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An AI-Generated Curriculum for Designers to Staying Current on AI and ML
An AI-Generated Curriculum for Designers to Staying Current on AI and ML - Flow Card Image

Christopher gets frequently asked what they need to know about AI to stay relevant in their field. AI Chris wrote a free curriculum for designers to learn about AI/ML systems.

The curriculum includes keeping up-to-date with the latest advancements in AI and ML through online courses, research papers, and workshops. The curriculum also emphasizes the need to continuously work on personal projects to apply AI concepts in creative ways. By following the AI-generated curriculum, a novice designer can gain a good understanding of AI/ML systems and the ability to apply it to creative endeavors.

Following is the list:

Introduction to AI and ML
Understanding the basics of AI and ML, including supervised and unsupervised learning, and the difference between them.
Reference URL: https://lnkd.in/e6HnM7wP
Glossary of terms - Machine Learning
Reference URL: https://lnkd.in/eDjJJ-WT

Data Pre-processing and Exploration
Importance of data preparation and exploration for AI models
Techniques for data cleaning, normalization, and transformation
Reference URL: https://lnkd.in/eASrVPzt

Fundamental Algorithms
Study common algorithms such as linear regression, logistic regression, decision trees, and random forests.
Reference URL: https://lnkd.in/eFmiRDTS
https://lnkd.in/eTUBN7gb

Deep Learning
Understanding the concepts of Neural Networks and Deep Learning.
Familiarize yourself with common architectures like Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN).
Reference URL: https://lnkd.in/e_Mv5uFk

Implementing AI models
Learn to use popular AI frameworks such as TensorFlow and PyTorch to implement AI models
Hands-on projects to reinforce the understanding of AI concepts
Reference URL: https://lnkd.in/e7NSe28y

Creative Applications of AI
Study the use of AI in creative fields such as art, music, and design.
Reference URL: https://lnkd.in/eDdYkmMF
https://lnkd.in/e2BgUd-y
https://lnkd.in/eJ6ZVtt5
https://lnkd.in/edGTDubG

Categories : Computer Science . Machine Learning

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