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Databricks launches Context Engineer certification and AI training

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feature announcement

Databricks has introduced an industry-first "Context Engineer" certification beta exam to validate skills in building reliable AI agent systems, addressing the critical bottleneck of context management in agentic AI. This launch is complemented by an expanded learning catalog with targeted courses and an official AI certification prep guide that advises on using LLMs like ChatGPT for study. These initiatives aim to close the skills gap for professionals working with agentic AI and offer a new, AI-first approach to technical certification preparation.

  • →Industry-first Context Engineer certification launched
  • →Expanded learning catalog for agentic AI
  • →Pioneering AI-first approach to certification prep
Features (3) ›
  • Industry-first Context Engineer certification launched

    Databricks has launched the Databricks Certified Context Engineer Associate beta exam, the first certification dedicated to validating skills for engineering reliable, production-grade AI agent systems. This certification benchmarks deep technical skill in curating context for LLMs.

  • Expanded learning catalog for agentic AI

    Databricks has expanded its learning catalog with new courses designed for the agentic era, including 'AI Agent Fundamentals,' 'Building Retrieval Agents on Databricks,' and 'Agent Evaluation.' These courses aim to help practitioners keep pace with AI development.

  • Pioneering AI-first approach to certification prep

    Databricks is the first certification program to publish official guidance on using AI tools like ChatGPT and Claude to help candidates study for exams. This tool-agnostic guide includes guardrails and hands-on practice recommendations.

Read the original announcement →

https://www.databricks.com/blog/skills-gap-behind-agentic-ai-and-how-databricks-closing-it-new-context-engineer-certification

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