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

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