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Dataops courses 12
Learn Dataops online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
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IBM
DataOps Methodology
4.760 ratingsDataOps is defined by Gartner as "a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. Much like DevOps, DataOps is not a rigid dogma, but a principles-based practice inf…
- Coursera
- 8 weeks, 1-2 hours per week
- Self-paced
- Paid · free trial
- Paid certificate
IBM
Python for Data Engineering Project
4.716 ratingsMaster essential data engineering skills in this module by collecting data using APIs and web scraping, extracting data from various file formats, and transforming it for analysis. Log data operations, share your Jupyter Notebook in Watson Studio, and engage in peer reviews.
- edX
- 1 weeks, 3 - 4 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
Amazon Web Services
Hands-on with AWS for IT Professionals
Get hands-on with AWS and build a solution that addresses a common data, operations, and architecture scenario.
- edX
- 2 weeks, 2 - 4 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
Duke University
DevOps, DataOps, MLOps
4.1235 ratingsLearn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers end-to-end solutions with Artificial Intelligence (AI) pair programming using technologies like GitHub Copilot to build solutions for machine learning (ML) and AI applications. This course is for…
- Coursera
- 5 weeks of study, 3-5 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
Pragmatic AI Labs
Building AI with Bedrock Agent
Master MLOps for generative AI with AWS Bedrock. Learn to build enterprise-ready AI applications using cutting-edge LLM technology. Gain hands-on experience with infrastructure as code, data engineering, and agent development while focusing on best practices for trustworthy and valuable AI solution…
- edX
- Self-paced
- Free to audit
- Paid certificate
- Beginner
Pragmatic AI Labs
DevOps, DataOps, MLOps
Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.
- edX
- 4 weeks, 3 - 6 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Beginner
Duke University
MLOps | Machine Learning Operations
Become a Machine Learning Engineer
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
SkillUp EdTech LLC
Enterprise Data Architecture and Operations
Build and demonstrate essential Enterprise Data Architecture skills through practical labs and projects. Learn data models, TOGAF, Zachman, ETL, DataOps, lifecycle management, governance, and more to advance your data career.
- edX
- 4 weeks, 2 - 4 hours per week
- Self-paced
- Free to audit
- Paid certificate
- Advanced
Pragmatic AI Labs
Rust DataOps: CI/CD and Containers for Data Pipelines
e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Master modern DataOps practices by building robust, automated CI/CD pipelines for data applications using Rus…
- Coursera
- 2 weeks of study, 3-5 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
Pragmatic AI Labs
Rust for Data Engineering
Master Rust for Data Engineering
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
Coursera
DataOps: Automation & Reliability
Build Automated Data Engineering Systems
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate












