUR/ h

    Data Engineering & Science: Packaging Python Projects & deployment tools either on premise or on Cloud (Amazon AWS)

    In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments.

    Contact me if you want to have more information about the course!

    Location

    At student's location: Around Brussels, Belgium
    Online via webcam

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    General info

    Age:
    Adults (18-64 years old)
    Student level:
    Beginner
    Intermediate
    Advanced
    Duration:
    60 minutes
    The class is taught in:English, Dutch, Arabic

    About Me

    I am a dedicated software engineer with a Master's and Ph.D. in Computer Science from ULB University. With years of experience in both academia and industry, I specialize in helping students understand complex concepts in programming, algorithms, and software development. My teaching approach is student-centered, fostering critical thinking and problem-solving skills tailored to individual learning styles.

    Whether you are a beginner looking to write your first line of code or an advanced learner diving into data structures, machine learning, or system design, I am here to guide you every step of the way.

    Education

    - PhD in computer Science from the Université Libre de Bruxelles (ULB), Brussels, Belgium
    - Specialized in Big Data Management, Geographical Data Management, Databases, DevOps automation tools.

    Experience / Qualifications

    Database: SQL Server, PostgreSQL, MySQL
    Data Science and Data Engineering tools: Python, GenAI, Data Lake, DBT, Airflow
    Big Data tools: Hadoop, Spark
    Cloud: AWS and Azure Services
    DevOps tools: CI/CD pipelines, GitHub, Docker, Kubernetes,
    This course provides a hands-on approach to mastering Apache Airflow, a powerful open-source workflow automation tool widely used in ETL (Extract, Transform, Load) processes. You will learn how to build, schedule, monitor, and optimize data pipelines, ensuring data reliability and efficiency in production environments. Through real-world examples and projects, you will gain the skills required to become a proficient Data Engineer capable of handling complex workflows in modern data ecosystems. This course will allow you to build multiple real-world ETL workflows using Apache Airflow. Let me know if you would like additional information! 🚀
    Whether you are a beginner writing your first lines of code or an advanced learner tackling complex concepts, I tailor lessons to suit your needs. Together, we will focus on practical skills, problem-solving, and real-world projects to make programming intuitive and rewarding. Let's work together to turn your goals into achievements!
    Dive into the world of SQL databases with this comprehensive course designed for learners of all levels. Whether you are new to databases or seeking to expand your expertise to advanced concepts like distributed systems, this course has you covered. What You can Learn: - Fundamentals of relational databases and SQL syntax. - Designing robust databases using normalization and entity relationships. - Writing complex queries, joins, and subqueries. - Database optimization techniques for performance tuning. - Implementing stored procedures, triggers, and views. - Managing transactions and ensuring data integrity. - Understanding and working with distributed database systems like Distributed PostgreSQL
    Dive into the world of Python, one of the most powerful programming languages for Data Engineers and Data scientists. With hands-on projects, real-world examples, and engaging lessons, you'll not only learn the fundamentals of Python but also gain the confidence to tackle complex programming challenges.

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    Availability of a typical week

    (GMT -05:00) New York
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    10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
    11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
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    from 25€Online via webcam
    from 29€At student's home

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Online reputation

    • Instructor since December 2024
    • Phone number verified
    • Google connected

    Availability of a typical week

    (GMT -05:00) New York
    MonTueWedThuFriSatSun
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    10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
    11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
    15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
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    from 25€Online via webcam
    from 29€At student's home

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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