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Data & AI Skills

Data & AI skills help you build LLM applications, RAG systems, AI agents, data pipelines, and machine learning workflows.
177 skills covering Azure AI, LLM applications, embeddings, RAG, agents, and data engineering

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Overview

This category includes:
  • Azure AI SDKs: 50+ skills for Azure AI services across Python, TypeScript, Java, and .NET
  • LLM Applications: RAG implementation, prompt engineering, evaluation, and production patterns
  • AI Agents: Agent frameworks, memory systems, tool integration, and orchestration
  • Data Engineering: Data pipelines, analytics, databases, and transformations
  • ML/AI Development: PyTorch, TensorFlow, MLOps, model serving, and evaluation

AI Engineer

Build production-ready LLM applications with RAG, vector search, and agent orchestration

RAG Engineer

Expert in building Retrieval-Augmented Generation systems with embeddings and vector databases

AI Agents Architect

Design autonomous AI agents with tool use, memory systems, and multi-agent orchestration

LangGraph

Production-grade framework for building stateful, multi-actor AI applications

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Azure AI Services

Comprehensive SDK coverage across all Azure AI services:
  • Azure AI Projects: Python, TypeScript, Java, .NET
  • Azure OpenAI: Chat, embeddings, image generation, audio
  • Azure AI Document Intelligence: Extract text and tables from documents
  • Azure AI Vision: Image analysis, OCR, object detection
  • Azure AI Translation: Text and document translation
  • Azure AI Speech: Speech-to-text, text-to-speech, real-time transcription
  • Azure AI Content Safety: Moderate harmful content
  • Azure Search: Vector, hybrid, and semantic search

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LLM Application Development

CategorySkills
RAG Systemsrag-engineer, rag-implementation, embedding-strategies, vector-database-engineer
Prompt Engineeringprompt-engineering, prompt-engineering-patterns, prompt-caching
Agentsai-agents-architect, autonomous-agents, multi-agent-patterns, agent-memory-systems
Evaluationllm-evaluation, agent-evaluation, ai-product
Productionai-engineer, llm-app-patterns, langfuse, observability-engineer

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Data Engineering

  • data-engineer - Build scalable data pipelines and warehouses
  • data-engineering-data-pipeline - Architecture for batch and streaming
  • dbt-transformation-patterns - Analytics engineering with dbt
  • database-architect - Data layer design and modeling
  • database-optimizer - Performance tuning and optimization
  • postgres-best-practices - PostgreSQL optimization patterns
  • neon-postgres - Serverless Postgres with branching
  • prisma-expert - Prisma ORM schema design and migrations

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Machine Learning

  • ml-engineer - Build production ML systems with PyTorch/TensorFlow
  • mlops-engineer - ML pipelines, experiment tracking, model registries
  • ml-pipeline-workflow - End-to-end MLOps pipelines
  • data-scientist - Advanced analytics and predictive modeling
  • data-quality-frameworks - Great Expectations, dbt tests, data contracts

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Analytics & Visualization

  • analytics-tracking - Design reliable analytics systems
  • business-analyst - AI-powered analytics and dashboards
  • data-storytelling - Transform data into compelling narratives
  • kpi-dashboard-design - Design effective KPI dashboards
  • segment-cdp - Customer Data Platform integration
Many Azure AI skills support multiple languages. Check individual skill documentation for language-specific examples.
This category has the most skills (177) due to extensive Azure AI SDK coverage across Python, TypeScript, Java, and .NET.

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