Certifications

In-depth course on adapting pretrained large language models through post-training techniques such as supervised fine-tuning, reinforcement learning from human feedback, and alignment.

Advanced specialization focused on deploying, monitoring, and maintaining machine learning systems in production environments.

Comprehensive specialization covering neural networks, deep learning fundamentals, convolutional networks, sequence models, and practical implementation using TensorFlow.

Foundational course on neural networks and deep learning, covering forward and backward propagation, vectorization, and practical implementation of deep networks from scratch.

Earned an advanced understanding of AI and neural networks through comprehensive training and examination.

Completed an in-depth exploration of computer science fundamentals, programming languages, and software development principles.