03 Jan 2024 (Wed) - 04 Jan 2024 (Thu)
09:00 AM - 05:00 PM
In today’s AI-driven world, Machine Learning and Deep Learning have become essential technologies. But how can you easily grasp their concepts and leverage them effectively? This comprehensive course will provide you with a solid understanding of machine learning principles, as well as practical skills in deploying trained neural networks on microcontrollers—a field known as embedded machine learning or TinyML.
Designed with beginners in mind, this course will take you from the fundamentals to designing and implementing your own machine learning-enabled projects on Arm Cortex-M4 100MHz processor with FPU and RISC-V core, 32-bit RISC-V coprocessor and come with Convolution Neural Network Accelerator (CNN). This course provides a step-by-step guide for implementing and deploying artificial intelligence (AI) solutions onto an ADI MAX78000FTHR Development Board.
Hands-on exercises will help you gain proficiency in preparing data, developing and testing machine learning models, and deploying them to a real physical hardware, the MAX78000FTHR Development Board, and using the ai8x framework tools and Eclipse IDE in the process.
At the end of the programme, you would be able to:
Learners are expected to be able to:
S$250 (inclusive of the MAX78000FTHR Development Board