660+ Free Online Programming & Computer Science Courses You Can Start This July

I’ve sorted these courses into the following categories based on their difficulty level:

• Beginner
• Intermediate
• Advanced

Courses that are being offered for the first time are marked as [NEW].

Many of these courses are completely self-paced. The rest will start at various times. You can find complete lists of the technology-related courses starting later in 2019 on Class Central’s Computer Science^[5], Data Science^[6], and Programming^[7] subject pages.

I understand this a long list and might be daunting for learners new to programming. In that case, you might find David Venturi^[8]’s recommendations for the best Data Science online courses^[9] useful — even if you’re not looking to learn Data Science. I hope to create more of these guides in the future.

And finally if you have trouble figuring out how to signup for Coursera courses for free, don’t worry — I’ve written an article on how to do that, too^[10].

Beginner (157)

• An Introduction to Interactive Programming in Python (Part 1)^[11] from Rice University ★★★★★(2909)
• Introduction to Computer Science and Programming Using Python^[12] from Massachusetts Institute of Technology ★★★★★(99)
• Learn to Program: The Fundamentals^[13] from University of Toronto ★★★★★(86)
• Intro to Computer Science^[14] from University of Virginia ★★★★☆(61)
• CS50's Introduction to Computer Science^[15] from Harvard University ★★★★★(53)
• Ruby on Rails: An Introduction^[16] from Johns Hopkins University ★★★☆☆(50)
• Introduction to HTML5^[17] from University of Michigan ★★★★☆(37)
• Internet History, Technology, and Security^[18] from University of Michigan ★★★★★(35)
• Introduction to Linux^[19] from Linux Foundation ★★★★☆(34)
• How to Use Git and GitHub^[20]
• [New] Programming with GUIs from Raspberry Pi Foundation^[21]
• Intro to HTML and CSS^[22]
• Introduction to VBA/Excel Programming^[23] from Cal Poly Pomona ★★★★☆(21)
• Introduction to Cyber Security^[24] from The Open University ★★★★☆(18)
• Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)^[25] from Hebrew University of Jerusalem ★★★★★(14)
• Programming Basics^[26] from Indian Institute of Technology Bombay ★★☆☆☆(13)
• Computer Science 101^[27] from Stanford University ★★★★☆(11)
• Introduction to CSS3^[28] from University of Michigan ★★★★★(11)
• Creative Programming for Digital Media & Mobile Apps^[29] from University of London International Programmes ★★★★☆(10)
• HTML5 Coding Essentials and Best Practices^[30] from World Wide Web Consortium (W3C) ★★★★☆(9)
• Introduction to Computer Networking^[31] from Stanford University ★★★★★(8)
• Introduction to the Internet of Things and Embedded Systems^[32] from University of California, Irvine ★★★★☆(8)
• Usable Security^[33] from University of Maryland, College Park ★★★☆☆(8)
• Introduction to Bootstrap - A Tutorial^[34] from Microsoft ★★★☆☆(8)
• Code Yourself! An Introduction to Programming^[35] from University of Edinburgh ★★★★☆(7)
• HTML, CSS, and Javascript for Web Developers^[36] from Johns Hopkins University ★★★★★(6)
• Learn to Program: Crafting Quality Code^[37] from University of Toronto ★★★★★(6)
• Intro to Relational Databases^[38]
• Paradigms of Computer Programming – Fundamentals^[39] from Université catholique de Louvain ★★★★★(4)
• Paradigms of Computer Programming – Abstraction and Concurrency^[40] from Université catholique de Louvain ★★★★☆(4)
• Introduction to jQuery^[41] from Microsoft ★★★★☆(4)
• Programming in Scratch^[42] from Harvey Mudd College ★★★★★(4)
• How To Create a Website in a Weekend! (Project-Centered Course)^[43] from State University of New York ★★★★★(3)
• Introduction to Programming for the Visual Arts with p5.js^[44] from University of California, Los Angeles ★★★★☆(3)
• HTML5 and CSS Fundamentals^[45] from World Wide Web Consortium (W3C) ★★★★☆(3)
• Linux Command Line Basics^[46]
• The Beauty and Joy of Computing - AP® CS Principles Part 1^[47] from University of California, Berkeley ★★★★★(2)
• Object-Oriented Programming^[48] from Indian Institute of Technology Bombay ★★★★☆(2)
• The Computing Technology Inside Your Smartphone^[49] from Cornell University ★★★★★(2)
• Introduction to HTML and JavaScript^[50] from Microsoft ★★★★★(2)
• Think. Create. Code^[51] from University of Adelaide ★★★★★(2)
• CS For All: Introduction to Computer Science and Python Programming^[52] from Harvey Mudd College ★★★★★(2)
• Networks: Friends, Money, and Bytes^[53] from Princeton University ★★★☆☆(1)
• Programando con Java para aplicaciones Android^[54] from Universidad Nacional Autónoma de México ★★★★★(1)
• Android Basics: Make Your First App^[55] from Google ★★★★★(1)
• Computing: Art, Magic, Science^[56] from ETH Zurich ★★★★☆(1)
• MyCS: Computer Science for Beginners^[57] from Harvey Mudd College ★★★☆☆(1)
• CS50's Understanding Technology from Harvard University^[58]
• CS50's Computer Science for Business Professionals from Harvard University^[59]
• CS50's Mobile App Development with React Native from Harvard University^[60]
• CS50's Web Programming with Python and JavaScript from Harvard University^[61]
• CS50's Introduction to Game Development from Harvard University^[62]
• Principles of Computing from Stanford University^[63]
• Hacker Tools from Massachusetts Institute of Technology^[64]
• The Beauty and Joy of Computing - AP® CS Principles Part 2 from University of California, Berkeley^[65]
• Computational Thinking for Problem Solving from University of Pennsylvania^[66]
• The Unix Workbench from Johns Hopkins University^[67]
• JavaScript, jQuery, and JSON from University of Michigan^[68]
• Introduction to Structured Query Language (SQL) from University of Michigan^[69]
• Building Database Applications in PHP from University of Michigan^[70]
• Interacting with the System and Managing Memory from Duke University^[71]
• Programming Fundamentals from Duke University^[72]
• Computer Science: Programming with a Purpose from Princeton University^[73]
• Introduction to Computing using Python from Georgia Institute of Technology^[74]
• Introduction to Cybersecurity from University of Washington^[75]
• Python Programming Essentials from Rice University^[76]
• Introduction to Virtual Reality from University of London International Programmes^[77]
• Building Interactive 3D Characters and Social VR from University of London International Programmes^[78]
