AI/ML IoT Development Training: Works With 2022
Machine learning (ML) technology is fast-moving and constantly evolving. To meet the demands for lower power consumption and address size constraints in consumer devices, small, integrated development solutions are needed to take ML capabilities to the edge while remaining feature rich.
Check out the courses below to learn more about bringing ML to edge IoT applications to reduce bandwidth requirements, save power, and increase a device’s ability to make smarter decisions.
AI/ML IoT Sessions:
1. AIML-101: TinyML Applications with Silicon Labs Wireless SoCs
2. AIML-102: ML Workflow and Software Development Tools
3. AIML-2O1: Rapid VUI Prototyping with Sensory’s VoiceHub on SILabs
Gecko Family MCU using the XG24 Development Kit
4. AIML-301: Enabling Continuous Learning for ML-based Anomaly
Detection at the Edge
5. AIML-302: Building Multi-Sensor Algorithms for the IoT Edge
with SensiML
Featuring the Following Speakers:
Tamas Daranyi
Product Manager
Silicon Labs
Dan Kozin
Senior Product Manager
Silicon Labs
Jeff Rogers
Vice President
of Sales
Sensory
Jenny Plunkett
Senior Developer Relations Engineer
Edge Impulse
Chris Rogers
CEO
SensiML
AI/ML IoT Development Training: Works With 2022
Machine learning (ML) technology is fast moving and constantly evolving. To meet the demands for lower power consumption and address size constraints in consumer devices, small, integrated development solutions are needed to take ML capabilities to the edge while remaining feature rich.
Check out the courses below to learn more about bringing ML to edge IoT applications to reduce bandwidth requirements, saves power, and increases a device’s ability to make smarter decisions.
Featuring the Following Speakers:
Tamas Daranyi
Product Manager
Silicon Labs
Dan Kozin
Senior Product Manager
Silicon Labs
Jeff Rogers
Vice President
of Sales
Sensory
Jenny Plunkett
Senior Developer Relations Engineer
Edge Impulse
Chris Rogers
CEO
SensiML
Works With 2024
Where Innovation Meets Implementation
Works With, the premier Silicon Labs developer event of the year, is back! This year will feature three regional, in-person developer events in San Jose, Hyderabad and Shanghai. Participants will experience a full day of training sessions and dedicated technology tracks, as well as a demo lab and networking opportunities. The agenda for these in-person events will also include engineer-led, hands-on workshops where participants will learn practical ways to accelerate the development of their projects with the latest tools, techniques, and resources.
We'll wrap things up with our Works With Virtual training sessions, keeping you up to date on the latest technology trends, all from the comfort of your remote location.