Difference between revisions of "AI Education and Training"

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[[Category:Essentials]]
 
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= Practicum AI =
 
= Practicum AI =
https://practicumai.org
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[https://practicumai.org Practicum AI], an AI training program developed by Research Computing Training team, is a hands-on applied AI curriculum intended for students with limited coding and math background. Using hands-on exercises and graphically based, conceptual content, our hope is to support learners who seek to begin applied AI research.
  
= [https://www.nvidia.com/en-us/training/ NVIDIA Deep Learning Institute (DLI)] =
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= NVIDIA Deep Learning Institute (DLI) =
Nvidia DLI provides a variety of online education and training materials in AI, accelerated computing, and accelerated data science for developers, data science researchers, students, and educators.  
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[https://www.nvidia.com/en-us/training/ Nvidia DLI] provides a variety of online education and training materials in AI, accelerated computing, and accelerated data science for developers, data science researchers, students, and educators.  
  
 
== [https://www.nvidia.com/en-us/training/online/ Online Courses] ==
 
== [https://www.nvidia.com/en-us/training/online/ Online Courses] ==
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== [https://www.nvidia.com/en-us/training/educator-programs/ Educator Programs] ==
 
== [https://www.nvidia.com/en-us/training/educator-programs/ Educator Programs] ==
=== [https://developer.nvidia.com/teaching-kits Free Teaching Kits] ===
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=== [https://developer.nvidia.com/teaching-kits NVIDIA DLI Free Teaching Kits] ===
 
DLI Teaching Kits are co-developed by university professors/educators, industrial partners, and Nvidia engineers and scientists. The teaching kits come with lecture materials and hands-on exercises, quiz and exam sets. They can be used as they are or be integrated into teaching curriculums. The qualified educators applied for the teaching kits also receive the course code for online courses.  
 
DLI Teaching Kits are co-developed by university professors/educators, industrial partners, and Nvidia engineers and scientists. The teaching kits come with lecture materials and hands-on exercises, quiz and exam sets. They can be used as they are or be integrated into teaching curriculums. The qualified educators applied for the teaching kits also receive the course code for online courses.  
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=== [https://developer.nvidia.com/teaching-kits DLI Ambassador Program] ===
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=== [https://www.nvidia.com/en-gb/training/educator-programs/university-ambassador-program/ NVIDIA DLI Ambassador Program] ===
 
The DLI Ambassador Program is designed for qualified university educator to be certified as DLI Instructors to deliver free DLI workshops at university campuses. Through the campus workshops, the students and staff can obtain the course certifications and add them on their resumes.  
 
The DLI Ambassador Program is designed for qualified university educator to be certified as DLI Instructors to deliver free DLI workshops at university campuses. Through the campus workshops, the students and staff can obtain the course certifications and add them on their resumes.  
 
The program and application are free.
 
The program and application are free.
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= Coursera AI Courses =
 
= Coursera AI Courses =
  
 
Coursera offers a plethora of online course on a variety of AI topics. The following are popular machine learning and deep learning courses at introductory level.  
 
Coursera offers a plethora of online course on a variety of AI topics. The following are popular machine learning and deep learning courses at introductory level.  
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=== [https://www.coursera.org/specializations/deep-learning Deep Learning] ===
 
=== [https://www.coursera.org/specializations/deep-learning Deep Learning] ===
 
* Deep Learning five course series:
 
* Deep Learning five course series:
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* Convolutional Neural Networks (CNN)
 
* Convolutional Neural Networks (CNN)
 
* Sequence Models
 
* Sequence Models
 
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=== [https://www.coursera.org/learn/machine-learning Machine Learning] ===
 
=== [https://www.coursera.org/learn/machine-learning Machine Learning] ===
 
This course gives a broad introduction to machine learning, data mining and pattern recognition
 
This course gives a broad introduction to machine learning, data mining and pattern recognition
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* Build Better GANs
 
* Build Better GANs
 
* Apply GANs
 
* Apply GANs
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= MathWorks =
 
= MathWorks =

Latest revision as of 16:29, 24 May 2024

Practicum AI

Practicum AI, an AI training program developed by Research Computing Training team, is a hands-on applied AI curriculum intended for students with limited coding and math background. Using hands-on exercises and graphically based, conceptual content, our hope is to support learners who seek to begin applied AI research.

NVIDIA Deep Learning Institute (DLI)

Nvidia DLI provides a variety of online education and training materials in AI, accelerated computing, and accelerated data science for developers, data science researchers, students, and educators.

Online Courses

The self-paced and hands-on online courses covers many AI topics. The education institutions can request a course code to cover the cost for up to 200 people.

HiPerGator users may contact IT-RC-AI@UFL.EDU for a promo code to take the online classes for free.

Educator Programs

NVIDIA DLI Free Teaching Kits

DLI Teaching Kits are co-developed by university professors/educators, industrial partners, and Nvidia engineers and scientists. The teaching kits come with lecture materials and hands-on exercises, quiz and exam sets. They can be used as they are or be integrated into teaching curriculums. The qualified educators applied for the teaching kits also receive the course code for online courses.

NVIDIA DLI Ambassador Program

The DLI Ambassador Program is designed for qualified university educator to be certified as DLI Instructors to deliver free DLI workshops at university campuses. Through the campus workshops, the students and staff can obtain the course certifications and add them on their resumes. The program and application are free.

Coursera AI Courses

Coursera offers a plethora of online course on a variety of AI topics. The following are popular machine learning and deep learning courses at introductory level.

Deep Learning

  • Deep Learning five course series:
  • Neural Networks and Deep Learning (DL)
  • Improving DL Networks: hyper-parameter tuning, regularization and optimization
  • Structuring machine learning projects
  • Convolutional Neural Networks (CNN)
  • Sequence Models

Machine Learning

This course gives a broad introduction to machine learning, data mining and pattern recognition

Generative Adversarial Networks

Three courses on GANs techniques

  • Build Basic Generative Adversarial Networks (GANs)
  • Build Better GANs
  • Apply GANs

MathWorks

MathWorks provides courses on machine learning and deep learning using MATLAB.