Brighton

3rd Floor, Queensberry House , Brighton, united kingdom, BN1 3XF

This centre occupies a prominent location on Queens Road which links Brighton station to the Churchill Square shopping centre and the seafront. Queensberry House, which offers some sea views, is in the heart of the business district in this city. Brighton is a highly sophisticated and modern resort with a thriving economy and tourist industry. Millions of visitors flock here every year, both for leisure and to attend conferences and exhibitions at the Brighton Centre, one of the largest multi-purpose conference and exhibition centres in the country. Because it is home to so many businesses involved in media, particularly digital or 'new media', Brighton is sometimes referred to as 'Silicon Beach'. The city's priority sectors, which include financial services, creative industries and environmental technologies as well as digital media, are all growing steadily.

Explore Our Courses

Federated Learning and Edge AI

21 Hours

Edge AI for Agriculture: Smart Farming and Precision Monitoring

21 Hours

Building Secure and Resilient Edge AI Systems

21 Hours

Edge AI for Retail: Enhancing Customer Experience and Operations

21 Hours

5G and Edge AI: Enabling Ultra-Low Latency Applications

21 Hours

Edge AI for Computer Vision: Real-Time Image Processing

21 Hours

TinyML: Running AI on Ultra-Low-Power Edge Devices

21 Hours

Edge AI and Robotics: Enabling Autonomous Systems

21 Hours

Low-Power AI: Optimizing Edge AI for Energy-Efficient Devices

21 Hours

Deploying AI Models on Edge Devices with NVIDIA Jetson

21 Hours

Optimizing AI Models for Edge Devices

14 Hours

Building AI Solutions on the Edge

14 Hours

Edge AI for Financial Services

14 Hours

Edge AI in Industrial Automation

14 Hours

Edge AI with TensorFlow Lite

14 Hours

Edge AI for Smart Cities

14 Hours

Security and Privacy in Edge AI

14 Hours

Edge AI in Autonomous Systems

14 Hours

Edge AI for Healthcare

14 Hours

Advanced Edge AI Techniques

14 Hours

Edge AI for IoT Applications

14 Hours

TinyML for IoT Applications

21 Hours

Edge AI: From Concept to Implementation

14 Hours

Deploying AI on Microcontrollers with TinyML

21 Hours

Introduction to Edge AI

14 Hours

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Provisional Upcoming Courses (Contact Us For More Information)

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