Neural network architectures, On-premises infrastructure, Generative AI model integration, Deep learning frameworks, Chatbots, Cloud AI services, Image processing systems

Python Programming, metrics, evaluation datasets, fine-tuning, LLM and AI fundamentals, Analytical Skills, AI agent architecture, prompt optimization, production ML AI systems, structured testing, benchmarks, model and LLM evaluation, root-cause analysis, model improvement

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