AI & Machine Learning

Artificial intelligence, deep learning, and computer vision

Artificial Intelligence

  • Machine Learning: Supervised and unsupervised learning, model evaluation, and feature engineering.
  • Deep Learning: Neural networks using PyTorch and TensorFlow.
  • Computer Vision: Image processing, object detection, tracking, and 3D vision.
  • Large Language Models (LLMs): Prompt engineering, chatbot development, and LLM applications.
  • Retrieval-Augmented Generation (RAG): Retrieval pipelines, vector databases, and knowledge-based AI systems.

AI Frameworks

  • PyTorch
  • TensorFlow
  • Scikit-learn
  • OpenCV
  • LangChain