Devops Expert Training

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2 Hours

Course offered by Debajyoti Nath

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1. Who should take this course ?

DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.

This DevOps training course will be of benefit the following professional roles:

Software Developers
Technical Project Managers
Architects
Operations Support
Deployment engineers
IT managers
Development managers

Prerequisite knowledge of software development, preferably in Java, and the UNIX/Linux command line tools are essential for this course.

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2. What skills will you learn

After completing the DevOps training course you will achieve hands on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this DevopsÂ training course are:

An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:

o Source code management tools
o Build tools
o Test automation tools
o Containerization through Docker
o Configuration management tools
o Monitoring tools

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3. Why should I enroll for DEVOPS courseÂ

There is an increasing demand for professionals who understand both the development and operational side of the software development and deployment process, making this DevOps training course well-suited for those who wish to enhance their marketability for these highly prized roles. Devops jobs are highly paid and in great demand in a wide range of popular industries. The course is ideal for participants at all levels of experience.Â

About the Trainer

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2 Courses

Debajyoti Nath

PGP from IIMB & BTech CSE

13 Years of Experience

Machine Learning expert & AI SME having around 12.5 years experience in managing project delivery, planning, analysis, design & core program coding, installation, implementation & testing for large & complex systems in Banking & Retail Domain.
- 5 years experience in Machine Learning/AI models using R & PYTHON like Regression models (linear, Polynomial, SVR. Decision Tree, Random Forest), Classification models (Logistic Regression, K-NN, SVM), Clustering models, Association Rule Models (APRIORI, Eclat) ,Deep Learning models, Natural language processing(NLP) & Deep Learning models (Neural Networks).
- 5 years hands-on experience in Business Analytics analyzing both qualitative & quantitative data with data visualization and predictive analysis using SAS, R, PYTHON, SPSS, IBM Watson Analytics & Excel.
- 5 years hands-on experience in Data Visualization with TABLEAU, QLIKVIEW, IBM Watson Analytics.