Program profile · official sources
Machine Learning Specialization
Machine Learning Specialization is a beginner-level, three-course program created by DeepLearning.AI and Stanford Online. It covers supervised learning, neural networks, decision trees, clustering, recommenders and reinforcement learning, using Python-based tools including NumPy, scikit-learn and TensorFlow. Learners should understand basic coding and high-school arithmetic and algebra. The publisher and Coursera give different workload and pacing estimates; none guarantees completion time. DeepLearning.AI Pro offers an assessment-based certificate route, while Coursera has separate payment and certificate conditions. This is not a no-code business overview. Check the selected platform's award requirements, including the publisher FAQ's inconsistent course count and its separate Coursera certificate-eligibility window, before paying.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Price
- DeepLearning.AI Pro — USD 50/month for course content, billed monthly at the regular price. (USD 30 with the displayed Save 40% promotion, checked 6 Sep 2026)(see provider page)
Public logged-out publisher pages identify USD; taxes may apply by location. Pro's monthly panel shows USD50/month reference and USD30/month current payable, labeled Save40%. The annual panel shows USD50/month reference, USD25/month current equivalent and USD300 billed annually, labeled Save50%; a regular annual charged total is not stated. No savings end date, account eligibility or geography is stated. These access payments do not establish a completion cost. · Official pricing - Duration
- Publisher content: 94h58m. Publisher pacing: about 10 weeks at 5 hours/weekCoursera pacing: 2 months at 10 hours/week, with course estimates 33/34/28 hours. Different provider estimates, not a completion guarantee.
- Level
- Beginner
- Format
- Online, self-paced three-course specialization with video lessons, code examples and graded assignments.
- Credential
- Course completion certificate
- Prerequisites
- Basic coding knowledge (for loops, functions and if/else statements) plus high-school arithmetic and algebra. Additional math is explained along the way; no heavy math background or deep coding experience is required.
Sources ↗
- Price — https://www.deeplearning.ai/membership
- Duration — https://www.deeplearning.ai/courses/machine-learning-specialization/
- Official program page — https://www.deeplearning.ai/courses/machine-learning-specialization/
- Provider subscription terms — https://www.deeplearning.ai/membership
- Credential details — https://www.coursera.org/specializations/machine-learning-introduction
Course and activity access
DeepLearning.AI Pro monthly gives the publisher assessment/certificate route. Pro is the internal catalog plan key; monthly is the selected billing scope, not an annual payment.. Official source Official source
What’s covered
- linear regression
- logistic regression
- neural networks
- TensorFlow
- decision trees and ensembles
- machine-learning development best practices
- clustering
- anomaly detection
- recommender systems
- deep reinforcement learning
Prerequisites: Basic coding knowledge (for loops, functions and if/else statements) plus high-school arithmetic and algebra. Additional math is explained along the way; no heavy math background or deep coding experience is required.
Do I need coding experience for Machine Learning Specialization?
The specialization is labeled Beginner, but that does not mean no preparation is needed. Its prerequisite FAQ asks for basic coding knowledge, including loops, functions and conditional statements, plus high-school arithmetic and algebra. Additional mathematics is explained as needed. The curriculum uses Python-based machine-learning tools and programming assignments. Consider it for a technical introduction to building and evaluating models; it is not a substitute for a non-coding overview of AI use cases for business.
What does access to Machine Learning Specialization cost?
For the publisher route, DeepLearning.AI Pro shows a regular or reference price of USD 50 per month and a current monthly payable price of USD 30, labeled Save 40%. The annual alternative is USD 300 paid upfront, displayed as USD 25 per month with Save 50%. The reviewed pages do not state savings expiry or eligibility conditions, and taxes may apply. Coursera Plus inclusion and a Coursera program price were not established; do not transfer the publisher's pricing to that route.
How long does the specialization take and what certificate is available?
