Python, LangChain, Vector Databases, LLM Integration, Prompt Engineering, Generative AI, LangGraph, MCP Protocol

Gcp, Azure, AWS, LangChain, CrewAI, vector databases, Semantic Kernel, AutoGen, LangGraph, enterprise AI workflows, A2A, RAG AI orchestration, Agentic AI, MCP, LlamaIndex

User trust considerations, Data governance fundamentals, AI monitoring, Prompt engineering concepts, Backlog management, Product management fundamentals, Stakeholder Engagement, Regulatory expectations, AI risk considerations

Apis, System integration, System Design, Python development, Rest Apis, Authentication, tool function usage, Azure OpenAI, Problem-solving, LLM-based solutions, OpenAI, OAuth tokens, Prompt structuring

PostgreSQL, Spring Boot, React, Typescript, Docker, Python, AWS, Java, Graphql, Dynamodb, Jwt, Kotlin, Redis, New Relic, React, FastAPI, Anthropic Claude, AWS Bedrock, Google Gemini, OpenAI GPT-4, LangChain, Auth0, ElastiCache, Zilliz Milvus, GitLab CI

Elk, Prometheus, Kafka, Grafana, Rabbitmq, Docker, Azure, Kubernetes, Python, AWS, LangChain, Istio, LangGraph, Transformers, AI ML frameworks

Java, Springboot, SOTA AI frameworks, multi-agent systems, Redis Cache, Google BigQuery, prompt engineering, Distributed infrastructure, LangGraph, Kusto, AI ML technologies, agent architectures

Api, Python, LangGraph, Agentic AI, Langchain, LLMs

Python, Robot Framework, test strategy design and execution, CI CD pipelines