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Course Highlights

  • NetApp is proud to have developed this course and is presenting to you in partnership with NASSCOM through its FutureSkills Prime platform.
  • FutureSkills Prime is India’s Technology Skilling Hub, aimed at making India a Digital Talent Nation.
  • NetApp is offering this expert-delivered self-study version of its popular 3-Day Data Intelligence Workshop.
  • Our goal is to provide opportunities for India’s students to acquire in-demand skills such as AI/ML that are highly valued by employers.
  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in Fueling Data Intelligence with Modern DataOps course?

    Course Objectives

    By the end of this course, learners should be able to:

  • Describe how to administer a Kubernetes cluster
  • Explore creating and deploying cloud native workload with Kubernetes
  • Discuss how to manage persistent enterprise storage for cloud native workloads
  • Describe how to model inferencing workloads with Jupyter notebooks
  • Use Kubeflow pipelines to scale out and scale up model inferencing workloads
  • Examine common data scientists’ challenges and solutions - unified data platform, dataset-to-model traceability, repeatability using cloning
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Reasons to enrol

Why should you take Fueling Data Intelligence with Modern DataOps course?

  • Any undergraduate (UG), postgraduate (PG), or working professional in India, who is passionate about building a career in Data Science (especially focused on AI/ML applications) would benefit from completing this course.
  • It will help the learner become familiar with MLOps methodology used at enterprise level and thereby improving the learner's ability to participate and contribute on such AI/ML projects.
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Ideal Participants

Who should take Fueling Data Intelligence with Modern DataOps course?

Learners who wish to study this course should possess basic knowledge of the following data science topics:

  • Data Science Fundamentals
  • Python Programming
  • Kubernetes
  • Jupyter
  • Cloud Computing Fundamentals
  • Data Storage, Cleansing, and Validation Techniques
  • Visualising and Reporting Results of Data Analysis
  • Characteristics of AI/ML Algorithms
  • Supervised and Unsupervised Learning
  • This course can be taken by UG or PG students pursuing Cloud Computing related specialisation. Working professional with interest in this area can also benefit by completing this course.
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Curriculum

Curriculum

  • Through a comprehensive learning path of academic studies, extended self-study, and accreditation the learner can become eligible to attain corporate internships:
    • Complete UG/PG College Cloud Computing and AI/ML Topics (as per student’s college syllabus)
    • Complete Recommended Courses on NASSCOM FutureSkills Prime Portal
    • Complete this Fueling Data Intelligence with Modern DataOps Course
    • Pass the corresponding NetApp Data Intelligence Accreditation Exam
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skills and tools

Tools you will learn in Fueling Data Intelligence with Modern DataOps course?

  • K8s
  • Weave Net
  • Docker/Container
  • NetApp ONTAP
  • Astra Trident
  • Kubeflow
  • NetApp DataOps Toolkit
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