Program profile · official sources
Intro to MLOps
365 Data Science's 'Intro to MLOps' is a basic-level online course aimed at bridging the gap between developing machine learning models and deploying them in production environments. Instructed by Andrew Jones, the curriculum teaches the fundamentals of machine learning operations using the Databricks ecosystem. The course features 3 hours of headline duration, 4 hours of lesson content, 29 exercises, and 1 final exam. Earning the provider-issued course certificate requires completing the course and passing the course exam with a score of 60% or higher. The provider states the course awards 4 CPE credits, though state board acceptance varies. Required prerequisites include an intermediate understanding of Python and basic Git knowledge. Pricing observations in the United States on 3 October 2026 indicate platform subscription access rather than a 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
- 3 hours (provider headline; 4 hours of lessons listed separately)
- Level
- Basic
- Credential
- Provider-issued course certificate
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
- Prerequisites
- Required: Intermediate Understanding of Python, Cursory Understanding of Machine Learning, Basic Understanding of Git. Recommended: Knowledge of CI/CD helpful.
- 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
- ML Ops Fundamentals
- ML Ops in Azure Databricks
- Data Ops
- Model Ops
- Dev Ops
- LLMOps
- Course exam
Prerequisites: Required: Intermediate Understanding of Python, Cursory Understanding of Machine Learning, Basic Understanding of Git. Recommended: Knowledge of CI/CD helpful.
What you actually do
What the credential is
- Credential type
- Provider-issued course certificate · 365datascience.com / intro-to-mlops
- 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 passing. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
- Exam requirement
- Complete the course and pass the course exam; general certificate terms state 60% or above. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
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