Medical Artificial Intelligence Course
This Medical Artificial Intelligence Course will open your eye to the power of computer brainpower in the health field. It is made for people who sabi technology and want to bring new ideas. You will learn how to build AI models with PyTorch and TensorFlow, how to handle data and clean it up, and how to use AI models for medical pictures (imaging). You will learn how to see the predictions clearly, prepare good reports, and talk about what you find in a way that people can understand. You will get better at knowing how to judge AI models and how to train them well, so that you can get good results that can help people in medicine find sickness them quick-quick.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
This Medical Artificial Intelligence Course will open your eye to the power of computer brainpower in the health field. It is made for people who sabi technology and want to bring new ideas. You will learn how to build AI models with PyTorch and TensorFlow, how to handle data and clean it up, and how to use AI models for medical pictures (imaging). You will learn how to see the predictions clearly, prepare good reports, and talk about what you find in a way that people can understand. You will get better at knowing how to judge AI models and how to train them well, so that you can get good results that can help people in medicine find sickness them quick-quick.
Elevify advantages
Develop skills
- Learn how to see the AI prediction and compare it to the real sickness wey doctor see.
- Learn how to write complete report about the AI model wey you build.
- Learn how to use PyTorch and TensorFlow to make AI model them.
- Learn how to clean, put in order and arrange medical picture them properly so that AI can use them.
- Learn how to judge AI models by using correct correct measure them.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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