DevOps Training & Internship

Oeson Learning
Greater London
3 months ago
Applications closed

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DevOps Engineer

UNPAID VOLUNTEER - Technology Officers (Data Scientists/DevOps/Full Stack)

UNPAID VOLUNTEER - Technology Officers (Data Scientists/DevOps/Full Stack)

▷ High Salary: Senior MLOps Engineer IRC261736

Machine Learning Ops Engineer

Senior Machine Learning Operations Specialist

About Us:

Oeson Learning is a leading Ed-Tech platform offering training programs in Data Science, Cyber Security, Data Engineering, Business Analytics, Digital Marketing, and more. Our programs are designed to equip participants with the skills needed to excel in today's competitive IT landscape.

Position Overview:

We are excited to offer a comprehensiveDevOps Training & Internshipprogram, ideal for aspiring DevOps engineers looking to gain hands-on experience in the field. This program is tailored to provide a balance of structured learning and practical experience, designed to help you develop essential DevOps skills, including automation, CI/CD pipelines, cloud infrastructure, and more.

Key Highlights:

  • Training: Learn DevOps principles and tools through live training sessions (3 days per week).
  • Internship: Work on real-world projects and tasks with flexible internship timings.
  • Duration: 3-month program combining both training and internship.
  • Support: Recorded sessions available for missed lectures.
  • Internship Type: Unpaid
  • Remote: Work from anywhere.

Who Should Apply:

  • Students or professionals looking to build a career in DevOps.
  • Individuals interested in gaining hands-on experience with industry tools and frameworks like Jenkins, Docker, Kubernetes, and AWS.
  • Those seeking flexible schedules alongside comprehensive training.

To Apply:

Visit our website atwww.oesonlearning.comto learn more about the program and submit your application through this job post.

Note: This is anunpaid internshipopportunity aimed at providing valuable experience and training to build your portfolio and skills in the DevOps field.

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