Free online
Learn Dataops online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
IBM
Master 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.
Amazon Web Services
Get hands-on with AWS and build a solution that addresses a common data, operations, and architecture scenario.
IBM
DataOps 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…
Duke University
Learn 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…
MIT Professional Education
We are in a world where the new technologies of Cloud, IoT, AI/Machine Learning, and Cloud Data-Stacks are re-architecting how organizations operate. DevOps and DataOps driven organizations move thousands of times faster than others. To master this “Tsunami” of data we need to leverage new tools an…
Duke University
Become a Machine Learning Engineer
Pragmatic AI Labs
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…
Pragmatic AI Labs
Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.
SkillUp EdTech LLC
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.
Coursera
Build Automated Data Engineering Systems
Pragmatic AI Labs
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…
