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Our new curriculum modules focus on the ethics of AI, examine issues of bias, and explore and explain core concepts through various online and wireless activities and full group discussions.
How To Learn Artificial Intelligence Programming
AI and Machine Learning impact our entire world, changing the way we live and work. That’s why it’s so important that we all understand this increasingly important technology, including not just how it’s designed and implemented, but also its social and ethical implications.
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Join us as we explore AI in a new video series, train AI for oceans in over 25 languages, discuss ethics, and much more!
AI assistance for oceans A.I. clean up the ocean by training it to detect garbage! Learn about data and training biases and how AI can solve the world’s problems. See lesson plans. try activities
How AI Works Learn about how AI works and why it matters with this series of short videos. Featuring Microsoft CEO Satya Nadella and a host of experts. Watch the video
How Are Ai, Machine Learning, Deep Learning & Data Science Related?
AI and Ethics Students reflect on the ethical implications of AI, then work together to create an “AI Ethics” resource for AI creators and policymakers everywhere. View Lesson Plans
Thanks to Microsoft for supporting our vision and mission to ensure that every child has the opportunity to learn computer science and the skills to succeed in the 21st century.
The AI and Machine Learning Module is an approximately five-week curricular module that can be taught as a stand-alone module or as an optional unit in CS Discoveries. It focuses on the ethics of AI, examines issues of bias, and explores and explains core concepts.
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Because machine learning relies on large datasets, the new unit includes real-life datasets on healthcare, demographics and more to engage students while exploring questions such as “What problems can machine learning help solve? ” “How can AI help society?” “Who benefits from AI?” “Who is harmed?” “Who was involved?” “Who was?”
Ethical considerations will be at the forefront of these discussions, with frequent talking points and lessons about the impact of this technology. This will help students develop a holistic and thoughtful understanding of this technology while learning the technical fundamentals of how the technology works.
With an introduction from Microsoft CEO Satya Nadella, this series of short videos will introduce you to how artificial intelligence works and why it matters. Learn about neural networks or how AI learns, and investigate issues such as algorithmic bias and the ethics of AI decision-making.
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Go deeper with some of our favorite AI experts! This panel discussion touched on important issues like algorithmic bias and the future of work. Combine it with our AI and Ethics lesson plan for a great introduction to the ethics of artificial intelligence!
Resources to inspire students to think deeply about the role of computer science in creating a more just and sustainable world.
This global AI for Good challenge introduces students to Microsoft’s AI for Good initiative, empowering them to solve the world’s problems with the power of AI.
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Think of a person, even from a book or movie, and the app will guess who you’re thinking of by asking a question.
An online game where you use machine learning to help screen candidates for job interviews. In the process, you discover how bias can creep into AI applications and see the impact it has on the people involved.
Access free resources including lesson plans, videos, computer science curricula, and teacher training. (Requires Minecraft: Education Edition)
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Train machine learning models with text, numbers or images and use them to create games in Scratch.
Introduction to AI is a free, innovative and culturally relevant curriculum in which students develop conceptual knowledge about what AI is and how it is used in the real world.
Adaptable interdisciplinary curriculum to support teachers and high school students in learning AI. Also included is the ‘Bytes of AI’ series, which are smaller lessons that can be integrated into any lesson.
The Complete Python And Machine Learning For Everybody 2.0 By Mammoth Interactive — Kickstarter
Project-based curriculum on creating interactive, motion-focused AI projects. All projects completed in Scratch use new AI blocks to detect body and facial movements.
An individualized, beginner-friendly introduction to AI designed for high school students. Students learn the basics of AI and earn a badge at the end of the course.
A collection of resources for teaching AI in the classroom for all grade levels. Includes links to projects and activities, as well as teacher professional development.
Artificial Intelligence And Machine Learning
A list of AI4K12 Working Group resources for teachers interested in implementing AI in their classrooms.
Levels 2-4 use the trained model provided by the TensorFlow MobileNet project. The MobileNet model is a convolutional neural network that was trained on ImageNet, a dataset containing over 14 million images annotated with words like “balloon” or “strawberry”. To adapt this model to the labeled training data that students generate in this activity, we use a technique called Transfer Learning. Each image in the training dataset is fed to MobileNet, as pixels, to get a list of the most likely annotations applied to it. Then, for the new images, we feed them into MobileNet and compare the generated annotation lists with the annotation lists from the training dataset. We classify new images with the same label (such as “fish” or “non-fish”) as images from the training set with the most similar results.
Levels 6-8 use a Support Vector Machine (SVM). We look at each component of the fish (such as eyes, mouth, body) and aggregate all the metadata for that component (such as number of teeth, body shape) into a vector of numbers for each fish. We use these vectors to train the SVM. Based on the training data, SVM separates the “room” of all possible fish into two parts, which correspond to the class we are trying to study (such as “blue” or “not blue”). Advantages and Disadvantages of Artificial IntelligenceArticle AI Engineer Salary 2023: US, India, Canada & More Article Introduction to machine learning: A beginner’s guide Top 5 AI ebook jobs and key skills needed to help you get a webinar Article cover: How to develop a career in machine learning How to become an artificial intelligence engineer? Video tutorials Top 10 machine learning algorithms Top things you need to know in 2023 Articles Top 10 machine learning projects and ideas Articles How to apply machine learning to business, engineering and science with MIT xPRO webinar Keras vs Tensorflow vs Pytorch: Understanding the most popular articles on deep learning frameworks
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Artificial Intelligence Career Guide: A Comprehensive Guide to Becoming an AI Expert By Nikita Duggal Last updated on Jul 30, 202210076
The term AI was coined in 1956, has come a long way since then, and is becoming more popular today. Here’s to all the massive amounts of data, advanced algorithms, and improvements in compute and storage capabilities. The growth of AI and machine learning has increased the demand for talented minds to help solve pressing business challenges faster and better. The AI job market is growing and is expected to exceed $191 billion by 2024 globally, and AI is expected to create over 2 million jobs across multiple industries. With an attractive salary, investing in improving your own skills in the field and understanding the proper AI learning path is certainly a smart move to make.
The growth of AI has increased the demand for talented people to help solve business challenges faster and better. However, quitting a full-time job to go back to school is unrealistic for most people, and here comes the role. With our highly detailed syllabus, you’ll master everything you need to know to excel in this growing field.
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Our Artificial Intelligence Career Guide will provide you with information on the most popular technologies, the top companies hiring, the skills you need to start your career in the growing field of AI and offer you a personalized AI learning path to become an AI successful AI specialist.
Download the Artificial Intelligence Career Guide to understand the AI learning path and get a peek into the world that awaits you.
As the demand for technologies like AI and machine learning increases, organizations need professionals with in-depth knowledge of these evolving technologies and hands-on experience. Considering the inherent needs, we have launched a Graduate Program in AI and Machine Learning with Purdue University in collaboration with IBM and MS In Artificial Intelligence in collaboration with IU Germany, which will help you gain experience in a wide range of Python industrial skills and technologies, NLP, speech recognition, for advanced deep learning. This postgraduate program will help you stand out from the crowd, learn the right AI learning paths, and advance your AI, machine learning, and deep learning skills.
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Nikita Duggal is a passionate digital marketer with a major in English Language and Literature, a wordsmith who enjoys writing about high tech, digital marketing and professional dilemmas. AI Blog and Machine Learning Artificial Intelligence Tutorials for Beginners in 2023 | Learn AI tutorials from experts
This Artificial Intelligence tutorial provides basic and intermediate information about the concept
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