• How Computers Work from University of London International Programmes^[79]
• Introduction to Computer Programming from University of London International Programmes^[80]
• Software Engineering: Introduction from The University of British Columbia^[81]
• Introduction to Web Development from University of California, Davis^[82]
• Введение в базы данных from St. Petersburg State Polytechnic University^[83]
• Web Development and Design using Wordpress from California Institute of the Arts^[84]
• Web Design: Strategy and Information Architecture from California Institute of the Arts^[85]
• Cyber Security Economics from Delft University of Technology^[86]
• Scratch: Programmeren voor kinderen (8+) from Delft University of Technology^[87]
• Excel/VBA for Creative Problem Solving, Part 2 from University of Colorado Boulder^[88]
• Основы проектирования приложений интернета вещей from Moscow Institute of Physics and Technology^[89]
• Тонкости верстки from Moscow Institute of Physics and Technology^[90]
• Web Coding Fundamentals: HTML, CSS and Javascript from National University of Singapore^[91]
• Java Fundamentals for Android Development from Galileo University^[92]
• Android App Development for Beginners from Galileo University^[93]
• Monetize your Android Applications from Galileo University^[94]
• AP Computer Science A: Java Programming Classes and Objects from Purdue University^[95]
• AP Computer Science A: Java Programming Loops and Data Structures from Purdue University^[96]
• AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures from Purdue University^[97]
• Introduction to TCP/IP from Yonsei University^[98]
• Deep Learning for Business from Yonsei University^[99]
• Cyber Security Basics: A Hands-on Approach from Universidad Carlos iii de Madrid^[100]
• Problem Solving, Programming, and Video Games from University of Alberta^[101]
• Introduzione a LaTeX from University of Modena and Reggio Emilia^[102]
• Blockchain 360: A State of the Art for Professionals from EIT Digital^[103]
• Mobile Web Development from Google^[104]
• Web Accessibility from Google^[105]
• Introduction to Design Thinking from Microsoft^[106]
• Introduction to ReactJS from Microsoft^[107]
• Introduction to NodeJS from Microsoft^[108]
• Logic and Computational Thinking from Microsoft^[109]
• CSS Basics from Microsoft^[110]
• Object Oriented Programming in Java from Microsoft^[111]
• Learn to Program in Java from Microsoft^[112]
• Writing Professional Code from Microsoft^[113]
• How Entrepreneurs in Emerging Markets can master the Blockchain Technology from University of Cape Town^[114]
• C Programming: Using Linux Tools and Libraries from Dartmouth^[115]
• C Programming: Modular Programming and Memory Management from Dartmouth^[116]
• C Programming: Advanced Data Types from Dartmouth^[117]
• C Programming: Language Foundations from Institut Mines-Télécom^[118]
• C Programming: Getting Started from Dartmouth^[119]
• C Programming: Pointers and Memory Management from Dartmouth^[120]
• Linux Basics: The Command Line Interface from Dartmouth^[121]
• Computing: Art, Magic, Science - Part II from ETH Zurich^[122]
• Software Design Methods and Tools from University of Colorado System^[123]
• TCP/IP and Advanced Topics from University of Colorado System^[124]
• Software Design as an Element of the Software Development Lifecycle from University of Colorado System^[125]
• Proactive Computer Security from University of Colorado System^[126]
• Introduction to Cybersecurity for Business from University of Colorado System^[127]
• Software Design as an Abstraction from University of Colorado System^[128]
• Introduction to Open Source Networking Technologies from Linux Foundation^[129]
• Blockchain: Understanding Its Uses and Implications from Linux Foundation^[130]
• Introducción a la programación en C: Instrucciones de control y ficheros de texto from Universidad Autónoma de Madrid^[131]
• Mobile Computing with App Inventor – CS Principles from The University of Warwick^[132]
• Introduction to the Internet of Things (IoT) from Curtin University^[133]
• Software Engineering Essentials from Technische Universität München (Technical University of Munich)^[134]
• Базы данных (Databases) from Saint Petersburg State University^[135]
• Web Security Fundamentals from KU Leuven University^[136]
• Arduino Programming, from novice to ninja from Institut Mines-Télécom^[137]
• Video Game Design and Balance from Rochester Institute of Technology^[138]
• Cyber Attack Countermeasures from New York University (NYU)^[139]
• Introduction to Cyber Attacks from New York University (NYU)^[140]
• Introdução à Ciência da Computação com Python Parte 1 from Universidade de São Paulo^[141]
• Introdução à Ciência da Computação com Python Parte 2 from Universidade de São Paulo^[142]
• Programación Orientada a Objetos from MéxicoX^[143]
• Computing Form and Shape: Python Programming with the Rhinoscript Library from Rhode Island School of Design^[144]
• Introduction to MongoDB from MongoDB University^[145]
• Object-oriented Programming in Python: Create Your Own Adventure Game from Raspberry Pi Foundation^[146]
• Programming 102: Think Like a Computer Scientist from Raspberry Pi Foundation^[147]
• Programación Orientada a Objetos con Python from Universidad Austral^[148]
• Diseñando páginas web con Bootstrap 4 from Universidad Austral^[149]
• How Computers Work: Demystifying Computation from Raspberry Pi Foundation^[150]
• Swift for Beginners^[151]
• Data Communications and Network Services from Cisco^[152]
• Elements of AI from University of Helsinki^[153]
• Blockchain in the Energy Sector from InnoEnergy^[154]
• Learn Swift Programming Syntax^[155]
• Internet Connection: How to Get Online? from Cisco^[156]
• Network Protocols and Architecture from Cisco^[157]
• Introduction to Cisco Networking from Cisco^[158]
• Version Control with Git from Atlassian^[159]
• ES6 - JavaScript Improved^[160]
• Introduction to Virtual Reality^[161]
• GitHub & Collaboration^[162]
• Version Control with Git^[163]
• HTTP & Web Servers^[164]
• Android for Beginners^[165]
• Web Applications for Everybody^[166]
• Home Networking Basics from Cisco^[167]

• Using Databases with Python^[168] from University of Michigan ★★★★★(291)
• Machine Learning^[169] from Stanford University ★★★★★(261)
• Functional Programming Principles in Scala^[170] from École Polytechnique Fédérale de Lausanne ★★★★★(58)
