108 Courses and Certifications

Stanford Courses & Certifications 2026

  • Ownership: Private
  • Estd. Year: 1885
  • Total Faculty: 4633
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Cryptography II

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Certificate

Cryptography II

2 Weeks
Free
Databases Relational Databases and SQL

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Certificate

Databases: Relational Databases and SQL

2 Weeks
Beginner
Free
Databases Semistructured Data

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Certificate

Databases Semistructured Data

2 Weeks
Beginner
Free
Databases Modeling and Theory

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Certificate

Databases: Modeling and Theory

2 Weeks
Beginner
Free
Databases Advanced Topics in SQL

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Certificate

Databases Advanced Topics in SQL

2 Weeks
Beginner
Free
Databases On Line Analytical Processing and Recursion

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Certificate

Databases: OLAP and Recursion

2 Weeks
Beginner
Free
Stanfords Short Course on Breastfeeding

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Certificate

Stanford's Short Course on Breastfeeding

1 Weeks
Beginner
Virtual Care with Presence

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Certificate

Virtual Care with Presence

1 Weeks
Expert
Free
How to Taper Patients Off of Chronic Opioid Therapy

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Certificate

How to Taper Patients Off of Chronic Opioid Therapy

1 Weeks
Expert
Free
SafetyQuest Level One QI Basics

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Certificate

SafetyQuest Level One QI Basics

1 Weeks
Expert
Free
SafetyQuest Level Three Implementing QI

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Certificate

SafetyQuest Level Three Implementing QI

1 Weeks
Expert
Free
SafetyQuest Level Two Moving Beyond QI Basics

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Certificate

SafetyQuest Level Two Moving Beyond QI Basics

1 Weeks
Expert
Free
Health Across the Gender Spectrum

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Certificate

Health Across the Gender Spectrum

1 Weeks
Expert
Free
Unconscious Bias in Medicine

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Certificate

Unconscious Bias in Medicine

1 Weeks
Expert
Free
Greedy Algorithms Minimum Spanning Trees and Dynamic Programming

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Certificate

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming is an online programme provided by Stanford University that will help the learners to have a solid understanding of greedy algorithms and dynamic programming.  Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming Certification Syllabus will walk the student through many concepts including scheduling, minimum spanning trees, knapsack, sequence alignment, and the like. 

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming Certification Course, offered by Coursera, is an intermediate course that is the third in the four courses of Algorithms Specialization. Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming Certification by Coursera is structured in a fashion in which the students can decide the deadline on their own and can be completed within about 1 week. 

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1 Weeks
Intermediate
1,699
Skills Covered:
Programming skills Knowledge of Algorithms
Shortest Paths Revisited NP Complete Problems and What To Do About Them

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Certificate

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them is an online programme designed for intermediate-level students. The online course administered by Stanford University will give the students a deep dive into the shortest paths and related aspects. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification Syllabus, prepared by Tim Roughgarden, the Professor of Computer Science, will walk the candidates through various topics of algorithms such asBellman-Ford, Floyd-Warshall, Johnson, etc. 

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification Course, administered by Coursera, is a flexibly developed course and the students can set their deadlines as per their comfort. The students will also be given subtitles in multiple languages. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification by Coursera is the fourth and the last course in the Algorithms Specialization. 

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1 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of Algorithms
Graph Search, Shortest Paths and Data Structures

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Certificate

Graph Search, Shortest Paths, and Data Structures

Graph Search, Shortest Paths, and Data Structures is an online certification course offered by Stanford University intended for the pool of intermediate-level students. The course will expose the candidates to the data structures, graph primitives, graph searches, and their applications. Graph Search, Shortest Paths, and Data Structures Certification Syllabus, developed by Tim Roughgarden, the Professor of Computer Science, will shed light on the heaps, hash tables, balanced search trees, and bloom filters, and the like. 

The Graph Search, Shortest Paths, and Data Structures Certification Course, administered by  Coursera, will also provide the students with a sheer insight into breadth-first and depth-first search, shortest paths, connectivity, and their applications. Graph Search, Shortest Paths, and Data Structures Certification by Coursera, the second course in four programmes of the Algorithms Specialization is a flexibly designed course that can be pursued by students as per their own schedule. 

