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Course Outline

Introduction to Edge and Agentic AI

  • Overview of agentic AI and edge computing principles
  • Considerations for latency, privacy, and bandwidth
  • Architectural comparison between cloud and edge agents

Designing Lightweight Agent Architectures

  • Structuring the agent loop for constrained systems
  • Asynchronous design strategies for efficient computation
  • Balancing system autonomy with connectivity

Setting Up the Development Environment

  • Installing Python frameworks for edge AI applications
  • Configuring TensorFlow Lite and PyTorch Mobile
  • Deploying test environments on Raspberry Pi or comparable devices

Implementing On-Device Inference

  • Converting and quantizing models for edge deployment
  • Executing inference with TensorFlow Lite and ONNX Runtime
  • Integrating inference results into agent decision loops

Integrating Agents with Hardware and IoT

  • Connecting sensors, actuators, and IoT modules
  • Establishing local data collection and processing pipelines
  • Managing offline operation and event-triggered behaviors

Optimization and Monitoring

  • Performance tuning for low power consumption and high speed
  • Techniques for edge caching and model compression
  • Monitoring and debugging edge agent performance

Hands-on Project: Deploying a Lightweight Agent on Edge Hardware

  • Designing a small autonomous agent for an IoT or robotics task
  • Implementing model inference and local logic
  • Testing and optimizing for latency and reliability

Summary and Next Steps

Requirements

  • Proficiency in Python programming
  • Foundational understanding of machine learning workflows
  • Familiarity with embedded or edge computing concepts

Target Audience

  • Embedded developers integrating AI capabilities into hardware systems
  • Edge ML engineers developing on-device inference solutions
  • Robotics teams deploying agentic AI for autonomous operations
 21 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3900 € + VAT*

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