Data Engineering & Science: Packaging Python Projects & deployment tools either on premise or on Cloud (Amazon AWS)
Àpd 35 € /h
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!
Contact me if you want to have more information about the course!
Lieu
Cours au domicile de l'élève :
- Autour de Bruxelles, Belgique
En ligne depuis Belgique
Présentation
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.
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.
- Specialized in Big Data Management, Geographical Data Management, Databases, DevOps automation tools.
Expérience / 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,
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,
Age
Adultes (18-64 ans)
Niveau du Cours
Débutant
Intermédiaire
Avancé
Durée
60 minutes
Enseigné en
anglais
néerlandais
arabe
Compétences
Commentaires
Disponibilité semaine type
(GMT -04:00)
New York
Cours par webcam
Cours à domicile
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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
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
Voir plus
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