Program profile · official sources
Machine Learning in Production
The Machine Learning in Production course by DeepLearning.AI on Coursera is an intermediate-level program designed for early-career practitioners and software engineers. Instructed by Andrew Ng, the curriculum teaches how to conceptualize integrated systems that continuously operate in production and solve challenges unique to production environments. Students learn to build data pipelines, establish model baselines, address concept drift, and deploy machine learning applications. The self-paced online program has a provider estimate of 3 weeks at 5 hours a week to complete, while the headline states 1 week at 10 hours a week. Earning the shareable provider-issued course certificate requires paying for the course and completing 6 assignments. As captured on 2 October 2026, the course is taught in English.
Facts checked 2 Oct 2026
- Price
- See pricing
No specific total price is stated. The FAQ describes purchasing the course or subscribing; financial aid is available. No numeric course-completion total or ISO currency is established from the saved page.
Official source · Checked
- Time
- 1 week at 10 hours a week
- Level
- Intermediate level
- Credential
- Provider-issued course certificate
Add to your LinkedIn profile
- Prerequisites
- Required: Working knowledge of AI and deep learning, intermediate Python skills, and experience with a deep learning framework (TensorFlow, Keras, or PyTorch). Recommended: Completion of the updated Deep Learning Specialization.
- Format
- Online, flexible schedule, learn at your own pace
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
- Week 1: Overview of the ML Lifecycle and Deployment
- Week 2: Modeling Challenges and Strategies
- Week 3: Data Definition and Baseline
Prerequisites: Required: Working knowledge of AI and deep learning, intermediate Python skills, and experience with a deep learning framework (TensorFlow, Keras, or PyTorch). Recommended: Completion of the updated Deep Learning Specialization.
What you actually do
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / introduction-to-machine-learning-in-production
- Credential
- Shareable certificate · www.coursera.org / introduction-to-machine-learning-in-production
- Issuer
- DeepLearning.AI · www.coursera.org / introduction-to-machine-learning-in-production
- Sharing
- Add to your LinkedIn profile · www.coursera.org / introduction-to-machine-learning-in-production
- Exam requirement
- The page describes course completion and completing assignments to earn a certificate; it does not explicitly establish whether an exam is required. · www.coursera.org / introduction-to-machine-learning-in-production
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