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https://github.com/getvmio/free-artificial-intelligence-resources

[Artificial Intelligence Free Resources] This repository collects 48 of free resources for Artificial Intelligence. 🧠 Embark on your Artificial Intelligence journey with GetVM's AI Explorer! This repository is your gateway to cutting-edge AI technologies, featuring a rich collection of free resou...
https://github.com/getvmio/free-artificial-intelligence-resources

List: free-artificial-intelligence-resources

artificial-intelligence awesome-list free-resources getvm playground programming

Last synced: 3 days ago
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Host: GitHub
URL: https://github.com/getvmio/free-artificial-intelligence-resources
Owner: getvmio
Created: 2024-07-01T07:11:15.000Z (5 months ago)
Default Branch: main
Last Pushed: 2024-09-01T02:26:20.000Z (2 months ago)
Last Synced: 2024-09-25T04:01:13.946Z (about 2 months ago)
Topics: artificial-intelligence, awesome-list, free-resources, getvm, playground, programming
Homepage: https://getvm.io/tutorials/category/artificial-intelligence
Size: 9.77 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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free-functional-programming-resources - Free Artificial Intelligence Resources
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free-computer-architecture-resources - Free Artificial Intelligence Resources
free-pytorch-resources - Free Artificial Intelligence Resources
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README

# Artificial Intelligence Free Resources

🧠 Embark on your Artificial Intelligence journey with GetVM's AI Explorer! This repository is your gateway to cutting-edge AI technologies, featuring a rich collection of free resources, online learning tools, and an interactive Playground. Ideal for beginners and experts alike who want to stay at the forefront of AI innovation.