• Algorithms, Part I^[171] from Princeton University ★★★★☆(48)
• Cryptography I^[172] from Stanford University ★★★★★(45)
• Introduction to Agent-based Modeling^[173] from Santa Fe Institute ★★★★★(39)
• Programming Mobile Applications for Android Handheld Systems: Part 1^[174] from University of Maryland, College Park ★★★★☆(38)
• CS188.1x: Artificial Intelligence^[175] from University of California, Berkeley ★★★★★(30)
• Principles of Computing (Part 1)^[176] from Rice University ★★★★★(26)
• Practical Machine Learning^[177] from Johns Hopkins University ★★★☆☆(22)
• Software Security^[178] from University of Maryland, College Park ★★★★★(22)
• Algorithms, Part II^[179] from Princeton University ★★★★★(21)
• Responsive Website Basics: Code with HTML, CSS, and JavaScript^[180] from University of London International Programmes ★★★★☆(21)
• Agile Development Using Ruby on Rails - The Basics^[181] from University of California, Berkeley ★★★★★(19)
• Cloud Computing Concepts, Part 1^[182] from University of Illinois at Urbana-Champaign ★★★☆☆(19)
• Automata Theory^[183] from Stanford University ★★★★☆(17)
• Programming Languages, Part A^[184] from University of Washington ★★★★★(17)
• C++ For C Programmers, Part A^[185] from University of California, Santa Cruz ★★★☆☆(16)
• Principles of Computing (Part 2)^[186] from Rice University ★★★★☆(15)
• Programming Mobile Applications for Android Handheld Systems: Part 2^[187] from University of Maryland, College Park ★★★★☆(15)
• The Nature of Code^[188] from Processing Foundation ★★★★★(15)
• Algorithmic Thinking (Part 1)^[189] from Rice University ★★★★☆(14)
• Design of Computer Programs^[190] from Stanford University ★★★★☆(13)
• Intro to Machine Learning^[191] from Stanford University ★★★★☆(12)
• Algorithmic Toolbox^[192] from University of California, San Diego ★★★★☆(12)
• Discrete Optimization^[193] from University of Melbourne ★★★★☆(12)
• Responsive Web Design^[194] from University of London International Programmes ★★★☆☆(11)
• Introduction to Game Development^[195] from Michigan State University ★★★★☆(11)
• Introduction to Functional Programming^[196] from Delft University of Technology ★★★★☆(11)
• Interactivity with JavaScript^[197] from University of Michigan ★★★★☆(10)
• Introduction to Software Product Management^[198] from University of Alberta ★★★★☆(10)
• Android Development for Beginners^[199] from Google ★★★★☆(10)
• The Arduino Platform and C Programming^[200] from University of California, Irvine ★★★☆☆(9)
• Algorithmic Thinking (Part 2)^[201] from Rice University ★★★★☆(9)
• Programming Languages^[202] from University of Virginia ★★★☆☆(9)
• Software Processes and Agile Practices^[203] from University of Alberta ★★★★☆(9)
• Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital^[204] from Duke University ★★★★☆(8)
• Text Retrieval and Search Engines^[205] from University of Illinois at Urbana-Champaign ★★★☆☆(8)
• Cryptography^[206] from University of Maryland, College Park ★★★★☆(8)
• Advanced Styling with Responsive Design^[207] from University of Michigan ★★★★☆(7)
• Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure^[208] from University of Illinois at Urbana-Champaign ★★★☆☆(7)
• Software Testing^[209] from University of Utah ★★★★☆(7)
• Internet of Things: How did we get here?^[210] from University of California, San Diego ★★☆☆☆(6)
• Introduction To Swift Programming^[211] from University of Toronto ★☆☆☆☆(6)
• Learning from Data (Introductory Machine Learning course)^[212] from California Institute of Technology ★★★★☆(6)
• Client Needs and Software Requirements^[213] from University of Alberta ★★★★☆(6)
• Responsive Web Design Fundamentals^[214] from Google ★★★★☆(6)
• Intro to AJAX^[215]
• Agile Development Using Ruby on Rails - Advanced^[216] from University of California, Berkeley ★★★★★(5)
• Ruby on Rails Web Services and Integration with MongoDB^[217] from Johns Hopkins University ★★★★★(5)
• Cloud Computing Concepts: Part 2^[218] from University of Illinois at Urbana-Champaign ★★★★★(5)
• Computer Graphics^[219] from University of California, San Diego ★★★★☆(5)
• Data Structures and Performance^[220] from University of California, San Diego ★★★★★(5)
• Web Application Development with JavaScript and MongoDB^[221] from University of London International Programmes ★★★★☆(5)
• Introduction to Meteor.js Development^[222] from University of London International Programmes ★★★★★(5)
• How to Code: Simple Data^[223] from The University of British Columbia ★★★★☆(5)
• Developing Android Apps^[224] from Google ★★★★☆(5)
• Julia Scientific Programming^[225] from University of Cape Town ★★★★★(5)
• Data Wrangling with MongoDB^[226] from MongoDB University ★★★★☆(5)
• Parallel Programming Concepts^[227]
• Intro to DevOps^[228] from Nutanix ★★★☆☆(5)
• Intro to iOS App Development with Swift^[229]
• Interfacing with the Arduino^[230] from University of California, Irvine ★★★★☆(4)
• Algorithms on Strings^[231] from University of California, San Diego ★★★☆☆(4)
• Analysis of Algorithms^[232] from Princeton University ★★★★★(4)
• Computer Architecture^[233] from Princeton University ★★★★★(4)
• Computer Networking^[234] from Georgia Institute of Technology ★★★★☆(4)
• Software Development Process^[235] from Georgia Institute of Technology ★★★☆☆(4)
• Cloud Networking^[236] from University of Illinois at Urbana-Champaign ★★★★☆(4)
• Website Performance Optimization^[237] from Google ★★★★☆(4)
• HTML5 Game Development^[238] from Google ★★★☆☆(4)
• Practical Numerical Methods with Python^[239] from George Washington University ★★★★☆(4)
• Database Management Essentials^[240] from University of Colorado System ★★★★☆(4)
• Interactive Computer Graphics^[241] from The University of Tokyo ★★☆☆☆(4)
• Software Debugging^[242] from Saarland University ★★★★★(4)
• Software Construction in Java^[243] from Massachusetts Institute of Technology ★★★★★(3)
• Foundations of Objective-C App Development^[244] from University of California, Irvine ★★★☆☆(3)
• The Raspberry Pi Platform and Python Programming for the Raspberry Pi^[245] from University of California, Irvine ★★★★☆(3)
• Data Structures^[246] from University of California, San Diego ★★★☆☆(3)
• Networks Illustrated: Principles without Calculus^[247] from Princeton University ★★★★☆(3)
• VLSI CAD Part I: Logic^[248] from University of Illinois at Urbana-Champaign ★★★★★(3)
• Mastering the Software Engineering Interview^[249] from University of California, San Diego ★★★★☆(3)
