Certifications
The courses that stuck, and where I put them to work.
Not a badge wall. These are the ones that actually shaped how I build, each linked to where I used it.
Supervised and unsupervised learning, up through neural networks.
Regression and classification, done from the ground up.
Neural networks, decision trees, and practical model tuning.
Attention and transformer architectures for language.
MDPs, value functions, and policy learning.
Building and training neural networks in TensorFlow.
Regression and time-series forecasting in Python.
Estimating cause and effect from data, past mere correlation.
An applied tour across the ML and deep-learning stack.
CI/CD pipelines that build, test, and deploy on AWS.
Automated build and test stages inside a CI pipeline.
Cloud infrastructure, networking, security, and data/ML on GCP.
Plus the foundations along the way: Python, SQL and PostgreSQL, DBMS, and the usual CS core.