## Resources

| Index | Name | Category | Description |
|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 1 | [The Society of Mind](https://getvm.io/tutorials/6-868j-the-society-of-mind-mit) | University Courses | Dive into the theory that explains how minds are made from simpler processes. Covers topics like vision, language, learning, reasoning, memory, and more. Recommended for those interested in psychology, AI, and computer science. |
| 2 | [Advanced Artificial Intelligence](https://getvm.io/tutorials/cs-6700-advanced-artificial-intelligence-cornell-university) | University Courses | Explore cutting-edge topics in AI, including Watson, human computation, deep learning, and the future of self-driving cars. Ideal for students and professionals seeking the latest AI advancements. |
| 3 | [Computer Vision](https://getvm.io/tutorials/cs-4700-foundations-of-artificial-intelligence-cornell-university) | University Courses | Explore the foundations of computer vision and AI with hands-on projects. Gain practical experience in implementing cutting-edge algorithms for real-world applications. |
| 4 | [Artificial Intelligence](https://getvm.io/tutorials/cs-188-introduction-to-artificial-intelligence-uc-berkeley) | University Courses | Explore the foundations of intelligent computer systems with this comprehensive AI course from UC Berkeley. Build autonomous agents, learn inference techniques, and master machine learning algorithms. |
| 5 | [MIT's Artificial Intelligence Course](https://getvm.io/tutorials/mits-artificial-intelligence) | Video Courses | Comprehensive introduction to fundamental AI concepts, including knowledge representation, problem solving, and learning. Develop intelligent systems and explore the role of AI in understanding human intelligence. |
| 6 | [Introduction to TensorFlow for AI, Machine Learning & Deep Learning](https://getvm.io/tutorials/introduction-to-tensorflow-for-artificial-intelligence-machine-learning-and-deep-learning) | Video Courses | Gain hands-on experience in building neural networks, training them for computer vision, and understanding the use of convolutions to improve model performance. |
| 7 | [Prompt Engineering Guide](https://getvm.io/tutorials/prompt-engineering-guide) | Technical Tutorials | Explore the Prompt Engineering Guide by DAIR.AI, a comprehensive resource covering prompt engineering, large language models, and practical guidance for building effective applications. |
| 8 | [Guide to Prompt Engineering](https://getvm.io/tutorials/guide-to-prompt-engineering) | Technical Tutorials | Comprehensive course on prompt engineering for AI applications like ChatGPT. Covers fundamentals, advanced techniques, and practical strategies to master the art of effective prompting. |
| 9 | [DALL·E 2 Prompt Book](https://getvm.io/tutorials/dalle-e-2-prompt-book) | Technical Tutorials | Explore the innovative AI technology of DALL·E 2 that generates realistic images from textual descriptions, offering insights into creative writing and visual artistry. |
| 10 | [Graduate Artificial Intelligence](https://getvm.io/tutorials/15-780-graduate-artificial-intelligence-spring-14-cmu) | University Courses | Comprehensive coverage of graduate-level artificial intelligence topics, including search, optimization, machine learning, and planning. Recommended for graduate students interested in a thorough introduction to AI. |
| 11 | [Semantic Web Technologies](https://getvm.io/tutorials/semantic-web-technologies-by-dr-harald-sack-hpi) | University Courses | Explore the fundamental concepts and principles of the Semantic Web with this comprehensive course taught by an expert. Gain practical skills in RDF, RDFS, OWL, and SPARQL. |
| 12 | [Knowledge Engineering with Semantic Web Technologies](https://getvm.io/tutorials/knowledge-engineering-with-semantic-web-technologies-by-dr-harald-sack-hpi) | University Courses | Explore the fundamentals of knowledge engineering and the Semantic Web. Learn ontology design, reasoning, and knowledge representation using Semantic Web technologies. |
| 13 | [Artificial Intelligence](https://getvm.io/tutorials/artificial-intelligence-iit-kharagpur) | University Courses | Comprehensive introduction to Artificial Intelligence (AI) fundamentals, techniques, and applications. Taught by experts from prestigious IIT Kharagpur. |
| 14 | [Artificial Intelligence](https://getvm.io/tutorials/artificial-intelligence-iit-madras) | University Courses | Comprehensive introduction to Artificial Intelligence from IIT Madras, covering machine learning, NLP, computer vision, and more. Ideal for students and professionals. |
| 15 | [Artificial Intelligence: Knowledge Representation & Reasoning](https://getvm.io/tutorials/artificial-intelligence-knowledge-representation-and-reasoning-iit-madras) | University Courses | Explore the fundamentals of AI with this in-depth course on knowledge representation and reasoning techniques from IIT Madras experts. |
| 16 | [Artificial Intelligence](https://getvm.io/tutorials/6034-artificial-intelligence-mit-ocw) | University Courses | Explore the core concepts of AI, including search, logic, reasoning, knowledge representation, and machine learning. Hands-on programming assignments and insights from experienced instructors. |
