Practical introduction to AI and machine learning concepts for engineers, focused on applying models to real-world embedded and industrial engineering problems.
Course Outline
- Module 1: Machine Learning Fundamentals
- Module 2: Data Preparation and Model Training
- Module 3: Applied Engineering Case Studies
- Module 4: Model Evaluation and Deployment Project
Classroom Training Hours
30 hours of instructor-led classroom training, combined with supervised hands-on lab work.
Competency Flow
graph TD
A[Machine Learning Fundamentals] --> B[Data Preparation and Model Training]
B --> C[Applied Engineering Case Studies]
C --> D[Model Evaluation and Deployment Project]