Program profile · official sources
Fully Automated MLOps
365 Data Science's 'Fully Automated MLOps' is an intermediate-level online course designed to teach learners how to build and manage robust machine learning pipelines. Instructed by Stefan Micic, the 1-hour provider headline duration covers MLOps principles, automated data ingestion, deployment strategies, and continuous model monitoring. Earning the provider-issued course certificate requires both completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 2.5 CPE credits; however, acceptance depends on individual state boards. Required prerequisites include Python 3.8 or later, MLflow, Docker, AWS access, and basic MLOps understanding, while introductory Python machine learning and AWS knowledge are recommended advanced preparation. Pricing observations in the United States on 3 October 2026 indicate platform subscription access rather than a fixed per-course fee.
Facts checked 3 Oct 2026
- Price
- See pricing
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 pricing page displays a Free tier at $0/month and a Self-study price of $29/month billed annually, shown against a $36/month reference price. The FAQ separately states $29/month full access. A Lifetime 'Pay once' plan lacks a numeric amount. USD is confirmed in the page HTML metadata. These are platform subscription quotes, not a fixed course-completion total. Certificates are included with the Self-study learning plan.
- Time
- 1 hour (provider headline; module and exam timings listed separately)
- Level
- Intermediate
- Credential
- Provider-issued course certificate
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
- Prerequisites
- Required: Python (version 3.8 or later), MLflow, Docker, and a code editor or IDE (e.g., VS Code or Jupyter Notebook), Access to aws.amazon.com and a free AWS account, Basic understanding of MlOps. Recommended advanced preparation: Machine Learning in Python, Introduction to AWS Cloud.
- Format
- Online Course
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Introduction
- Introduction to Fully Automated MLOps
- Key Components of an Automated MLOps Pipeline
- Advanced Components of MLOps pipeline
- Tools and Technologies for Fully Automated MLOps
- Case Studies and Real-World Applications
- Conclusion
- Course exam
Prerequisites: Required: Python (version 3.8 or later), MLflow, Docker, and a code editor or IDE (e.g., VS Code or Jupyter Notebook), Access to aws.amazon.com and a free AWS account, Basic understanding of MlOps. Recommended advanced preparation: Machine Learning in Python, Introduction to AWS Cloud.
What you actually do
- Introduction : 7 min; Section 1 · Source
- Introduction to Fully Automated MLOps : 11 min; Section 2 · Source
- Key Components of an Automated MLOps Pipeline : 24 min; Section 3 · Source
- Advanced Components of MLOps pipeline : 15 min; Section 4 · Source
- Tools and Technologies for Fully Automated MLOps : 13 min; Section 5 · Source
- Case Studies and Real-World Applications : 13 min; Section 6 · Source
- Conclusion : 5 min; Section 7 · Source
- Course exam : 60 min; Section 8 · Source
What the credential is
- Credential type
- Provider-issued course certificate · 365datascience.com / fully-automated-ml-ops
- Credential
- Course Certificate · 365datascience.com / certificates
- Issuer
- 365 Data Science · 365datascience.com / certificates
- Sharing
- Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
- Exam requirement
- Requires both course completion and passing the associated course exam with a score of 60% or above. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
Who should skip it
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