Generative AI (GenAI), GCP), Cloud platforms (AWS, Azure, Databricks, LangChain, CrewAI, NIST AI RMF, AWS Bedrock, AI governance and compliance frameworks, Ai, Anthropic, LLMOps pipelines, Microsoft RAI Maturity Model, LangGraph, AI/ML specializations, EU AI Act, RAG, ISO 42001, Multi-agent architectures, Azure AI, OpenAI

Pytorch, LangGraph, AutoGen, AWS Clarify, AWS AgentCore, Retrieval-Augmented Generation, Vector stores, Semantic search optimization, Bias detection, Embeddings, Guardrails for Bedrock, Neuron TPU, Model explainability, GPUs, JIT compilation, AI acceleration hardware, AOT tracing

Cloud Migration, Microsoft Azure, Networking, Containers, Kubernetes, AWS, Generative AI, modernization, Security

data engineering , Kafka, Python, AWS, Ml, Java, Scala, Sql, Gcp, MLops, Databricks, Azure, Cloud Architecture, Airflow, MLflow, Generative AI, LLMs, dbt, RAG, AI Governance, Ai

snowflake , Microservices, Sql, Gcp, Docker, Azure, Python, Kubernetes, AWS, LangChain, embeddings, Vector databases, retrieval evaluation, prompt engineering, LangGraph, LLM agentic solutions, dbt, Cloud-native architecture, LlamaIndex, observability, tool calling orchestration, RAG function