Program profile · official sources
MLOps Fundamentals
The DataCamp MLOps Fundamentals track is a conceptual program with 14 listed hours consisting of four courses focused on productionizing and monitoring machine learning models. The curriculum covers MLOps concepts, developing models for production, deployment and life cycling, and fully automated MLOps architectures. Access requires a DataCamp Premium subscription, priced at USD 35 per month at the regular price checked on 8 September 2026. The track does not teach a specific programming language, focusing instead on theoretical frameworks such as continuous integration, continuous deployment, and model registries. Throughout the track, learners study the complete lifecycle of a machine learning application. Upon finishing the four modules, learners receive a DataCamp Statement of Accomplishment.
Facts checked 9 Sep 2026
- Price
- DataCamp Premium — USD 35/month for course content, billed monthly at the regular price
- Time
- 14 hours
Provider-listed track duration; not a 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
- See program details
The prerequisites panel states no prerequisites. The FAQ states that prior knowledge of machine learning and Python is assumed and that this track is not suitable for beginners.
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
- 14 hoursProvider-listed track duration; not a guaranteed elapsed completion time.
- Format
- Track
- Credential
- Statement of Accomplishment
- Prerequisites
- The prerequisites panel states no prerequisites. The FAQ states that prior knowledge of machine learning and Python is assumed and that this track is not suitable for beginners.
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
- Developing Machine Learning Models for Production
- MLOps Deployment and Life Cycling
- Fully Automated MLOps
Prerequisites: The prerequisites panel states no prerequisites. The FAQ states that prior knowledge of machine learning and Python is assumed and that this track is not suitable for beginners.
What topics are covered in the DataCamp MLOps Fundamentals track?
The curriculum is structured into four conceptual courses that explore the entire lifecycle of a machine learning application. Learners study MLOps concepts to take models from local notebooks to production. Subsequent modules cover developing machine learning models for production, understanding the modern MLOps framework for deployment and life cycling, and exploring fully automated MLOps architectures. The program focuses on theories such as continuous integration, continuous deployment, continuous training, experiment tracking, model registries, and feature stores, rather than teaching specific programming languages.
What are the prerequisites for enrolling in this DataCamp track?
DataCamp's beginner FAQ assumes prior knowledge of machine learning and Python and says this track is not suitable for beginners. That is useful starting-point guidance for deciding whether its production-focused concepts fit your background. The four courses cover MLOps concepts, production models, deployment and life cycling, and automation. Although Python familiarity is assumed, the track itself is conceptual and does not teach a programming language. It is aimed at practitioners expanding into production machine learning software.
How much does the MLOps Fundamentals track cost?
Access to the MLOps Fundamentals track requires a DataCamp Premium subscription. As checked on 8 September 2026, the Premium plan is priced at USD 35 per month. This subscription model provides access to the platform's career and skill tracks for the duration of the active billing period. The stated price represents one month of access rather than a guaranteed total cost to finish the program. The official track duration is listed at 14 hours, not a guaranteed elapsed completion time; the final amount depends on the subscription route and billing periods selected.
What credential is awarded upon completing the track?
Upon successfully finishing all four courses in the MLOps Fundamentals track, learners receive a Statement of Accomplishment issued by DataCamp. This credential acknowledges completion of the 14-hour curriculum. The provider states that the statement can be shared on social media, added to a LinkedIn profile, or included in a resume or curriculum vitae. The reviewed terms leave exam requirements, expiry, and renewal unstated; that does not establish that no exam or expiry exists.
What you actually do
What the credential is
- Credential type
- Statement of Accomplishment · www.datacamp.com / mlops-fundamentals
- Credential
- Statement of Accomplishment · www.datacamp.com / mlops-fundamentals
- Issuer
- DataCamp · www.datacamp.com / mlops-fundamentals
- Sharing
- Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review. · www.datacamp.com / mlops-fundamentals
Who should skip it
Alternatives in the registry
Related by topic or level.
- Machine Learning in Production in Python — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; 19 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