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

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

Machine Learning, Tensorflow, Django, Devops, Typescript, React, Rest Apis, MLops, Angular, Pytorch, Flask, XGBoost, Oop, Javascript, Microservices, AWS, FastAPI, Kubernetes, Python, Azure, Docker, SOLID Design Patterns, IaC, Ddd, Scikit-learn, NoSQL databases

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

Python Programming, Generative AI tools and frameworks, Cloud-based machine learning environments, Databases and data pipelines, MLOps tooling

structured programming , Github, Numpy, Pandas, AWS, multithreading, Python, LLMs, AWS AI ML services, CI CD, API integrations, LangChain, Agentic AI, Llama Index, Generative AI

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

Deep Learning, Tensorflow, Numpy, Machine Learning, Pandas, AWS, Pytorch, Azure, Nlp, Generative AI, LLMs, Agents, Graph Analytics, Scikit-Learn, RAG