As a self-motivated learner, I continue my learning pathway after my graduate school training to prepare myself to be an engineer and scientist with multiple skill sets. Here are the courses that I finished in different areas:
Data Science and Machine Learning
1. Introduction to Generative AI Learning Path (4 courses by Google Cloud)
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Introduction to Generative AI
Introduction to Large Language Models
Introduction to Responsible AI
Responsible AI: Applying AI Principles with Google Cloud
Google Cloud
Taught by: Google Cloud on Coursera.
Completed by December 2024
2. Supervised Machine Learning: Regression and Classification
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Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
DeepLearning.AI
Taught by: DeepLearning.AI on Coursera.
Completed by January 2025
3. Advanced Learning Algorithms
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Build and train a neural network with TensorFlow to perform multi-class classification
Build and use decision trees and tree ensemble methods, including random forests and boosted trees
DeepLearning.AI
Taught by: DeepLearning.AI on Coursera.
Completed by January 2025