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Learn Computer Programming online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
MIT OpenCourseWare
This class builds a bridge between the recreational world of algorithmic puzzles (puzzles that can be solved by algorithms) and the pragmatic world of computer programming, teaching students to program while solving puzzles. Python syntax and semantics required to understand the code are explained…
Princeton University
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part…
The field of Computer Science is headed for a major upheaval with the rise of large AI models, such as ChatGPT, that are capable of performing general-purpose reasoning and problem solving. We are headed for a future in which it will no longer be necessary to write computer programs. Rather, I beli…
View Computer Musings, lectures given by Donald E. Knuth, Professor Emeritus of the Art of Computer Programming at Stanford University. The Stanford Center for Professional Development has digitized more than one hundred tapes of Knuth's musings, lectures, and selected classes and posted them onlin…
Princeton University
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part…
Harvard University
This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students).
MIT OpenCourseWare
This is a 9-day hands-on workshop about designing, building, and publishing simple educational videogames. No previous experience with computer programming or videogame design is required; beginning students will be taught everything they need to know and advanced students will be challenged to lea…
Stanford Online
The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).
École polytechnique fédérale de Lausanne
The first MOOC about responsible use of technology for humanitarians. Learn about technology and identify risks and opportunities when designing digital solutions.
Udacity
Learn what programming is, how it’s used, and why it matters. This introductory course breaks down essential concepts in a clear, accessible way for complete beginners.
IBM
Covers Computer Programming, Human Resources, Leadership and Management.
Cornell University
Explore the fundamental computing technology inside smartphones and the advanced techniques that make them run so fast.
Stanford Online
The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).
Cornell University
Explore the critical questions posed by how the social, economic, and technological realms of the modern world interconnect.
IIT Kanpur
Basic courses-Sem 1 and 2 course by Prof. M.K. Kadalbajoo, Prof. P.B. Sunil Kumar, Prof. Rathish Kumar, Prof. V. Ra….
DeepLearning.AI
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural ne…
Rice University
Enter the world of signal processing: analyze and extract meaning from the signals around us!
DeepLearning.AI
In this course, you will: • Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network. • Build custom loss functions (including the contrastive loss function used in a Siamese netwo…
