Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction to Edge and Agentic AI
- Foundational concepts of agentic AI and edge computing
- Considerations regarding latency, privacy, and bandwidth
- Architectural comparison between cloud-based and edge-based agents
Designing Lightweight Agent Architectures
- Decomposing the agent loop for constrained systems
- Utilizing asynchronous design for efficient computation
- Balancing autonomous operation with connectivity
Establishing the Development Environment
- Installing Python frameworks specifically for edge AI
- Configuring TensorFlow Lite and PyTorch Mobile
- Setting up test environments on Raspberry Pi or comparable devices
Implementing On-Device Inference
- Model conversion and quantization for edge deployment
- Executing inference using TensorFlow Lite and ONNX Runtime
- Incorporating inference outcomes into agent decision-making loops
Integrating Agents with Hardware and IoT
- Linking sensors, actuators, and IoT modules
- Creating local data collection and processing pipelines
- Implementing offline operation and event-triggered behaviors
Optimization and Monitoring
- Tuning performance for low power consumption and high speed
- Techniques for edge caching and model compression
- Monitoring strategies and debugging edge agents
Hands-on Project: Deploying a Lightweight Agent on Edge Hardware
- Designing a compact autonomous agent for IoT or robotics tasks
- Implementing model inference and local logic controls
- Testing and optimizing for low latency and high reliability
Summary and Future Directions
Requirements
- Proficiency in Python programming
- Fundamental knowledge of machine learning workflows
- A basic understanding of embedded or edge computing principles
Target Audience
- Embedded developers integrating AI capabilities into hardware systems
- Edge ML engineers crafting on-device inference solutions
- Robotics teams deploying agentic AI for autonomous functionality
