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1. Introduction to Video Analytics Enginer

• Welcome and Course Overview

• Understanding Video Analytics

• Technologies and Tools Overview

• Architecture of Video Analytics Systems

• Setting Up the Development Environment

2. Stream Ingestion Management

• Introduction to Stream Ingestion

• Sources of Video Streams

• Data Preprocessing and Transformation

• Stream Ingestion Frameworks

• Implementing Stream Ingestion

3. Model Inference Using OpenVINO

• Introduction to Model Inference

• Introduction to OpenVINO

• Setting Up OpenVINO

• Implementing Model Inference with OpenVINO

• Optimizing Inference Performance with OpenVINO

4. Model Inference Using TensorRT

• Introduction to TensorRT

• Setting Up TensorRT

• Implementing Model Inference with TensorRT

• Optimizing Inference Performance with TensorRT

5. Integrate Everything Up

• Overview of System Integration

• Connecting Ingestion to Inference

• Building a Dockerized Video Analytics Engine

• Orchestrating Services with Docker Compose

• Scaling the Video Analytics Engine

• Final Project: Building Your Own Video Analytics Engine