• Internet of Things: Setting Up Your DragonBoard™ Development Platform^[250] from University of California, San Diego ★★★☆☆(3)
• Querying Data with Transact-SQL^[251] from Microsoft ★★★★☆(3)
• DevOps for Developers: How to Get Started^[252] from Microsoft ★★★★☆(3)
• Autonomous Mobile Robots^[253] from ETH Zurich ★★★☆☆(3)
• Intro to Algorithms^[254]
• Compilers^[255] from Stanford University ★★★★☆(2)
• Mobile Application Experiences Part 1: From a Domain to an App Idea^[256] from Massachusetts Institute of Technology ★★★★★(2)
• Rails with Active Record and Action Pack^[257] from Johns Hopkins University ★★★★☆(2)
• Algorithms on Graphs^[258] from University of California, San Diego ★★★★☆(2)
• Advanced Data Structures in Java^[259] from University of California, San Diego ★★★★☆(2)
• Internet of Things: Communication Technologies^[260] from University of California, San Diego ★★★☆☆(2)
• App Design and Development for iOS^[261] from University of Toronto ★★★☆☆(2)
• iOS App Development Basics^[262] from University of Toronto ★★★★☆(2)
• Game Development for Modern Platforms^[263] from Michigan State University ★★★★★(2)
• Introduction to Mobile Application Development using Android^[264] from The Hong Kong University of Science and Technology ★★★★☆(2)
• Agile Planning for Software Products^[265] from University of Alberta ★★★☆☆(2)
• UX Design for Mobile Developers^[266] from Google ★★★★★(2)
• Browser Rendering Optimization^[267] from Google ★★★★☆(2)
• Analyzing and Visualizing Data with Power BI^[268] from Microsoft ★★★★★(2)
• Developing International Software, Part 1^[269] from Microsoft ★★★★☆(2)
• Agile Software Development^[270] from ETH Zurich ★★★★★(2)
• Build Your First Android App (Project-Centered Course)^[271] from École Centrale Paris ★★★☆☆(2)
• Approximation Algorithms Part I^[272] from École normale supérieure ★★★★★(2)
• JavaScript Testing^[273]
• Full Stack Foundations^[274]
• Configuring Linux Web Servers^[275]
• Single Page Web Applications with AngularJS^[276] from Johns Hopkins University ★★★★★(1)
• Interfacing with the Raspberry Pi^[277] from University of California, Irvine ★☆☆☆☆(1)
• Best Practices for iOS User Interface Design^[278] from University of California, Irvine ★★★★★(1)
• Machine Learning: Unsupervised Learning^[279] from Brown University ★★★★☆(1)
• Advanced Algorithms and Complexity^[280] from University of California, San Diego ★★★☆☆(1)
• Software Architecture & Design^[281] from Georgia Institute of Technology ★★★★★(1)
• Responsive Website Tutorial and Examples^[282] from University of London International Programmes ★★★★★(1)
• Managing an Agile Team^[283] from University of Virginia ★★☆☆☆(1)
• MATLAB and Octave for Beginners^[284] from École Polytechnique Fédérale de Lausanne ★☆☆☆☆(1)
• Web Application Development: Basic Concepts^[285] from University of New Mexico ★★★★☆(1)
• Android: Introducción a la Programación^[286] from Universitat Politècnica de València ★★★★☆(1)
• Algorithms^[287] from Indian Institute of Technology Bombay ★★★★★(1)
• Android Basics: Multiscreen Apps^[288] from Google ★★★★☆(1)
• Developing Scalable Apps in Java^[289] from Google ★★★★☆(1)
• Google Cloud Platform Fundamentals: Core Infrastructure^[290] from Google ★★★★☆(1)
• Gradle for Android and Java^[291] from Google ★★★★★(1)
• Developing Scalable Apps in Python^[292] from Google ★★★★☆(1)
• JavaScript Promises^[293] from Google ★★★★★(1)
• Principles of Machine Learning^[294] from Microsoft ★★★★★(1)
• 用Python玩转数据 Data Processing Using Python^[295] from Nanjing University ★★★★★(1)
• Cybersecurity and Mobility^[296] from University System of Georgia ★☆☆☆☆(1)
• HTML5 Apps and Games^[297] from World Wide Web Consortium (W3C) ★★★☆☆(1)
• Technical Interview^[298] from Pramp ★★★★★(1)
• Networking for Web Developers^[299]
• Intro to Theoretical Computer Science^[300]
• Using Python for Research from Harvard University^[301]
• Language, Proof and Logic from Stanford University^[302]
• Graph Search, Shortest Paths, and Data Structures from Stanford University^[303]
• Divide and Conquer, Sorting and Searching, and Randomized Algorithms from Stanford University^[304]
• Shortest Paths Revisited, NP-Complete Problems and What To Do About Them from Stanford University^[305]
• Probabilistic Graphical Models 3: Learning from Stanford University^[306]
• Algorithms: Design and Analysis from Stanford University^[307]
• Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming from Stanford University^[308]
• Algorithms: Design and Analysis, Part 2 from Stanford University^[309]
• Mobile Application Experiences Part 3: Building Mobile Apps from Massachusetts Institute of Technology^[310]
• Computational Thinking for Modeling and Simulation from Massachusetts Institute of Technology^[311]
• Advanced Software Construction in Java from Massachusetts Institute of Technology^[312]
• Mobile Application Experiences from Massachusetts Institute of Technology^[313]
• Computation Structures 2: Computer Architecture from Massachusetts Institute of Technology^[314]
• Foundations of Data Science: Prediction and Machine Learning from University of California, Berkeley^[315]
• Bitcoin and Cryptocurrencies from University of California, Berkeley^[316]
• Blockchain Technology from University of California, Berkeley^[317]
• Algorithm Design and Analysis from University of Pennsylvania^[318]
• Data Structures and Software Design from University of Pennsylvania^[319]
• Software Development Fundamentals from University of Pennsylvania^[320]
• Introduction to Neurohacking In R from Johns Hopkins University^[321]
• Networking and Security in iOS Applications from University of California, Irvine^[322]
• Games, Sensors and Media from University of California, Irvine^[323]
• Toward the Future of iOS Development with Swift from University of California, Irvine^[324]
• Building Web Applications in PHP from University of Michigan^[325]
• Introduction to Machine Learning from Duke University^[326]
• Computer Science: Algorithms, Theory, and Machines from Princeton University^[327]
• Introduction to Graduate Algorithms from Georgia Institute of Technology^[328]
• Software Analysis & Testing from Georgia Institute of Technology^[329]
• Database Systems Concepts & Design from Georgia Institute of Technology^[330]
• Database Systems Concepts and Design from Georgia Institute of Technology^[331]
• Animation and CGI Motion from Columbia University^[332]
