AI/ML Boot Camp Instructor
Instructor for an intensive AI/ML bootcamp covering machine learning foundations, deep learning, NLP, and production ML deployment. Taught and mentored cohorts of working professionals transitioning into AI roles.
Course Overview
Served as lead instructor for an intensive AI/ML Bootcamp training working professionals for careers in machine learning and AI engineering.
Topics Covered
- Machine Learning Foundations — supervised/unsupervised learning, model evaluation, feature engineering
- Deep Learning — neural networks, CNNs, RNNs with PyTorch
- NLP & Text — text classification, embeddings, transformers fundamentals
- Production ML — model deployment, API wrapping with Flask/FastAPI, Docker basics
- Projects — each cohort completed capstone projects on real datasets
Teaching Approach
Emphasis on hands-on coding from day one, real-world datasets, and production-mindset from the start. Students left with deployable projects and portfolio-ready code.