| 17 | [Artificial Intelligence: Principles & Techniques](https://getvm.io/tutorials/cs221-artificial-intelligence-principles-and-techniques-autumn-2019-stanford-university) | University Courses | Comprehensive introduction to AI principles and techniques, taught by experienced Stanford faculty. Hands-on projects and cutting-edge research opportunities. |
| 18 | [Deep Generative Models I](https://getvm.io/tutorials/stanford-cs236-deep-generative-models-i-2023-i-stefano-ermon) | University Courses | Explore the fundamentals of deep generative models, including VAEs, GANs, and flow-based models. Gain hands-on experience and insights into the latest research in this rapidly evolving field. |
| 19 | [Introduction to Artificial Intelligence](https://getvm.io/tutorials/cs322-introduction-to-artificial-intelligence-winter-2012-13-ubc) | University Courses | Explore the fundamental concepts and techniques of artificial intelligence with this comprehensive course from renowned expert Professor Alan K. Mackworth at the University of British Columbia. |
| 20 | [Introduction to Artificial Intelligence](https://getvm.io/tutorials/cs-188-introduction-to-artificial-intelligence-uc-berkeley-spring-2023) | University Courses | Comprehensive course covering fundamental AI concepts and techniques, with hands-on programming assignments and real-world applications. |
| 21 | [Intro to Artificial Intelligence](https://getvm.io/tutorials/mooc-intro-to-artificial-intelligence-udacity) | University Courses | Comprehensive coverage of key AI concepts and techniques, hands-on projects, and experienced instructors from Udacity. Ideal for students, professionals, and AI enthusiasts. |
| 22 | [Artificial Intelligence for Robotics](https://getvm.io/tutorials/mooc-artificial-intelligence-for-robotics-udacity) | University Courses | Learn the fundamentals of AI and its applications in robotics through hands-on projects and expert-led instruction from Udacity. |
| 23 | [Applications of Artificial Intelligence](https://getvm.io/tutorials/cse-592-applications-of-artificial-intelligence-winter-2003-university-of-washington) | University Courses | Comprehensive coverage of fundamental AI concepts and techniques, including search, planning, Bayesian networks, machine learning, and more. Hands-on projects and presentations for practical application. |
| 24 | [Graduate Course in Artificial Intelligence](https://getvm.io/tutorials/graduate-course-in-artificial-intelligence-autumn-2012-university-of-washington) | University Courses | Comprehensive introduction to Artificial Intelligence (AI) covering search algorithms, knowledge representation, machine learning, and natural language processing. Hands-on experience with AI algorithms. |
| 25 | [Deep Learning Applications](https://getvm.io/tutorials/t81-558-applications-of-deep-neural-networks-by-jeff-heaton-2022-washington-university-in-st-louis) | University Courses | Explore the latest advancements in deep learning and its practical applications in computer vision, time series, security, NLP, and data generation. |
| 26 | [Introduction to Artificial Intelligence](https://getvm.io/tutorials/cs-4804-introduction-to-artificial-intelligence-fall-2016) | University Courses | Comprehensive AI course covering search, knowledge representation, reasoning, machine learning, and natural language processing. Hands-on projects and exposure to cutting-edge AI research. |
| 27 | [Introduction to Artificial Intelligence](https://getvm.io/tutorials/cs-5804-introduction-to-artificial-intelligence-spring-2015) | University Courses | Comprehensive AI course covering search, knowledge representation, reasoning, machine learning, and natural language processing. Hands-on experience with cutting-edge AI algorithms and applications. |
| 28 | [Artificial Intelligence](https://getvm.io/tutorials/artificial-intelligence-hochschule-ravensburg-weingarten) | University Courses | Comprehensive overview of AI principles, hands-on experience with algorithms, and insights into the ethical implications of Artificial Intelligence. |
| 29 | [Deep Learning for Artificial Intelligence](https://getvm.io/tutorials/dlai-deep-learning-for-artificial-intelligence-upc-barcelona) | University Courses | Comprehensive course on deep learning principles, techniques, and real-world applications in AI, offered by Universitat Politècnica de Catalunya (UPC) in Barcelona. |
| 30 | [10-601 Machine Learning](https://getvm.io/tutorials/10-601-machine-learning-cmu-fall-2017) | University Courses | Comprehensive introduction to machine learning, covering supervised, unsupervised, neural networks, and reinforcement learning. Taught at prestigious Carnegie Mellon University. |
| 31 | [Introduction to Machine Learning](https://getvm.io/tutorials/10-301601-introduction-to-machine-learning-spring-2020-cmu) | University Courses | Explore the fundamental concepts and algorithms of machine learning with experienced instructors from Carnegie Mellon University. |
| 32 | [Machine Learning](https://getvm.io/tutorials/6036-machine-learning-broderick-mit-fall-2020) | University Courses | Comprehensive introduction to machine learning, covering supervised, unsupervised, neural networks, and deep learning. Taught by experienced MIT instructor. |