• Data Analytics Foundations for Accountancy II from University of Illinois at Urbana-Champaign^[333]
• Data Structures: An Active Learning Approach from University of California, San Diego^[334]
• Creating Virtual Reality (VR) Apps from University of California, San Diego^[335]
• Internet of Things: Sensing and Actuation From Devices from University of California, San Diego^[336]
• How Virtual Reality Works from University of California, San Diego^[337]
• String Processing and Pattern Matching Algorithms from University of California, San Diego^[338]
• Algorithmic Design and Techniques from University of California, San Diego^[339]
• Minecraft, Coding and Teaching from University of California, San Diego^[340]
• Graph Algorithms from University of California, San Diego^[341]
• Machine Learning Fundamentals from University of California, San Diego^[342]
• Data Structures Fundamentals from University of California, San Diego^[343]
• Finding Your Cybersecurity Career Path from University of Washington^[344]
• Programming Languages, Part B from University of Washington^[345]
• Building a Cybersecurity Toolkit from University of Washington^[346]
• Cybersecurity: The CISO's View from University of Washington^[347]
• Programming Languages, Part C from University of Washington^[348]
• Mathematics for Computer Science from University of London International Programmes^[349]
• 3D Models for Virtual Reality from University of London International Programmes^[350]
• Build Your Own iOS App from University of Toronto^[351]
• Blockchain Basics from University at Buffalo^[352]
• Smart Contracts from University at Buffalo^[353]
• Blockchain Platforms from University at Buffalo^[354]
• Decentralized Applications (Dapps) from University at Buffalo^[355]
• 面向对象技术高级课程（The Advanced Object-Oriented Technology） from Peking University^[356]
• 算法设计与分析 Design and Analysis of Algorithms from Peking University^[357]
• Software Construction: Object-Oriented Design from The University of British Columbia^[358]
• Software Construction: Data Abstraction from The University of British Columbia^[359]
• How to Code: Complex Data from The University of British Columbia^[360]
• Testing with Agile from University of Virginia^[361]
• Running Product Design Sprints from University of Virginia^[362]
• NoSQL Database Systems from Arizona State University^[363]
• Moving to the Cloud from University of Melbourne^[364]
• SQL for Data Science from University of California, Davis^[365]
• LAFF – On Programming for Correctness from The University of Texas at Austin^[366]
• Документы и презентации в LaTeX (Introduction to LaTeX) from Higher School of Economics^[367]
• Agile Software Development from University of Minnesota^[368]
• Lean Software Development from University of Minnesota^[369]
• Software Development Processes and Methodologies from University of Minnesota^[370]
• Android App Components - Services, Local IPC, and Content Providers from Vanderbilt University^[371]
• Android App Components - Intents, Activities, and Broadcast Receivers from Vanderbilt University^[372]
• Engineering Maintainable Android Apps from Vanderbilt University^[373]
• Java for Android from Vanderbilt University^[374]
• Front-End JavaScript Frameworks: Angular from The Hong Kong University of Science and Technology^[375]
• Server-side Development with NodeJS, Express and MongoDB from The Hong Kong University of Science and Technology^[376]
• Front-End Web UI Frameworks and Tools: Bootstrap 4 from The Hong Kong University of Science and Technology^[377]
• Developing Android Apps with App Inventor from The Hong Kong University of Science and Technology^[378]
• Multiplatform Mobile App Development with React Native from The Hong Kong University of Science and Technology^[379]
• Multiplatform Mobile App Development with NativeScript from The Hong Kong University of Science and Technology^[380]
• Front-End Web Development with React from The Hong Kong University of Science and Technology^[381]
• Multiplatform Mobile App Development with Web Technologies: Ionic and Cordova from The Hong Kong University of Science and Technology^[382]
• Global Software Development from Delft University of Technology^[383]
• Automated Software Testing: Practical Skills for Java Developers from Delft University of Technology^[384]
• Automated Software Testing: Advanced Skills for Java Developers from Delft University of Technology^[385]
• Основы HTML и CSS from Moscow Institute of Physics and Technology^[386]
• Building Arduino robots and devices from Moscow Institute of Physics and Technology^[387]
• Быстрый старт в разработке Android-приложений from Moscow Institute of Physics and Technology^[388]
• Разработка веб-сервисов на Golang, часть 2 from Moscow Institute of Physics and Technology^[389]
• Введение в iOS-разработку from Moscow Institute of Physics and Technology^[390]
• NoSQL systems from Universidad Nacional Autónoma de México^[391]
• Relational database systems from Universidad Nacional Autónoma de México^[392]
• Fundamentos de Android from Universidad Nacional Autónoma de México^[393]
• Implementation of Data Structures from Indian Institute of Technology Bombay^[394]
• Foundations of Data Structures from Indian Institute of Technology Bombay^[395]
• Professional Android App Development from Galileo University^[396]
• Сетевое администрирование: от теории к практике from Tsinghua University^[397]
• Enterprise Software Lifecycle Management from National Research Nuclear University MEPhI^[398]
• Использование механизмов операционных систем в разработке программного обеспечения from National Research Nuclear University MEPhI^[399]
• Introduction to Java Programming: Fundamental Data Structures and Algorithms from Universidad Carlos iii de Madrid^[400]
• The Software Architect Code: Building the Digital World from Universidad Carlos iii de Madrid^[401]
• Design Patterns from University of Alberta^[402]
• Software Architecture from University of Alberta^[403]
• Object-Oriented Design from University of Alberta^[404]
• Reviews & Metrics for Software Improvements from University of Alberta^[405]
• Service-Oriented Architecture from University of Alberta^[406]
• Web Connectivity and Security in Embedded Systems from EIT Digital^[407]
• Architecting Smart IoT Devices from EIT Digital^[408]
• Software Architecture for the Internet of Things from EIT Digital^[409]
