Edge Computer Vision Course

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Lesson 1: Introduction to Applied Computer Vision

• Overview of Syllabus (30 min)
• Lecture: Computing Trends supporting applied Computer Vision (60 min)

Lesson 2: Emerging Computer Vision Technologies

• Lecture: Emerging Computer Vision Technologies

Lesson 3: AI Computer Vision APIs

• Lecture: Computer Vision APIs

[Project Week]

Lesson 4: AutoML Computer Vision

• Lecture: AutoML
• Ludwig example
• AutoML Tutorial GCP

Lesson 5: Running Computer Vision ML models on the Edge

• Lecture: Edge Computer Vision

Lesson 6: Final Presentations

Additional Resources

GPU References

• NVidia Cuda

Visualization

• Streamlit

AutoML

• Apple Create ML

Additional Related Topics from Noah Gift

His most recent books are:

• Pragmatic A.I.:   An introduction to Cloud-Based Machine Learning (Pearson, 2018)
• Python for DevOps (O'Reilly, 2020). 

His most recent video courses are:

• Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)
• AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)
• Python for Data Science Complete Video Course Video Training (Pearson, 2019)
• AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)
• Building A.I. Applications on Google Cloud Platform (Pearson, 2019)
• Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)
• Data Engineering with Python and AWS Lambda (Pearson, 2019)

His most recent online courses are:

• Microservices with this Udacity DevOps Nanodegree (Udacity, 2019)
• Command Line Automation in Python (DataCamp, 2019)
• AWS Certified Cloud Practitioner 2020-Real World & Pragmatic