| 33 | [MIT 6.036](https://getvm.io/tutorials/mit-6036-introduction-to-machine-learning-spring-2019-by-leslie-kaelbling) | University Courses | Comprehensive coverage of machine learning fundamentals, taught by renowned expert Professor Leslie Kaelbling. Hands-on programming assignments and accessible for students with computer science and mathematics background. |
| 34 | [Undergraduate Machine Learning at UBC 2012](https://getvm.io/tutorials/undergraduate-machine-learning-at-ubc-2012-nando-de-freitas) | University Courses | Comprehensive undergraduate-level machine learning course taught by renowned expert Nando de Freitas at the University of British Columbia in 2012. Covers fundamental concepts and techniques. |
| 35 | [Machine Learning](https://getvm.io/tutorials/cs-229-machine-learning-stanford-university) | University Courses | Comprehensive introduction to machine learning techniques, including supervised, unsupervised, and recent applications. Suitable for students with backgrounds in computer science, probability, and linear algebra. |
| 36 | [Stanford CS229M: Machine Learning Theory](https://getvm.io/tutorials/stanford-cs229m-machine-learning-theory-fall-2021) | University Courses | Dive deep into the theoretical foundations of machine learning with this comprehensive course from renowned experts at Stanford University. |
| 37 | [Probabilistic Graphical Models](https://getvm.io/tutorials/probabilistic-graphical-models-daphne-koller-stanford-university) | University Courses | Learn the principles and applications of probabilistic graphical models, widely used in machine learning and artificial intelligence. |
| 38 | [Reinforcement Learning](https://getvm.io/tutorials/cs234-reinforcement-learning-winter-2019-stanford-university) | University Courses | Comprehensive introduction to reinforcement learning, covering Markov Decision Processes, dynamic programming, and more. Taught by experts at Stanford University. |
| 39 | [Introduction to Machine Learning](https://getvm.io/tutorials/cs-189289a-introduction-to-machine-learning-prof-jonathan-shewchuk-ucberkeley) | University Courses | Learn a wide range of machine learning algorithms, including perceptrons, SVMs, and neural networks, from renowned expert Prof. Jonathan Shewchuk. |
| 40 | [Reinforcement Learning](https://getvm.io/tutorials/reinforcement-learning-ucl) | University Courses | Comprehensive introduction to reinforcement learning concepts, algorithms, and applications. Learn from experts at University College London. |
| 41 | [Introduction to Reinforcement Learning](https://getvm.io/tutorials/introduction-to-reinforcement-learning-ucl) | University Courses | Explore the fundamentals of reinforcement learning, including Markov decision processes, value functions, and policy optimization. Hands-on exercises using OpenAI Gym. |
| 42 | [Machine Learning Course](https://getvm.io/tutorials/cs-446-machine-learning-fall-2016-uiuc) | University Courses | Comprehensive introduction to machine learning algorithms and techniques, taught by experienced instructors from the University of Illinois at Urbana-Champaign. |
| 43 | [Machine Learning Crash Course 2015](https://getvm.io/tutorials/machine-learning-crash-course-2015) | University Courses | Comprehensive machine learning course from MIT experts, covering fundamentals, supervised/unsupervised learning, model selection, and more. Suitable for beginners and experienced learners. |
| 44 | [Machine Learning and Adaptive Intelligence](https://getvm.io/tutorials/com4509com6509-machine-learning-and-adaptive-intelligence-2015-16) | University Courses | Gain a strong foundation in machine learning and artificial intelligence with this comprehensive course covering probability theory, supervised and unsupervised learning, and more. |
| 45 | [Regularization Methods for Machine Learning 2016](https://getvm.io/tutorials/regularization-methods-for-machine-learning-2016) | University Courses | Comprehensive understanding of regularization methods, crucial for high-dimensional learning problems. Suitable for those interested in the latest developments in machine learning and its practical applications. |
| 46 | [Cognitive Robotics](https://getvm.io/tutorials/6834j-cognitive-robotics-mit-ocw) | University Courses | Explore the design and implementation of autonomous robots in complex environments with MIT's Cognitive Robotics course. Gain hands-on programming experience and a strong foundation in this rapidly evolving field. |
| 47 | [Advanced Robotics](https://getvm.io/tutorials/cs-287-advanced-robotics-fall-2011-uc-berkeley) | University Courses | Comprehensive course on cutting-edge robotics techniques, including probabilistic methods, mapping, localization, and optimal control. Suitable for graduate students and advanced undergraduates. |
| 48 | [Introduction to AI and Programming](https://getvm.io/tutorials/rob-102-introduction-to-ai-and-programming-university-of-michigan) | University Courses | Explore autonomous navigation algorithms for mobile robots, including controlling omni-drive robots, processing sensor data, and implementing pathfinding with machine learning. |

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