• Introduction to Architecting Smart IoT Devices from EIT Digital^[410]
• Google Cloud Platform Fundamentals for AWS Professionals from Google Cloud^[411]
• Advanced Android App Development from Google^[412]
• Android Basics: User Input from Google^[413]
• Intro to Progressive Web Apps from Google^[414]
• Material Design for Android Developers from Google^[415]
• VR Software Development from Google^[416]
• Android Basics: User Interface from Google^[417]
• Android Basics: Button Clicks from Google^[418]
• Intro to Data Structures and Algorithms from Google^[419]
• Android Basics: Networking from Google^[420]
• Client-Server Communication from Google^[421]
• Google Maps APIs from Google^[422]
• Scalable Microservices with Kubernetes from Google^[423]
• Offline Web Applications from Google^[424]
• Firebase Essentials For Android from Google^[425]
• Android Performance from Google^[426]
• Developing Android Apps with Kotlin from Google^[427]
• Advanced CSS Concepts from Microsoft^[428]
• AngularJS: Framework Fundamentals from Microsoft^[429]
• Algorithms and Data Structures in C# from Microsoft^[430]
• Introduction to C# from Microsoft^[431]
• AngularJS: Advanced Framework Techniques from Microsoft^[432]
• Creating Programmatic SQL Database Objects from Microsoft^[433]
• Implementing In-Memory SQL Database Objects from Microsoft^[434]
• Application Design Considerations: An Inclusive Approach from Microsoft^[435]
• Introduction to TypeScript 2 from Microsoft^[436]
• Designing Data Platform Solutions from Microsoft^[437]
• Applied Machine Learning from Microsoft^[438]
• Developing SQL Databases from Microsoft^[439]
• Building Interactive Prototypes using JavaScript from Microsoft^[440]
• Building Functional Prototypes using Node.js from Microsoft^[441]
• Algorithms and Data Structures from Microsoft^[442]
• Optimizing Performance for SQL Based Applications from Microsoft^[443]
• Developing Intelligent Apps and Bots from Microsoft^[444]
• Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course) from Hebrew University of Jerusalem^[445]
• Programmation iOS (partie I) from Sorbonne Universités^[446]
• Programmation iOS (partie II) from Sorbonne Universités^[447]
• Introduction to Data Structures from University of Adelaide^[448]
• Introduction to Computation Theory from Santa Fe Institute^[449]
• Fundamentals of Machine Learning from Santa Fe Institute^[450]
• Peer-to-Peer Protocols and Local Area Networks from University of Colorado System^[451]
• Requirements Specifications: Goals and Conflict Analysis from University of Colorado System^[452]
• Software Requirements Prioritization: Risk Analysis from University of Colorado System^[453]
• Introduction to Web Cartography: Part 1 from ETH Zurich^[454]
• Requirements Gathering for Secure Software Development from University of Colorado System^[455]
• Cloud Computing Security from University of Colorado System^[456]
• Homeland Security & Cybersecurity Connection - It's Not About the Terrorists from University of Colorado System^[457]
• Requirements Elicitation: Artifact and Stakeholder Analysis from University of Colorado System^[458]
• Introduction to C# Programming and Unity from University of Colorado System^[459]
• Intermediate Object-Oriented Programming for Unity Games from University of Colorado System^[460]
• Asymmetric Cryptography and Key Management from University of Colorado System^[461]
• Software Design Threats and Mitigations from University of Colorado System^[462]
• Packet Switching Networks and Algorithms from University of Colorado System^[463]
• Symmetric Cryptography from University of Colorado System^[464]
• Data Structures and Design Patterns for Game Developers from University of Colorado System^[465]
• Basic Cryptography and Programming with Crypto API from University of Colorado System^[466]
• Design and Analyze Secure Networked Systems from University of Colorado System^[467]
• Linux Server Management and Security from University of Colorado System^[468]
• Detecting and Mitigating Cyber Threats and Attacks from University of Colorado System^[469]
• SRS Documents: Requirements and Diagrammatic Notations from University of Colorado System^[470]
• Hacking and Patching from University of Colorado System^[471]
• More C# Programming and Unity from University of Colorado System^[472]
• Fundamentals of Network Communication from University of Colorado System^[473]
• Introduction to Kubernetes from Linux Foundation^[474]
• Introduction to Cloud Infrastructure Technologies from Linux Foundation^[475]
• Machine Learning for Musicians and Artists from Goldsmiths, University of London^[476]
• 2D Game Development with libGDX from Amazon^[477]
• Introduction to DevOps: Transforming and Improving Operations from Linux Foundation^[478]
• Cybersecurity and the X-Factor from University System of Georgia^[479]
• Cybersecurity and the Internet of Things from University System of Georgia^[480]
• Cybersecurity and Privacy in the IoT from Curtin University^[481]
• Web App Development with the Power of Node.js from Technische Universität München (Technical University of Munich)^[482]
• IoT System Architecture: Design and Evaluation from Waseda University^[483]
• Mobile Design and Usability for Android from Facebook^[484]
• Mobile Design and Usability for iOS from Facebook^[485]
• Orientação a Objetos com Java from Instituto Tecnológico de Aeronáutica^[486]
• Overview of Advanced Methods of Reinforcement Learning in Finance from New York University (NYU)^[487]
• Guided Tour of Machine Learning in Finance from New York University (NYU)^[488]
• Real-Time Cyber Threat Detection and Mitigation from New York University (NYU)^[489]
• UML Class Diagrams for Software Engineering from KU Leuven University^[490]
• Fundamentals of Machine Learning in Finance from New York University (NYU)^[491]
• Teamwork & Collaboration from Rochester Institute of Technology^[492]
• Gameplay Programming for Video Game Designers from Rochester Institute of Technology^[493]
• Cybersecurity Fundamentals from Rochester Institute of Technology^[494]
• Advanced Algorithmics and Graph Theory with Python from Institut Mines-Télécom^[495]
• Programming for Everyone – An Introduction to Visual Programming Languages from Weizmann Institute of Science^[496]
• Introdução ao Teste de Software from Universidade de São Paulo^[497]
• Concurrency from AdaCore University^[498]