The publisher lists 94 hours and 58 minutes of content, while its pacing FAQ totals about ten weeks at five hours weekly. Coursera separately estimates two months at ten hours weekly. These figures are provider estimates on different bases, not a guaranteed schedule. Pro certificates depend on required assessments. The publisher's certificate FAQ refers to four courses despite the three-course curriculum; confirm that discrepancy before purchase. Its 180-day Coursera certificate-eligibility window is not stated as expiry of an already-issued credential.
What you actually do
- Introduction to Machine Learning — Course 1: Supervised Machine Learning: Regression and Classification; provider-listed week 1 in this course. The full specialization has three courses and ten listed week-level units. · Source
- Regression with multiple input variables — Course 1: Supervised Machine Learning: Regression and Classification; provider-listed week 2 in this course. The full specialization has three courses and ten listed week-level units. · Source
- Classification — Course 1: Supervised Machine Learning: Regression and Classification; provider-listed week 3 in this course. The full specialization has three courses and ten listed week-level units. · Source
- Neural Networks — Course 2: Advanced Learning Algorithms; provider-listed week 1 in this course. The full specialization has three courses and ten listed week-level units. · Source
- Neural network training — Course 2: Advanced Learning Algorithms; provider-listed week 2 in this course. The full specialization has three courses and ten listed week-level units. · Source
- Advice for applying machine learning — Course 2: Advanced Learning Algorithms; provider-listed week 3 in this course. The full specialization has three courses and ten listed week-level units. · Source
- Decision trees — Course 2: Advanced Learning Algorithms; provider-listed week 4 in this course. The full specialization has three courses and ten listed week-level units. · Source
- Unsupervised learning — Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning; provider-listed week 1 in this course. The full specialization has three courses and ten listed week-level units. · Source
- Recommender systems — Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning; provider-listed week 2 in this course. The full specialization has three courses and ten listed week-level units. · Source
- Reinforcement learning — Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning; provider-listed week 3 in this course. The full specialization has three courses and ten listed week-level units. · Source
What the credential is
- Credential type
- Course completion certificate · Source
- Credential
- Machine Learning Specialization completion certificate · Source Source
- Issuer
- DeepLearning.AI · Source Source
- Sharing
- The Coursera route offers a shareable career certificate for LinkedIn, resume/CV and social media; publisher Pro award terms are separate. · Source Source
- Credential scope
- Publisher Pro members completing required assessments receive a certificate; free auditors do not. Paid Coursera course certificates require programming assignments, and the publisher states a 180-day Coursera certificate-eligibility window requiring repurchase afterward. This is not post-issue expiry. The publisher FAQ says complete all 4 courses although the curriculum consistently lists 3; confirm that source discrepancy. No external certification exam, post-issue expiry or renewal is stated. · Source Source
- Exam required
- provider does not state · Source
- Credential expires
- provider does not state · Source
- Renewal
- provider does not state · Source
Total cost — access scenario
Conditional regular-price estimate: If you purchase 1 monthly billing period of Pro for course content, USD 50 × 1 = USD 50.
USD 50/month, billed monthly. Official pricing
Promotional note: USD 30 with the displayed Save 40% promotion, checked 6 Sep 2026. Not used in this estimate.
Public logged-out publisher pages identify USD; taxes may apply by location. Pro's monthly panel shows USD50/month reference and USD30/month current payable, labeled Save40%. The annual panel shows USD50/month reference, USD25/month current equivalent and USD300 billed annually, labeled Save50%; a regular annual charged total is not stated. No savings end date, account eligibility or geography is stated. These access payments do not establish a completion cost.
This is an access-payment scenario, not a guarantee of finishing within that time. Course hours do not determine billing periods. Activity-plan upgrades, taxes and future renewals are not included or assumed.
Alternatives in the registry
Related by topic or level.
- AI Fundamentals — Check official price; Approximately 9 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).
- Introduction to Generative AI — Check official price; 45 minutes.
Change log
- : First recorded source review; three courses and ten units, platform-specific credential terms and distinct workload estimates. Governing membership reconciliation separates regular USD50/month from discounted monthly/annual payments. · Source