Course Description

Embark on an exciting journey into the world of artificial intelligence with our comprehensive course, "AI Applications with PyTorch: From Development to Deployment." This course is designed to introduce you to PyTorch, one of the most powerful and popular deep learning frameworks in the industry today. You'll discover how PyTorch can be leveraged to revolutionize your company's processes through the development and deployment of cutting-edge AI applications.

What students will learn from the course:

• Identify common AI use cases across various industries
• Understand PyTorch's role and importance in the current AI landscape
• Recognize the critical importance of data quality in AI model performance
• Evaluate trade-offs in developing or purchasing AI models and applications
• Identify challenges and risks in AI application deployment, including biases, attacks, and privacy issues
• Gain insights into PyTorch's ecosystem and its potential for business integration
• Understand the commoditization of deep learning models and their business applications
• Learn about post-deployment considerations, including model limitations and risk mitigation

Pre-requisite or skills necessary to complete the course:

This course is designed for both technical and non-technical individuals, and there are no specific prerequisites. A general interest in AI and its business applications is all you need to get started.

What the course will cover:

• Introduction to PyTorch and its capabilities
• AI use cases across various industries
• The importance of data quality in AI projects
• Build vs. buy decisions for AI models
• Black box vs. white box model considerations
• Risk and cost assessment of AI predictions
• Post-deployment challenges and considerations
• AI model limitations and risk mitigation strategies
• Data privacy concerns in AI applications

Who this course is for:

This course is ideal for:

• Business professionals looking to understand AI's potential in their industry
• Technical individuals interested in learning about PyTorch and its applications
• Decision-makers evaluating AI integration in their organizations
• Anyone curious about the current state and future of AI in business

How learners can use these skills in the real world:

The knowledge gained from this course will empower learners to:

• Make informed decisions about AI integration in their organizations
• Evaluate the potential of PyTorch for developing AI solutions
• Understand the critical factors for successful AI project implementation
• Assess and mitigate risks associated with AI deployment
• Develop strategies for ensuring data quality and privacy in AI applications
• Contribute to discussions about AI's role in business optimization

Syllabus:

1. Welcome to LFS116x!
2. Chapter 1: Why PyTorch? AI Applications in the Real World
3. Chapter 2: Take Good C.A.R.E. of Your Data
4. Chapter 3: "All Models are Wrong, but Some are Useful"
5. Chapter 4: Challenges in Deploying and Maintaining Applications
6. Final Exam (Verified Track only)

By the end of this course, you'll have a solid foundation in understanding AI's current capabilities and be well-equipped to make informed decisions about AI project development and maintenance. Don't miss this opportunity to stay ahead in the rapidly evolving world of AI and deep learning with PyTorch!