• M220J: MongoDB for Java Developers from MongoDB University^[499]
• How to Win Coding Competitions: Secrets of Champions from ITMO University^[500]
• Основы программирования мобильных приложений для Android from ITMO University^[501]
• M220JS: MongoDB for Javascript Developers from MongoDB University^[502]
• Software Testing Fundamentals from University System of Maryland^[503]
• Desarrollo de Aplicaciones Mobile Multiplataforma con Nativescript, Angular y Redux from Universidad Austral^[504]
• Formal Software Verification from University System of Maryland^[505]
• Cloud Computing Infrastructure from University System of Maryland^[506]
• Software Testing Management from University System of Maryland^[507]
• Cloud Computing Management from University System of Maryland^[508]
• Cloud Computing for Enterprises from University System of Maryland^[509]
• An Introduction to Practical Deep Learning from Intel^[510]
• Designing RESTful APIs^[511]
• Deploying Applications with Heroku^[512]
• How to create in Android^[513]
• Learn Backbone.js^[514]
• Fundamentals of Parallelism on Intel Architecture from Intel^[515]
• Dynamic Web Applications with Sinatra^[516]
• VR Design^[517]
• Android Basics: Data Storage^[518]
• Fundamentals of Red Hat Enterprise Linux from Red Hat^[519]
• Introduction: Elements of Microgame Design from Worcester Polytechnic Institute^[520]
• Intro to TensorFlow for Deep Learning^[521]
• Diseño de Sistemas de información gerencial para Internet con MySQL / PHP y Joomla from Universidad del Rosario^[522]
• SQL for Data Analysis^[523]
• Hacker101 from HackerOne^[524]
• iOS Networking with Swift^[525]
• Fundamentals of Containers, Kubernetes, and Red Hat OpenShift from Red Hat^[526]
• VR Platforms & Applications^[527]
• How to Make an iOS App^[528]
• iOS Persistence and Core Data^[529]
• Developing Android Apps^[530]
• iOS Design Patterns^[531]
• Building iOS Interfaces^[532]
• Swift for Developers^[533]
• VR Scenes and Objects^[534]
• UIKit Fundamentals^[535]
• Foundations of Machine Learning from Bloomberg^[536]

Advanced (140)

• Machine Learning Foundations: A Case Study Approach^[537] from University of Washington ★★★★☆(38)
• [New] Natural Language Processing in TensorFlow from deeplearning.ai^[538]
• Machine Learning: Regression^[539] from University of Washington ★★★★★(18)
• Machine Learning for Data Science and Analytics^[540] from Columbia University ★★★☆☆(15)
• Probabilistic Graphical Models 1: Representation^[541] from Stanford University ★★★★☆(14)
• Intro to Deep Learning^[542] from Google ★★☆☆☆(13)
• Creative Applications of Deep Learning with TensorFlow^[543]
• Machine Learning With Big Data^[544] from University of California, San Diego ★★☆☆☆(12)
• Machine Learning for Trading^[545] from Georgia Institute of Technology ★★★☆☆(11)
• Hardware Security^[546] from University of Maryland, College Park ★★★☆☆(11)
• Bitcoin and Cryptocurrency Technologies^[547] from Princeton University ★★★★☆(10)
• Introduction to Artificial Intelligence^[548] from Stanford University ★★★★★(9)
• Computational Neuroscience^[549] from University of Washington ★★★★☆(8)
• Reinforcement Learning^[550] from Brown University ★★☆☆☆(6)
• Machine Learning: Classification^[551] from University of Washington ★★★★★(6)
• Intro to Parallel Programming^[552] from Nvidia ★★★★☆(6)
• Advanced Operating Systems^[553] from Georgia Institute of Technology ★★★★★(5)
• Enabling Technologies for Data Science and Analytics: The Internet of Things^[554] from Columbia University ★☆☆☆☆(5)
• Interactive 3D Graphics^[555] from Autodesk ★★★★★(5)
• Machine Learning^[556] from Georgia Institute of Technology ★★★★★(4)
• Applied Cryptography^[557] from University of Virginia ★★★★☆(4)
• Parallel programming^[558] from École Polytechnique Fédérale de Lausanne ★★★★☆(4)
• Introduction to Computer Architecture^[559] from Carnegie Mellon University ★★★★★(4)
• Probabilistic Graphical Models 2: Inference^[560] from Stanford University ★★★★☆(3)
• Machine Learning: Clustering & Retrieval^[561] from University of Washington ★★★★★(3)
• Practical Predictive Analytics: Models and Methods^[562] from University of Washington ★★☆☆☆(3)
• Quantitative Formal Modeling and Worst-Case Performance Analysis^[563] from EIT Digital ★★★☆☆(3)
• Nearest Neighbor Collaborative Filtering^[564] from University of Minnesota ★★☆☆☆(2)
• Introduction to Operating Systems^[565] from Georgia Institute of Technology ★★★★★(1)
• Computational Photography^[566] from Georgia Institute of Technology ★★★★☆(1)
• Computability, Complexity & Algorithms^[567] from Georgia Institute of Technology ★★★★★(1)
• High Performance Computer Architecture^[568] from Georgia Institute of Technology ★★★★★(1)
• Artificial Intelligence (AI)^[569] from Columbia University ★☆☆☆☆(1)
• Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud^[570] from University of Illinois at Urbana-Champaign ★★★★☆(1)
• Relational Database Support for Data Warehouses^[571] from University of Colorado System ★★☆☆☆(1)
• Practical Deep Learning For Coders, Part 1^[572] from fast.ai ★★★★★(1)
• Structuring Machine Learning Projects from deeplearning.ai^[573]
• Neural Networks and Deep Learning from deeplearning.ai^[574]
• Sequence Models from deeplearning.ai^[575]
• Convolutional Neural Networks from deeplearning.ai^[576]
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization from deeplearning.ai^[577]
• Real-Time Audio Signal Processing in Faust from Stanford University^[578]
• Computation Structures 3: Computer Organization from Massachusetts Institute of Technology^[579]
• 6.S094: Deep Learning for Self-Driving Cars from Massachusetts Institute of Technology^[580]
• 6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology^[581]
• Applied Machine Learning in Python from University of Michigan^[582]
• Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology^[583]
• GT - Refresher - Advanced OS from Georgia Institute of Technology^[584]
• Machine Learning from Georgia Institute of Technology^[585]
• Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology^[586]
• Artificial Intelligence from Georgia Institute of Technology^[587]
• Cyber-Physical Systems Security from Georgia Institute of Technology^[588]
• Network Security from Georgia Institute of Technology^[589]
• Compilers: Theory and Practice from Georgia Institute of Technology^[590]
• Intro to Information Security from Georgia Institute of Technology^[591]
