AI For Beginners | 12 Weeks, 24 Lessons, AI For All!

Mr.Brilliant · October 27

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Artificial Intelligence for Beginners - A Curriculum

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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

What you will learn

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In this curriculum, you will learn:

Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning (
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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 -
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and
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Neural Architectures for working with images and text. We will cover recent models but may be a bit lacking in the state-of-the-art.
Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.

What we will not cover in this curriculum:

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Business cases of using AI in Business. Consider taking
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learning path on Microsoft Learn, or
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, developed in cooperation with
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Classic Machine Learning, which is well described in our
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Practical AI applications built using

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. For this, we recommend that you start with modules Microsoft Learn for
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,
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,

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and others.
Specific ML Cloud Frameworks, such as
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,
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, or
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. Consider using
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and
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learning paths.
Conversational AI and Chat Bots. There is a separate
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learning path, and you can also refer to
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for more detail.
Deep Mathematics behind deep learning. For this, we would recommend
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by Ian Goodfellow, Yoshua Bengio and Aaron Courville, which is also available online at
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.

For a gentle introduction to AI in the Cloud topics you may consider taking the

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Learning Path.

Content

Each lesson contains

Pre-reading material
Executable Jupyter Notebooks, which are often specific to the framework (PyTorch or TensorFlow). The executable notebook also contains a lot of theoretical material, so to understand the topic you need to go through at least one version of the notebook (either PyTorch or TensorFlow).
Labs available for some topics, which give you an opportunity to try applying the material you have learned to a specific problem.
Some sections contain links to
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modules that cover related topics.

Getting Started

We have created a
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to help you with setting up your development environment. - For Educators, we have created a
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for you too!
How to
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Don't forget to star () this repo to find it easier later.

Meet other Learners

Join our

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to meet and network with other learners taking this course and get support.

Quizzes

A note about quizzes: All quizzes are contained in the Quiz-app folder in etc\quiz-app, They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the quiz-app folder. They are gradually being localized.

Help Wanted

Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request.

Special Thanks

Primary Author:
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, PhD
Editor:
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, PhD
Sketchnote illustrator:
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Quiz Creator:
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Core Contributors:
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Other Curricula

Our team produces other curricula! Check out:

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GitHub

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ENJOY & HAPPY LEARNING!

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AI For Beginners | 12 Weeks, 24 Lessons, AI For All!

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Mr.Brilliant 27

Artificial Intelligence for Beginners - A Curriculum

What you will learn

Content

Each lesson contains

Getting Started

Meet other Learners

Quizzes

Help Wanted

Special Thanks

Other Curricula

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