data engineering , Artificial Intelligence - BASIC, Generative AI - Basic, Machine Learning, Databricks, AI-Generative AI, Technology, AI-Data science

Sql, Pandas, LangChain, Polars, Prompt engineering advanced, Agentic AI design, Vector databases design scaling optimization, GPU basics, LangGraph, Model fine-tuning concepts, Python advanced, NLP systems and production AI pipelines, RAG architectures

Github, Git, Docker, Python, Kubernetes, Angular, Sql, Tensorflow, Nosql, Django, Pytorch, Flask, FastAPI, Restful Apis, LangChain, LLaMA, LLMs, Hugging Face Transformers, Claude, Pinecone, GPT, Retrieval-Augmented Generation, Vector Databases, Mistral, FAISS, RAG, ChromaDB, Weaviate, AI ML frameworks

AI ML, Python, Debugging and troubleshooting techniques

model selection , Performance evaluation metrics (accuracy, AUC), Tensorflow, Numpy, Git, Pandas, Pytorch, Docker, Python, Technical Documentation, Sql, Automated Testing, scikit-learn, Data preprocessing, Reporting, Feature engineering, Training, PRECISION, Hyperparameter tuning, recall

C, AI ML, Cuda, Tensorflow, Git, Pytorch, Docker, Linux, Opencv, Kubernetes, Python, Computer Vision, cloud platforms, TensorRT, ONNX, Real-time video processing, RTSP video streaming

Computer Vision, Nlp, deep learning concepts, machine learning concepts

Tensorflow, Machine Learning, Pytorch, Artificial Intelligence, Data Structures, Azure, Python, Google Cloud, AWS, scikit-learn