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

Machine Learning, Design Patterns, anomaly detection, transformer architecture, LLM fundamentals, reliability and scaling, Optimization Techniques, Deployment Validation, Software Development Lifecycle Monitoring, training inference lifecycles, AI ML technologies

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

Testing, Software Development Life Cycle, Design Patterns, Distributed Systems, Coding Standards, build processes, versioning, Libraries, code reviews, source control management, operations, SDKs