Neural network architectures, Troubleshooting and optimizing AI systems, Deep learning frameworks, Image processing techniques, AI pipelines, Generative artificial intelligence models, Chatbot solutions

Pytorch, NLP techniques and libraries, Python with TensorFlow, Basic MLOps practices, Azure ML or equivalent cloud ML services

data engineering , .NET, production deployment , Java, Scalability, Data Science, Cloud, System Design, Backend Engineering, Integration, Python, ML Engineering, Generative AI, LLMs, Agentic AI, Security, RAG, architecture, AI frameworks, AI application development

Modern software engineering practices, semantic search, Generative AI, Embeddings, AI model evaluation, AI application architecture, AI Agents, Prompt optimization, Vector databases, AI safety best practices, Prompt Engineering