Introduction to Vision AI

🚀 Course Title: Introduction to Vision AI

🎓 Headline: Understand Vision AI Concepts, Technologies, Use Cases, and Solution Components

About This Course:

Welcome to the "Introduction to Vision AI" course, where we dive into the fascinating world of Artificial Intelligence (AI) through the lens of computer vision! 🌐✨ This comprehensive course is designed to equip you with a foundational understanding of Vision AI and its applications across various industries. By completing this course, you will gain clarity on how Vision AI works, the technologies that power it, and real-world use cases that demonstrate its potential.

Key Objectives:

• Describe Vision AI Experience: Gain insights into what Vision AI entails and its transformative impact on processing visual data.
  • Library containing many real and hypothetical use cases of Vision AI.
  • Explain Vision AI experience using 2 Vision AI case studies.
  • Understand components of a Vision AI solution.

Course Structure:

1. Introduction to the Course:

   • Course Outline
   • Target Audience
   • Expected Outcomes
   • Authors and Contributors

2. Understanding Vision AI:

   • What is Vision AI and its applications?
   • Key concepts behind Vision AI and its 5 complexity levels.

3. Vision AI Use Cases:

   • Document Understanding
   • Scene Analysis
   • Entity Recognition
   • Image Generation

4. Key Technologies Behind Vision AI:

   • Deep Learning principles
   • Computer Vision models like CNN, RNN, and Faster R-CNN
   • Transfer Learning and VGG-16 library
   • Embedding techniques
   • Introduction to open-source computer vision library Keras

5. Case Study 1: Payment Protection Plan Analysis

   • Analyzing economic support applications for small businesses impacted by COVID-19.
   • Automated extraction of payroll information from applicant forms.
   • The problem, solution components, and benefits case study.

6. Case Study 2: Image Classification and Item Identification

   • Enhancing retail/warehouse operations through AI.
   • Describing the problem, user personas, solution components, and benefit case study.

7. Course Summary & Commercial Offerings:

   • Summarizing key takeaways from the course.
   • Introduction to commercial offerings in Vision AI.
   • Related references and additional resources for further learning.

Embark on a journey to understand the intricacies of Vision AI and how it's revolutionizing industries. With hands-on examples, detailed case studies, and an exploration of the technologies that power these innovations, this course will prepare you to navigate the exciting landscape of Vision AI. Enroll now and be at the forefront of the AI revolution! 🎓🛠️🚀