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.
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Skill Type
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Course Duration
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Domain
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GOI Incentive applicable
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Course Category
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Nasscom Assessment
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Placement Assistance
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Certificate Earned
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Content Alignment Type
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NOS Details
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Mode of Delivery
Course Details
What will you learn in Fueling Data Intelligence with Modern DataOps course?
- 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
Course Objectives
By the end of this course, learners should be able to:
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.
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.
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
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