DVC), MLOps tools (MLflow, Numpy, Docker, XGBoost, Python, AWS, Sql, Git, Pandas, Gcp, FastAPI, Rest Apis, Prompt engineering, scikit-learn, Monitoring frameworks, Embeddings, LangChain, RAG workflows, Serverless platforms, LightGBM, Similarity search, LlamaIndex, AgenticAI

.NET, Docker, Python, Workflows, React, Postgressql, FastAPI, VSCode, Azure Document Intelligence, Azure Search, CoT, Github Copilot, Agent Orchestration, Agent Memory, Autogen, Azure Open AI, Open Telemetry, Semantic Kernel, Langgraph, FAISS, RAG, Microsoft Agent Framework, MCP, Prompt Engineering, Retrieval Augmented Generation, sentence transformers, pgVector

Java, Apis, Scalability, Typescript, Containers, Python, AWS, LangChain, A2A MCP, Reliability, agent orchestration frameworks, operational requirements, event-driven APIs, CI CD, LangGraph, Security, AWS AgentCore, observability, cloud-native development

Sql, Microservices, Nosql, Django, MLops, Flask, FastAPI, Restful Apis, Azure, Kubernetes, Python, Model Evaluation, Core AI, Llm, AIML, Docket, Data Processing Pipelines, RAG, MCP, Event-driven Architectures, Observability

containerization , Api Development, Gcp, Docker, Azure, Kubernetes, AWS, distributed computing frameworks, AI ML architectures, MLOps practices, LLM-based solutions, integration pipelines, CI CD pipelines, Large Language Models

Ml, Apis, Microservices, Gcp, Data Privacy, Azure, Python, AWS, Anthropic Claude, Generative AI, LLMs, security fundamentals, DevOps workflows, cloud platforms, Ai, OpenAI ChatGPT, MLOps practices, CI CD pipelines, compliance standards, AI ML frameworks

Nlp, Python, LangChain, LLMs, Hugging Face