Commercial disclosure: Academies.ai has an affiliate agreement with 365 Data Science. If you enroll through links on this page we may earn a commission at no extra cost to you. This does not affect our assessment; rankings cannot be purchased.
Program profile · official sources
Introduction to MLflow
365 Data Science's 'Introduction to MLflow' is an advanced-level online course instructed by Stefan Micic, designed for data scientists, ML engineers, and developers to learn end-to-end machine learning lifecycle management. The 1-hour provider headline duration covers tracking experiments, packaging reproducible projects, deploying models locally, and integrating MLflow into automated pipelines. Earning the provider-issued course certificate requires completing the course and passing the associated course exam with a score of 60% or higher. The provider lists 4 CPE credits; however, acceptance depends on individual state boards. A basic understanding of Python is required. Pricing observations in the United States on 15 October 2026 indicate platform subscription access rather than a fixed per-course fee.
Facts checked 15 Oct 2026
- Price
- See pricing
Price observation recorded 15 Oct 2026: As shown in the United States on 15 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
- Provider link
See price and enroll at 365 Data Science (official site) ↗
We may earn a commission. It does not change our facts.
- Time
- 1 hour (provider headline). Lessons (2 hours) are listed separately.
- Level
- Advanced
- 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: Basic Understanding of Python, Enthusiasm for Learning. Advanced preparation: None.
- Format
- Online Course
Sources ↗
- Duration : https://365datascience.com/courses/introduction-to-mlflow/
- Official program page : https://365datascience.com/courses/introduction-to-mlflow/
- Credential details : https://365datascience.com/certificates/
- Cost terms : https://365datascience.com/pricing/
We may earn a commission. It does not change our facts.
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
- Welcome to the 365 Course Builder
- MLOps Fundamentals and MLflow Overview
- Getting Started with MLflow
- Experiment Tracking in Depth
- MLflow Projects - Packaging for Reproducibility
- MLflow Models - Packaging and Deploying Models
- MLflow Model Registry - Managing the Model Lifecycle
- Integrating MLflow into Automated MLOps Pipelines
- Best Practices and Tips for MLflow in MLOps
- Conclusion and Next Steps
- Course exam
Prerequisites: Required: Basic Understanding of Python, Enthusiasm for Learning. Advanced preparation: None.
What you actually do
- Welcome to the 365 Course Builder : 3 min; Section 1 · Source
- MLOps Fundamentals and MLflow Overview : 13 min; Section 2 · Source
- Getting Started with MLflow : 12 min; Section 3 · Source
- Experiment Tracking in Depth : 16 min; Section 4 · Source
- MLflow Projects - Packaging for Reproducibility : 11 min; Section 5 · Source
- MLflow Models - Packaging and Deploying Models : 11 min; Section 6 · Source
- MLflow Model Registry - Managing the Model Lifecycle : 20 min; Section 7 · Source
- Integrating MLflow into Automated MLOps Pipelines : 8 min; Section 8 · Source
- Best Practices and Tips for MLflow in MLOps : 12 min; Section 9 · Source
- Conclusion and Next Steps : 2 min; Section 10 · Source
- Course exam : 30 min; Section 11 · Source
We may earn a commission. It does not change our facts.
What the credential is
- Credential type
- Provider-issued course certificate · 365datascience.com / introduction-to-mlflow
- 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
We may earn a commission. It does not change our facts.
Alternatives in the registry
Related by topic or level.
- AI Applications for Business Success : Check official price; 2 hours (provider headline; module and exam timings listed separately) (duration checked 11 October 2026).
- Convolutional Neural Networks with TensorFlow in Python : Check official price; 4 hours (provider headline; module and exam timings listed separately) (duration checked 30 September 2026).
- Deep Learning with Pytorch : Check official price; 2 hours (provider headline; module and exam timings listed separately) (duration checked 30 September 2026).
Change log
- : Initial recorded review of official program details. · Source
- : Publishing-day recheck of official US sources: course page and certificate policy unchanged; Self-study price observation updated to the 15 October 2026 display: $29/month billed annually. · Source
We may earn a commission. It does not change our facts.
See price and enroll at 365 Data Science (official site) ↗
We may earn a commission. It does not change our facts.