Duration
The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
Course fee
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Global Certificate Course in DevOps Tools Data Engineering
Join our comprehensive program designed for aspiring data engineers and DevOps professionals looking to enhance their skills in tools and technologies essential for managing data pipelines efficiently. Learn to deploy, maintain, and monitor data systems using popular DevOps tools while gaining hands-on experience in data engineering best practices. Acquire the expertise to drive continuous integration and deployment processes, ensuring scalability and reliability of data systems. Elevate your career in the fast-growing field of DevOps data engineering with this specialized course.
Start your learning journey today!
Data Engineering enthusiasts looking to enhance their skills should consider our Global Certificate Course in DevOps Tools Data Engineering. This comprehensive program offers hands-on projects, practical skills, and in-depth knowledge of key DevOps tools essential for data engineering roles. Students will benefit from self-paced learning, interactive quizzes, and real-world case studies, ensuring a well-rounded understanding of data engineering concepts. By enrolling in this course, individuals can improve their machine learning training, hone their data analysis skills, and gain a competitive edge in the fast-evolving field of data engineering. Start your journey to becoming a proficient data engineer today.The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
The Global Certificate Course in DevOps Tools Data Engineering is a comprehensive program designed to equip individuals with the necessary skills to excel in the field of data engineering using DevOps tools. Participants will learn how to master key tools such as Git, Jenkins, Docker, and Kubernetes to streamline the data engineering process.
The learning outcomes of this course include proficiency in using DevOps tools for data engineering tasks, understanding best practices for managing data pipelines, and optimizing data workflows. Participants will also gain hands-on experience in building, testing, and deploying data pipelines using industry-standard tools.
This course is self-paced and can be completed in 12 weeks, allowing participants to learn at their own convenience. The flexible nature of the program makes it ideal for working professionals looking to upskill in data engineering and DevOps tools.
Aligned with current trends in technology, this course is designed to provide participants with the latest skills and knowledge needed to succeed in the rapidly evolving field of data engineering. By mastering DevOps tools, participants will be well-equipped to meet the demands of modern tech practices and excel in their careers.
| Year | Percentage of UK businesses facing cybersecurity threats |
|---|---|
| 2018 | 87% |
| 2019 | 92% |
| 2020 | 95% |
A DevOps Engineer is responsible for collaborating with software developers, system operators, and other IT staff members to manage code releases. They implement automation tools for continuous integration and deployment.
A Data Engineer designs and maintains data pipelines, warehouses, and architectures that allow for the extraction, transformation, loading, and storage of data. They work closely with data scientists and analysts.
A Cloud Engineer specializes in designing, planning, and managing cloud environments. They ensure the scalability, security, and availability of cloud infrastructure for organizations.