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Explore the world of Artificial Intelligence (AI) with our 12-week, 24-lesson curriculum! It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI.
Sep 18, 2024 · Dive into AI with our Artificial Intelligence Tutorial, designed for all levels. Learn about machine learning, neural networks, and their applications. Ideal for those eager to understand AI's impact and potential in solving complex challenges.
Apr 5, 2024 · DeepLearning.AI’s AI For Everyone, taught by top instructor Andrew Ng, provides an excellent introduction. In just 10 hours or less, you can learn the fundamentals of AI, how it exists in society, and how to build it in your company.
- Artificial Intelligence for Beginners - A Curriculum
- Announcement - New Curriculum on Generative AI was just released!
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- Getting Started
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Explore the world of Artificial Intelligence (AI) with Microsoft's 12-week, 24-lesson curriculum! Dive into Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, and more. Hands-on lessons, quizzes, and labs enhance your learning. Perfect for beginners, this comprehensive guide, designed by experts, covers TensorFlow, PyTorch, and ethical AI principles. Start your AI journey today!"
In this curriculum, you will learn:
•Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning (GOFAI).
•Neural Networks and Deep Learning, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - TensorFlow and PyTorch.
•Neural Architectures for working with images and text. We will cover recent models but may lack a little bit on the state-of-the-art.
•Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.
We just released a 12 lesson curriculum on generative AI. Come learn things like:
•prompting and prompt engineering
•text and image app generation
•search apps
As usual, there's a lesson, assignments to complete, knowledge checks and challenges.
Check it out:
Get started with the following resources:
•Student Hub page In this page, you will find beginner resources, Student packs and even ways to get a free cert voucher. This is one page you want to bookmark and check from time to time as we switch out content at least monthly.
Students, there are a couple of ways to use the curriculum. First of all, you can just read the text and look through the code directly on GitHub. If you want to run the code in any of the notebook - read our instructions, and find more advice on how to do it in this blog post.
However, if you would like to take the course as a self-study project, we suggest that you fork the entire repo to your own GitHub account and complete the exercises on your own or with a group:
•Start with a pre-lecture quiz.
•Read the intro text for the lecture.
•If the lecture has additional notebooks, go through them, reading and executing the code. If both TensorFlow and PyTorch notebooks are provided, you can focus on one of them - choose your favorite framework.
•Notebooks often contain some of the challenges that require you to tweak the code a little bit to experiment.
✍️ Primary Author: Dmitry Soshnikov, PhD
🔥 Editor: Jen Looper, PhD
🎨 Sketchnote illustrator: Tomomi Imura
✅ Quiz Creator: Lateefah Bello, MLSA
We have chosen two pedagogical tenets while building this curriculum: ensuring that it is hands-on project-based and that it includes frequent quizzes.
By ensuring that the content aligns with projects, the process is made more engaging for students and retention of concepts will be augmented. In addition, a low-stakes quiz before a class sets the intention of the student towards learning a topic, while a second quiz after class ensures further retention. This curriculum was designed to be flexible and fun and can be taken in whole or in part. The projects start small and become increasingly complex by the end of the 12 week cycle.
You can run this documentation offline by using Docsify. Fork this repo, install Docsify on your local machine, and then in the etc/docsify folder of this repo, type docsify serve. The website will be served on port 3000 on your localhost: localhost:3000. A pdf of the curriculum is available at this link.
Would you like to contribute a translation? Please read our translation guidelines.
This artificial intelligence basics program is designed to offer an overview of AI concepts & workflows, along with the fundamentals of machine learning and deep learning. Learn AI along by working on specific use cases & learn the difference between supervised, unsupervised, & reinforcement learning.
- Free
- Professionals and students interested in learning Artificial Intelligence basics should have an understanding of the fundamentals of Python program...
- Beginners who want to learn Artificial Intelligence can start with the basics of Artificial Intelligence and fundamentals of machine learning and d...
- This free Introduction to Artificial Intelligence course consists of 2 hours of comprehensive video modules that aim to help you learn the basics o...
- It is recommended that you always start with the basics of Artificial Intelligence. Once done, you can move to learning Data Science with Python.
- The videos that you find as a part of this free Introduction to Artificial Intelligence course are created by mentors who are well-versed in AI, wi...
- The basics covered in this Introduction to Artificial Intelligence course include AI concepts & workflows, along with the fundamentals of machine l...
- Artificial Intelligence (AI) is probably the most important emerging area in the tech world in the past few years. Basically, AI is the ability of...
- Today everyone starting from journalists to scientists are talking about AI. This rise in the popularity of AI has been because of the fact that AI...
- Yes, you can complete this free AI course within 90 days.
- If you finish any free course on SkillUp within 90 days from the date of enrollment, you are eligible to receive a Course Completion Certificate fo...
A free online introduction to artificial intelligence for non-experts. Learn more about MinnaLearn's and the University of Helsinki's AI course - no programming or complicated math required.
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Jun 19, 2024 · AI (Artificial Intelligence) is a machine’s ability to perform cognitive functions as humans do, such as perceiving, learning, reasoning, and solving problems. In this artificial intelligence tutorial for beginners, you will learn some basics of artificial inelegance, like definitions, types, divisions, applications, and challenges. What is AI?
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related to: what's in this ai tutorial freeLearn How to Use Generative AI on the Databricks Data Intelligence Platform. Free Course. Advance Your Career by Learning Generative AI Basics. Get Started with 5 Short Videos.
Unlock New Career Possibilities With This AI Certification. Refresh Your AWS Knowledge and Skills to Become an AWS Certified Practitioner.
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AI is here to stay. Learn to harness it with Cornell's AI-focused online certificates. Why wait? Enroll in one of Cornell University's 5+ online AI certificate programs.
