Бесплатные онлайн курсы по программированию и информатике, которые вы можете начать в апреле
Coding
Сложный (Senior)
- [New] Multi-Object Tracking for Automotive Systems from Chalmers University of Technology
- [New] Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from deeplearning.ai
- Machine Learning for Data Science and Analytics from Columbia University ★★★☆☆
- Intro to Deep Learning from Google ★★☆☆☆(
- Creative Applications of Deep Learning with TensorFlow
- Machine Learning for Trading from Georgia Institute of Technology ★★★☆☆
- Introduction to Artificial Intelligence from Stanford University ★★★★★
- Computational Neuroscience from University of Washington ★★★★☆
- Reinforcement Learning from Brown University ★★☆☆☆
- Intro to Parallel Programming from Nvidia ★★★★☆
- Advanced Operating Systems from Georgia Institute of Technology ★★★★★
- Introduction to Computer Vision from Georgia Institute of Technology ★★★★★
- Enabling Technologies for Data Science and Analytics: The Internet of Things from Columbia University ★☆☆☆☆
- Interactive 3D Graphics from Autodesk ★★★★★
- Machine Learning from Georgia Institute of Technology ★★★★★
- Applied Cryptography from University of Virginia ★★★★☆
- Introduction to Computer Architecture from Carnegie Mellon University ★★★★★
- Probabilistic Graphical Models 2: Inference from Stanford University ★★★★☆
- Quantitative Formal Modeling and Worst-Case Performance Analysis from EIT Digital ★★★☆☆
- Nearest Neighbor Collaborative Filtering from University of Minnesota ★★☆☆☆
- Computability, Complexity & Algorithms from Georgia Institute of Technology ★★★★★
- Introduction to Operating Systems from Georgia Institute of Technology ★★★★★
- Computational Photography from Georgia Institute of Technology ★★★★☆
- High Performance Computer Architecture from Georgia Institute of Technology ★★★★★
- Artificial Intelligence (AI) from Columbia University ★☆☆☆☆
- Practical Deep Learning For Coders, Part 1 from fast.ai ★★★★★
- Real-Time Audio Signal Processing in Faust from Stanford University
- 6.S191: Introduction to Deep Learning from Massachusetts Institute of Technology
- Computation Structures 3: Computer Organization from Massachusetts Institute of Technology
- 6.S094: Deep Learning for Self-Driving Cars from Massachusetts Institute of Technology
- Applied Machine Learning in Python from University of Michigan
- Machine Learning from Georgia Institute of Technology
- Cyber-Physical Systems Design & Analysis from Georgia Institute of Technology
- Machine Learning from Georgia Institute of Technology
- Network Security from Georgia Institute of Technology
- Intro to Information Security from Georgia Institute of Technology
- Knowledge-Based AI: Cognitive Systems from Georgia Institute of Technology
- GT — Refresher — Advanced OS from Georgia Institute of Technology
- Cyber-Physical Systems Security from Georgia Institute of Technology
- Artificial Intelligence from Georgia Institute of Technology
- High Performance Computing from Georgia Institute of Technology
- Compilers: Theory and Practice from Georgia Institute of Technology
- Machine Learning from Columbia University
- NP-Complete Problems from University of California, San Diego
- Information Security: Context and Introduction from University of London International Programmes
- State Estimation and Localization for Self-Driving Cars from University of Toronto
- Advanced Modeling for Discrete Optimization from University of Melbourne
- Basic Modeling for Discrete Optimization from University of Melbourne
- Менеджмент информационной безопасности from Higher School of Economics
- Методы и средства защиты информации from Higher School of Economics
- Обработка изображений from Higher School of Economics
- Addressing Large Hadron Collider Challenges by Machine Learning from Higher School of Economics
- Practical Reinforcement Learning from Higher School of Economics
- Matrix Factorization and Advanced Techniques from University of Minnesota
- Python and Statistics for Financial Analysis from The Hong Kong University of Science and Technology
- Modeling and Debugging Embedded Systems from University of Colorado Boulder
- Embedded Software and Hardware Architecture from University of Colorado Boulder
- Razonamiento artificial from Universidad Nacional Autónoma de México
- System Validation (4): Modelling Software, Protocols, and other behaviour from EIT Digital
- System Validation: Automata and behavioural equivalences from EIT Digital
- Approximation Algorithms from EIT Digital
- System Validation (2): Model process behaviour from EIT Digital
- Embedded Hardware and Operating Systems from EIT Digital
- Machine Learning Crash Course with TensorFlow APIs from Google
- Learn TensorFlow and deep learning, without a Ph.D. from Google
- Deep Learning Explained from Microsoft
- DevOps for Databases from Microsoft
- DevOps Testing from Microsoft
- Infrastructure as Code from Microsoft
- DevOps Practices and Principles from Microsoft
- Introduction to Artificial Intelligence (AI) from Microsoft
- Advanced C++ from Microsoft
- Sparse Representations in Signal and Image Processing: Fundamentals from Technion — Israel Institute of Technology
- Sparse Representations in Image Processing: From Theory to Practice from Technion — Israel Institute of Technology
- Cyber-Physical Systems: Modeling and Simulation from University of California, Santa Cruz
- Statistical Machine Learning from Carnegie Mellon University
- Blockchain for Business — An Introduction to Hyperledger Technologies from Linux Foundation
- Introduction to OpenStack from Linux Foundation
- Introduction to Cloud Foundry and Cloud Native Software Architecture from Linux Foundation
- Reliable Distributed Algorithms, Part 2 from KTH Royal Institute of Technology
- Mathematics for Machine Learning: PCA from Imperial College London
- Computer System Design: Advanced Concepts of Modern Microprocessors from Chalmers University of Technology
- Deep Learning with Tensorflow from IBM
- Reinforcement Learning in Finance from New York University (NYU)
- Deep Learning with Python and PyTorch from IBM
- Deep Learning for Natural Language Processing from University of Oxford
- Cutting Edge Deep Learning For Coders, Part 2 from fast.ai
- Cloud Computing Security from University System of Maryland
- Introduction to Machine Learning for Coders! from fast.ai
- Systems and Application Security from (ISC)²
- Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery from (ISC)²
- Security Operations and Administration from (ISC)²
- Networks and Communications Security from (ISC)²
- Continuous Integration and Deployment
- Access Controls from (ISC)²
- Deep Learning Summer School
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