• Machine Learning from Georgia Institute of Technology^[592]
• High Performance Computing from Georgia Institute of Technology^[593]
• Machine Learning from Columbia University^[594]
• NP-Complete Problems from University of California, San Diego^[595]
• Parallel Programming in Java from Rice University^[596]
• Distributed Programming in Java from Rice University^[597]
• Concurrent Programming in Java from Rice University^[598]
• Making Your First Virtual Reality Game from University of London International Programmes^[599]
• Information Security: Context and Introduction from University of London International Programmes^[600]
• Quantum Machine Learning from University of Toronto^[601]
• State Estimation and Localization for Self-Driving Cars from University of Toronto^[602]
• Advanced Modeling for Discrete Optimization from University of Melbourne^[603]
• Solving Algorithms for Discrete Optimization from University of Melbourne^[604]
• Basic Modeling for Discrete Optimization from University of Melbourne^[605]
• Nature, in Code: Biology in JavaScript from École Polytechnique Fédérale de Lausanne^[606]
• MATLAB et Octave pour débutants from École Polytechnique Fédérale de Lausanne^[607]
• Методы и средства защиты информации from Higher School of Economics^[608]
• Addressing Large Hadron Collider Challenges by Machine Learning from Higher School of Economics^[609]
• Practical Reinforcement Learning from Higher School of Economics^[610]
• Менеджмент информационной безопасности from Higher School of Economics^[611]
• Bayesian Methods for Machine Learning from Higher School of Economics^[612]
• Introduction to Formal Concept Analysis from Higher School of Economics^[613]
• Deep Learning in Computer Vision from Higher School of Economics^[614]
• Обработка изображений from Higher School of Economics^[615]
• Introduction to Deep Learning from Higher School of Economics^[616]
• Matrix Factorization and Advanced Techniques from University of Minnesota^[617]
• Introduction to Recommender Systems: Non-Personalized and Content-Based from University of Minnesota^[618]
• Recommender Systems: Evaluation and Metrics from University of Minnesota^[619]
• Modeling and Debugging Embedded Systems from University of Colorado Boulder^[620]
• Embedded Software and Hardware Architecture from University of Colorado Boulder^[621]
• Razonamiento artificial from Universidad Nacional Autónoma de México^[622]
• Sesenta años de inteligencia artificial from Universidad Nacional Autónoma de México^[623]
• 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations from National Taiwan University^[624]
• 人工智慧：搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic) from National Taiwan University^[625]
• 大数据机器学习|Big Data Machine Learning from Tsinghua University^[626]
• Discrete Mathematics from Shanghai Jiao Tong University^[627]
• Introducción a la visión por computador: desarrollo de aplicaciones con OpenCV from Universidad Carlos iii de Madrid^[628]
• System Validation: Automata and behavioural equivalences from EIT Digital^[629]
• Approximation Algorithms from EIT Digital^[630]
• System Validation (4): Modelling Software, Protocols, and other behaviour from EIT Digital^[631]
• Embedded Hardware and Operating Systems from EIT Digital^[632]
• System Validation (3): Requirements by modal formulas from EIT Digital^[633]
• System Validation (2): Model process behaviour from EIT Digital^[634]
• Learn TensorFlow and deep learning, without a Ph.D. from Google^[635]
• Machine Learning Crash Course with TensorFlow APIs from Google^[636]
• DevOps for Databases from Microsoft^[637]
• DevOps Testing from Microsoft^[638]
• Infrastructure as Code from Microsoft^[639]
• Deep Learning Explained from Microsoft^[640]
• Introduction to Artificial Intelligence (AI) from Microsoft^[641]
• DevOps Practices and Principles from Microsoft^[642]
• Sparse Representations in Signal and Image Processing: Fundamentals from Technion - Israel Institute of Technology^[643]
• Sparse Representations in Image Processing: From Theory to Practice from Technion - Israel Institute of Technology^[644]
• Cyber-Physical Systems: Modeling and Simulation from University of California, Santa Cruz^[645]
• Statistical Machine Learning from Carnegie Mellon University^[646]
• Cryptography and Information Theory from University of Colorado System^[647]
• Classical Cryptosystems and Core Concepts from University of Colorado System^[648]
• Cryptographic Hash and Integrity Protection from University of Colorado System^[649]
• Introduction to OpenStack from Linux Foundation^[650]
• Introduction to Cloud Foundry and Cloud Native Software Architecture from Linux Foundation^[651]
• An Introduction to Hyperledger Blockchain Technologies from Linux Foundation^[652]
• Approximation Algorithms Part II from École normale supérieure^[653]
• Mathematics for Machine Learning: PCA from Imperial College London^[654]
• Reliable Distributed Algorithms, Part 2 from KTH Royal Institute of Technology^[655]
• Mathematics for Machine Learning: Multivariate Calculus from Imperial College London^[656]
• Mathematics for Machine Learning: Linear Algebra from Imperial College London^[657]
• Multi-Object Tracking for Automotive Systems from Chalmers University of Technology^[658]
• Computer System Design: Advanced Concepts of Modern Microprocessors from Chalmers University of Technology^[659]
• Reinforcement Learning in Finance from New York University (NYU)^[660]
• Deep Learning with Tensorflow from IBM^[661]
• Deep Learning with Python and PyTorch from IBM^[662]
• Deep Learning for Natural Language Processing from University of Oxford^[663]
• Cutting Edge Deep Learning For Coders, Part 2 from fast.ai^[664]
• Introduction to Machine Learning for Coders! from fast.ai^[665]
• Cloud Computing Security from University System of Maryland^[666]
• Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from deeplearning.ai^[667]
• Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery from (ISC)²^[668]
• Networks and Communications Security from (ISC)²^[669]
• Big Data Applications: Machine Learning at Scale from Yandex^[670]
• Security Operations and Administration from (ISC)²^[671]
• Convolutional Neural Networks in TensorFlow from deeplearning.ai^[672]
• Access Controls from (ISC)²^[673]
• Continuous Integration and Deployment^[674]
• Deep Learning Summer School^[675]
• Systems and Application Security from (ISC)²^[676]