Machine Learning, Design Patterns, anomaly detection, programming with at least one software programming language, transformer architecture, LLM fundamentals, Optimization Techniques, Software Development Lifecycle Monitoring, Deployment Validation, training inference lifecycles, AI ML technologies

Github, Data Analytics, Machine Learning, Tensorflow, Pytorch, Python, generative AI solutions, vector databases, prompt engineering, unstructured and semi-structured data, R, MLFlow, MLOps principles, fine-tuning deep learning models

Java, Software Development, Design Patterns, programming, object-oriented design, Reliability, Scaling

Software Development Lifecycle, Machine Learning, Aws Services, Design Patterns, Big Data Technologies, reliability and scaling, engineering practices and patterns