AI & Machine Learning
AI/ML Engineering
Covers practical machine learning from data preparation through training, evaluation, and deploying models to production.
Curriculum
01 ML Foundations
- Python for data science
- Statistics & probability
- Data cleaning & feature engineering
02 Model Development
- Supervised learning
- Neural networks with PyTorch
- Model evaluation
03 Production ML
- Deployment pipelines
- Monitoring & retraining
- MLOps basics
Projects You'll Build
- Classification model project
- Computer vision project
- Deployed inference API
LeoTech Solution Certificate in AI/ML Engineering
Have a project in mind?
Tell us what you're building. We'll get back to you within one business day with next steps.