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
Foundations of Edge and Agentic AI
- Brief introduction to agentic AI and edge computing concepts
- Assessing latency, privacy, and bandwidth requirements
- Comparing cloud-based versus edge-based agent architectures
Architecting Lightweight Agents
- Simplifying agent loops for resource-limited systems
- Employing asynchronous design for computational efficiency
- Striking a balance between autonomy and network connectivity
Preparing the Development Environment
- Setting up Python libraries for edge AI applications
- Configuring TensorFlow Lite and PyTorch Mobile
- Establishing test environments on Raspberry Pi or comparable devices
Executing On-Device Inference
- Model conversion and quantization strategies for edge deployment
- Running inference via TensorFlow Lite and ONNX Runtime
- Weaving inference outputs into agent decision-making cycles
Connecting Agents to Hardware and IoT
- Linking sensors, actuators, and IoT modules
- Building local data ingestion and processing pipelines
- Implementing offline capabilities and event-driven behaviors
Optimizing and Monitoring Performance
- Tuning for low power consumption and high throughput
- Applying edge caching and model compression methods
- Tracking performance and debugging edge-based agents
Practical Exercise: Deploying a Lightweight Agent on Edge Hardware
- Conceptualizing a small autonomous agent for IoT or robotics scenarios
- Coding model inference and local logic components
- Evaluating and refining for optimal latency and stability
Wrap-up and Future Directions
Requirements
- Proficiency in Python programming
- Foundational knowledge of machine learning workflows
- Awareness of embedded systems and edge computing principles
Target Audience
- Embedded developers integrating AI capabilities into hardware systems
- Edge ML engineers crafting on-device inference solutions
- Robotics teams implementing agentic AI for autonomous functions