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1 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of Algorithms
Evaluations of AI Applications in Healthcare

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Certificate

Evaluations of AI Applications in Healthcare

Evaluations of AI Applications in Healthcare is a beginner-level online programme offered by the Stanford University School of Medicine which is accredited by the Accreditation Council for Continuing Medical Education (ACCME). Evaluations of AI Applications in Healthcare Certification Syllabus, prepared by Tina Hernandez-Boussard and Mildred Cho, will provide the candidates with a deep understanding of the application of artificial intelligence in healthcare and evaluation of the effects of AI healthcare solutions. 

Offered by Coursera, the Evaluations of AI Applications in Healthcare Certification Course is provided completely in the mode with a flexible deadline where the students can set the deadline as per their own schedule. Evaluations of AI Applications in Healthcare Certification by Coursera is the fourth in the five courses of AI in Healthcare Specialization. 

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1 Weeks
Beginner
1,699
Skills Covered:
Knowledge of Artificial Intelligence
Fundamentals of Machine Learning for Healthcare

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Certificate

Fundamentals of Machine Learning for Healthcare

Machine learning and artificial intelligence are new technological steps that can be applied in numerous fields to bring innovative breakthroughs. Machine learning and artificial intelligence has also an extraordinary scope and application in the medical and healthcare field. Fundamentals of Machine Learning for Healthcare will help the students to understand the significance of machine learning and artificial intelligence in the medical field and their potential to bring about transformations. 

Fundamentals of Machine Learning for Healthcare Certification Syllabus will introduce the learners to the basic concepts of machine learning and its applications in medicine and healthcare. By taking the course offered by Stanford University, the students will learn healthcare, health policy, pharmaceutical development, data science, and many more. 

Fundamentals of Machine Learning for Healthcare Certification Course, administered by Coursera, is a beginner-level programme that can be taken by the candidates at their own pace. Fundamentals of Machine Learning for Healthcare Certification by Coursera, instructed by Matthew Lungren who is the Associate Professor at the Department of Radiology, and Serena Yeung who is the Assistant Professor at Biomedical Data Science, is the third course in AI in Healthcare Specialization. 

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1 Weeks
Beginner
1,699
Skills Covered:
Machine learning Data science knowledge Knowledge of Pharmaceuticals
Thinking Critically Interpreting Randomized Clinical Trials

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Thinking Critically Series Interpreting Screening Trials

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Introduction to Clinical Data

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Certificate

Introduction to Clinical Data

Introduction to Clinical Data is an online course offered by the Stanford University School of Medicine which is accredited by the Accreditation Council for Continuing Medical Education (ACCME). The programme designed for beginner-level students will discuss the clinical data broadly. 

Introduction to Clinical Data Certification Syllabus will walk the learners through ethical medical data mining and the elements of bias and fairness in clinical and healthcare data in making decisions about the care for the patients. By taking the programme, the participants will be able to learn to build datasets and clean the clinical doubts and queries with the help of computational procedures. 

Introduction to Clinical Data Certification Course, offered by Coursera, is completely designed for the beginner-level learner with flexible deadlines. Introduction to Clinical Data Certification by Coursera, tutored by Nigam Shah, David Magnus, and Steven Bagley, is the second in the five courses of AI in Healthcare Specialization. 

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1 Weeks
Beginner
1,699
Skills Covered:
Knowledge of Data mining
Communicating with Presence

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Certificate

Communicating with Presence

1 Weeks
Expert
Free
Forest Monitoring with Claslite

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Certificate

Forest Monitoring with CLASlite

1 Weeks
Beginner
Free
Child Nutrition and Cooking

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Certificate

Child Nutrition and Cooking

The ‘Child Nutrition and Cooking’ online course is provided by the online education provider platform Coursera for the students interested in learning about child nutrition and the dietary habits of children that influence their health. The course study is developed and offered by Stanford University. The students can complete the course in ten hours and the course modules are structured for one weeks.

The course instruction is done by Maya Adam who is a lecturer at the Stanford University School of Medicine. This beginner-level program on nutrition and health is focused on providing insights into the food habits and lifestyle of childhood and the effects of processed foods on diets. 

The ‘Child Nutrition and Cooking’ training program enables the students from different linguistic backgrounds to get access to the course content with subtitles in different languages. There are flexible deadlines that ensure hassle-free completion of the course, after which the students are awarded the shareable course completion certificate.

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1 Weeks
Beginner
2,699
Skills Covered:
Knowledge of Physiology Knowledge of Microbiology Knowledge of nutrition
Neuromuscular Monitoring

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Certificate

Neuromuscular Monitoring Course

1 Weeks
Expert
Free

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