Devops for Data Science

BY
Board Infinity

Get familiar with the concepts of DevOps for data science by joining the online course by Board Infinity.

Lavel

Beginner

Mode

Online

Duration

20 Hours

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

DevOps for Data Science Course is a beginner level programme provided by Board Infinity that will equip the learners with an in-depth understanding of the tools of DevOps used in data science. The programme, made of 4 modules, will render the students with a certificate after the course enabling them to find a better career opportunity.   DevOps for Data Science Online Course will discuss the deep learning model deployment with Docker and Kubernetes, API development, models of deep learning etc.

DevOps for Data Science Programme, offered by Board Infinity, will introduce the students to the aspects of DevOps with the help of live classes, on-demand videos, case studies, assignments, and projects. The students will be provided with unlimited access to the course materials with one-time enrolment.

The highlights

  • Online course
  • Offered by Board Infinity
  • Lifetime Access
  • Duration of 20 Hours
  • Beginners Level Course
  • Live Online Mode
  • Certification of Completion

Program offerings

  • Certificate of completion
  • Best leaders and coaches
  • Lifetime access
  • Live classes
  • On-demand videos
  • Case studies
  • Assignments
  • Projects

Course and certificate fees

certificate availability

Yes

certificate providing authority

Board Infinity

What you will learn

Data science knowledge

After the completion of the DevOps for Data Science Online Programme, the candidates will be able to explore Docker, Kubernetes, Neural Networks etc in great detail. Plus, the students will learn API and will build the capacity to use tools like Docker, and Kubernetes for integration functions.

The syllabus

Introduction to Neural Networks

Introduction to API & Deep Learning Libraries

  • Tensorflow
  • Pytorch After this, you will build a model by using the listed libraries.

Introduction to Docker & Kubernetes

Deploying the model in cloud

Instructors

Mr Vedant Dwivedi

Mr Vedant Dwivedi
Deputy Manager
Reliance Jio Infocom...

Mr Shreyas S

Mr Shreyas S
Senior Associate
Freelancer

Mr Dhiman Mandal

Mr Dhiman Mandal
Data Scientist
Ericsson

B.E /B.Tech, M.E /M.Tech.

Mr Rajanikant Ghate

Mr Rajanikant Ghate
Data Scientist
Freelancer

B.E /B.Tech, M.E /M.Tech.

Mr Sourav Bhattacharyya

Mr Sourav Bhattacharyya
Data Scientist
Wipro Limited

B.E /B.Tech, M.E /M.Tech.

Mr Bharath Kumar Bolla

Mr Bharath Kumar Bolla
Analytics Consultant
Verizon

Mr Punit Shah

Mr Punit Shah
Data Science Lead
Freelancer

Other Bachelors, Other Masters

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