DevOps engineer - course RUB 111,600. from SkillFactory, training 6 months, Date: August 13, 2023.
Miscellaneous / / November 30, 2023
Data school SkillFactory training Big Data, Data Science, Machine Learning, Data Engineering and AI
Training at the SkillFactory school is based on a lot of practice. The course programs have added only what will lead you to the goal of training: to gain skills and knowledge in order to successfully get a new job, or improve your skills.
SkillFactory is an online school that trains specialists in working with data and IT products.
We offer short-term and annual courses to train specialists from scratch and give a confident start to begin the journey in modern IT professions.
Our training programs were compiled with the participation of leading specialists from large Russian and foreign companies, such as NVIDIA, Amazon, Yandex, BON Games, Lamoda.
Areas of study:
—Data Science
— Machine Learning
— Big Data
— data analysis using Python
- Web development
— game design
— IT product management
Upon completion of the course, you receive a certificate, a portfolio of completed projects, experience in participating in hackathons and a roadmap for further development
Pros: Good podcasts, lots of practical exercises. Disadvantages: Be prepared to figure out many issues yourself. After completing this course I got the desired result; the course touches on a large number of practical tools on DevOps technologies. Good podcasts, not only on technical topics, but also cover other areas.
The course will give students the opportunity to systematize and expand their knowledge in 1C exchange technologies with various systems, as well as in the installation and maintenance of 1C systems.
You will learn how to set up CI/CD pipelines, use the Infrastructure as Code approach to configure servers and deploy infrastructure in the cloud. Find out what are the advantages of microservice architecture over traditional architecture. You will be able to work with Docker and Kubernetes.
You will master the DevOps methodology: combine development and operation processes, speed up the implementation and delivery of new functions to the user.