Program profile · official sources
Machine Learning in Production in Python
The Machine Learning in Production in Python skill track is offered by DataCamp for aspiring data scientists and machine learning engineers. Access to this program requires a Premium subscription, which is priced at USD 35 per month at the regular price checked on 8 September 2026. The track consists of five courses and one bonus project, with a provider-listed duration of nineteen hours. The curriculum covers MLOps concepts, MLflow, machine learning monitoring, and data versioning using Data Version Control. The listed sequence starts with MLOps Concepts and ends with Introduction to Data Versioning with DVC. The provider states there are no prerequisites for this track. Upon finishing the five courses, learners earn a Statement of Accomplishment.
Facts checked 9 Sep 2026
- Price
- DataCamp Premium — USD 35/month for course content, billed monthly at the regular price
- Time
- 19 hours
Provider-listed track duration; not guaranteed elapsed completion time.
- Level
- Not listed
- Credential
- Statement of Accomplishment
Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review.
- Prerequisites
- There are no prerequisites for this track
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Price
- DataCamp Premium — USD 35/month for course content, billed monthly at the regular price. (see provider page)
Premium for Individuals. English public pages with USD explicitly selected; visitor country not stated. Monthly regular access is USD 35 with no monthly promotion shown. Annual regular USD 330 and promotional USD 165 are separate billed totals; no promotion expiry or additional account/geographic restriction is stated. Access price is not a guarantee of track completion. · Official pricing - Duration
- 19 hoursProvider-listed track duration; not guaranteed elapsed completion time.
- Format
- Track
- Credential
- Statement of Accomplishment
- Prerequisites
- There are no prerequisites for this track
Sources ↗
Course and activity access
Career and Skill tracks: Basic not included; Premium included.. Official source
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See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- MLOps Concepts
- Introduction to MLflow
- Monitoring Machine Learning Concepts
- Monitoring Machine Learning in Python
- Introduction to Data Versioning with DVC
Prerequisites: There are no prerequisites for this track
What courses are included in the Machine Learning in Production in Python track?
The program consists of five listed courses: MLOps Concepts, Introduction to MLflow, Monitoring Machine Learning Concepts, Monitoring Machine Learning in Python, and Introduction to Data Versioning with DVC. In addition to these five modules, there is a bonus project titled Predicting Temperature in London positioned after the MLflow course. Learners complete the five courses to earn the track's Statement of Accomplishment, but the bonus project is provided as an extra component.
How much does the Machine Learning in Production in Python track cost?
Accessing this track requires a DataCamp Premium subscription. The regular individual Premium price checked on 8 September 2026 is USD 35 per month. Because the track is part of a subscription service, the total cost depends on the subscription route and billing periods selected. The provider lists the track duration as 19 hours, but this does not guarantee an elapsed completion time, meaning the final cost may vary between users.
Are there any prerequisites for taking this track?
DataCamp explicitly states that there are no prerequisites for this track. However, the official track description indicates that the material is designed for aspiring data scientists and machine learning engineers who want to master the deployment and maintenance of machine learning models in Python. While no formal prior knowledge is required by the provider, the curriculum covers technical topics such as model lifecycle management, MLflow tracking, data and concept drift, and data versioning pipelines.
What credential is provided upon completion?
Learners who complete the five courses in the track earn a Statement of Accomplishment issued by DataCamp. This statement serves as evidence of track completion and is distinct from DataCamp's separate certifications. DataCamp suggests that learners can add this credential to their resume, CV, or LinkedIn profile, and share it on social media or during performance reviews to share their completion. The reviewed terms leave exam requirements, expiry, and renewal unstated.
What you actually do
What the credential is
- Credential type
- Statement of Accomplishment · www.datacamp.com / machine-learning-in-production
- Credential
- Statement of Accomplishment · www.datacamp.com / machine-learning-in-production
- Issuer
- DataCamp · www.datacamp.com / machine-learning-in-production
- Sharing
- Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review. · www.datacamp.com / machine-learning-in-production
Who should skip it
- Learners requiring a one-off course purchase: the sourced route is a Premium subscription, not a fixed completion fee. · Source
- Individuals requiring a separately assessed professional certification: this track awards a Statement of Accomplishment, with exam requirements unstated. · Source
- Learners seeking broad model-building training rather than a track focused on deployment, monitoring, and maintenance. · Source
Alternatives in the registry
Related by topic or level.
- MLOps Fundamentals — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; 14 hours.
- AWS Certified AI Practitioner (AIF-C01) — USD 100 (One initial exam attempt; check applicable regional pricing and taxes. Optional preparation and retakes are not included.); 90 minutes (exam only; not preparation time).
- AWS Certified Machine Learning Engineer - Associate — USD 150 (USD 150 for one MLA-C01 attempt; English testing ends September 28, 2026. Japanese, Korean and Simplified Chinese continue until MLA-C02 general availability. Preparation is separate.); 130 minutes for the exam assessment; not preparation time.
Change log
- : Registry admission from previously reviewed official evidence; individual fact dates are preserved. · Source