Difference between revisions of "AI Education and Training"
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Revision as of 18:17, 13 June 2022
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.
Educator Programs
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 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.