PyTorch and Deep Learning for Decision Makers
Learn how PyTorch, a deep learning framework, can be used to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will also help you understand the importance of data quality, how to choose the right model, and the challenges in deploying and maintaining both deep learning and machine learning applications.
Who Is It For :
This course targets technical and non-technical individuals interested in understanding how deep learning and PyTorch can be used to create business value through the development and deployment of AI applications.
What You’ll Learn :
This course introduces you to PyTorch, one of the most popular deep learning frameworks, revealing how it can be used in your company to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will help you identify the most common use cases of AI in the industry and how PyTorch’s ecosystem and the commoditization of deep learning models can help you integrate them into your business. You will also learn why ensuring data quality is critical for the successful deployment of AI applications, and why getting the right data should be the top priority for any AI project. The course will discuss several trade-offs involved in choosing the appropriate model for the task at hand: build vs. buy, black vs. white box, and the risk and cost of delivering wrong predictions. Finally, the course will discuss what happens after an AI application is deployed, addressing topics such as the inherent limitations of AI models, the mitigation of risks and vulnerabilities, and the challenge of data privacy.
What It Prepares You For :
This course provides an overview of the AI landscape, focusing on PyTorch’s ecosystem, while giving you a solid understanding of AI’s current capabilities. This course will help you make informed decisions about the development and maintenance of AI projects while taking in consideration key aspects related to data quality, model performance, and security.
Testimonials
- Online, Self Paced
- 3-4 Hours of Course Material
- Optional Paid Certificate of Completion
- 7 Weeks of Free Access to Online Course (Audit Mode)
- Graded Quizzes (for paid certificate only)
- Discussion Forums
Details
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Schedules
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PyTorch and Deep Learning for Decision Makers
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