C, Ibm Cloud, Linux System Administration, Tensorflow, Jenkins, Git, Pytorch, Gcp, Terraform, Ansible, Openshift, Shell scripting, Azure, Kubernetes, AWS, Generative AI, vLLM, GitHub Actions

Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) governance, Agent Development Kits (ADKs), Google Cloud Platform, Python, Cloud-based data solutions, Data lakes, Agentic AI architectures, Enterprise data warehouses, Enterprise cloud architecture, LLM-powered solutions, Enterprise guardrails, Gemini Enterprise, Microservices applications, intelligent agents, Data pipelines, AI security, Generative AI applications

Git, Terraform, Networking Basics, Azure DevOps, Private endpoint concepts, Environment variables, Key Vault, Prompt transcript logging, Log Analytics, AI Gateway, Artifact handling, CI/CD pipelines, Resource Deployment, Deployment validation, RAG observability, Infrastructure-as-Code, Azure Monitor, Application Insights, Monitoring and diagnostic configuration, Azure core services

Ml, Nlp, MLops, Python, LangChain, vector search, GenAI, embeddings, LLMs, conversational AI, Hugging Face, vector databases, LangGraph, RAG