Google Cloud Platform (GCP), Rpa Uipath, Databases, Apis, Enterprise Applications, Python, Agentic AI, CI/CD pipelines, Tool calling orchestration frameworks, LLM-based agents

isolation), vLLM), Open-source LLMs (Ollama, Security fundamentals (auth, Cloud deployment, Docker, FastAPI, Python, LangChain, Re-ranking models, Vector databases, LangGraph, secrets, Voice AI pipelines, Hybrid search, CI/CD, RAG pipelines, Multi-agent systems, LlamaIndex

twilio , PostgreSQL, Redis, Docker, FastAPI, Webrtc, Python, LangChain, LLMs, Vapi, Voice AI, LangGraph, LiveKit

.Net Core, React, Spring Boot, Windows, Microservices, Nosql, Docker, Distributed Systems, Angular Js, Java, Sql, Linux, Azure, Kubernetes, AI system operations monitoring, cost-performance trade-offs, API SDK-based services, ChatGPT, AI ML basics, LLM usage patterns, AI-assisted development tools, responsible AI practices, enterprise compliance considerations, Messaging and event-driven architecture, Cloud platforms, REST Web APIs, GitHub Copilot

Visual Studio, Azure Sql, Azure cloud services, orchestration templates, vector search, security across application and data layers, observability in GenAI applications, scalable microservices, reusable components, DevOps practices, API design principles, cloud-native delivery, model safety, prompt libraries, prompt optimization, LLM-integrated systems, micro front-end architecture, multi-step task orchestration, context management, Cost Optimization, containerized workloads, SDKs, front-end applications familiarity

Sklearn, Python, AWS, Sql, Gcp, Containers, Azure, NL2SQL pipelines, embeddings, Pipelines, structured outputs, model registry, chatbots, LangChain, experiment tracking, tool function calling, LLMs, Forecasting, feature pipelines, analytics agents, drift monitoring, RAG, CI/CD, statsmodels, LlamaIndex

Natural Language Processing (NLP), Tensorflow, Typescript, Javascript, Pytorch, Docker, Data Management, Python, AWS, Java, Node.js, Google Cloud, Kubernetes, Prompt engineering, Agent orchestration platforms, Go, Machine learning model training, LangGraph, OpenAI APIs, LangChain, Semantic retrieval, Evaluation techniques, LLMs, Vector databases, MCP protocol, AutogenAI, Real-time data pipelines, Multi-agent systems, Fine-tuning

Kubernetes, S3, Lambda, AWS, FastAPI, Python, Terraform, Docker, Apis, EKS, LLMs integration, Pydantic, Vector Databases, AI Technologies, prompt context engineering, observability and monitoring platforms, LangGraph, AI Agent frameworks

AWS, Java, Microservices, Grafana, Typescript, MLops, Prometheus, Node.js, Kubernetes, Python, Docker, Elk Stack, GraphQL API, Go, Vector databases, LLMOps, Event-driven architectures

AWS, Java, Microservices, Grafana, Typescript, MLops, Prometheus, Node.js, Kubernetes, Python, Docker, Elk Stack, GraphQL API, Go, Vector databases, LLMOps, Event-driven architectures