Google runs 5‑day AI agents course
What happened
Google is circulating a hands‑on five‑day course on AI agents covering tools, MCP, context engineering and production scaling — aimed at rapidly up‑skilling engineers on agent architectures. Expect this to become a common baseline for teams building production agents. (x.com)
Why it matters
Google ran the free five‑day “AI Agents Intensive” in partnership with Kaggle from November 10–14, 2025. (blog.google)) The published syllabus lists Day 1: agent architectures, Day 2: agent tools and MCP interoperability, Day 3: context engineering and memory, Day 4: agent quality/observability and evaluation, and Day 5: prototype‑to‑production including multi‑agent scaling and the Agent‑to‑Agent (A2A) protocol. (blog.google)) Instructional format combined hands‑on codelabs, live Discord discussions and YouTube livestreams, plus a capstone project with prizes and community showcase. (blog.google)) Course artifacts were made available as a Kaggle self‑paced guide and in community GitHub repositories that include notes, code and capstone examples. (kaggle.com)) A five‑slide executive brief that mirrors the course days gives a direct narrative: Slide 1 “Architecture & Strategy” (Day 1), Slide 2 “Tooling & MCP Integration” (Day 2), Slide 3 “Context & Memory Plan” (Day 3), Slide 4 “Quality, Observability & SLOs” (Day 4), Slide 5 “Prototype‑to‑Production, Scaling & A2A” (Day 5). (blog.google)) Deck artifacts aligned to those slides should match course deliverables: an architecture diagram and module map (Day 1), an MCP integration matrix listing APIs and auth scopes (Day 2), a memory budget and session/state strategy (Day 3), concrete SLOs plus logging/tracing dashboards (Day 4), and a deployment runbook with scaling patterns and A2A interoperability points for production rollout (Day 5). (blog.google))
Key numbers
- (x.com) Google ran the free five‑day “AI Agents Intensive” in partnership with Kaggle from November 10–14, 2025.
What happens next
- Expect this to become a common baseline for teams building production agents.
Sources
Quick answers
What happened in Google runs 5‑day AI agents course?
Google is circulating a hands‑on five‑day course on AI agents covering tools, MCP, context engineering and production scaling — aimed at rapidly up‑skilling engineers on agent architectures. Expect this to become a common baseline for teams building production agents. (x.com)
Why does Google runs 5‑day AI agents course matter?
Google ran the free five‑day “AI Agents Intensive” in partnership with Kaggle from November 10–14, 2025. (blog.google)) The published syllabus lists Day 1: agent architectures, Day 2: agent tools and MCP interoperability, Day 3: context engineering and memory, Day 4: agent quality/observability and evaluation, and Day 5: prototype‑to‑production including multi‑agent scaling and the Agent‑to‑Agent (A2A) protocol. (blog.google)) Instructional format combined hands‑on codelabs, live Discord discussions and YouTube livestreams, plus a capstone project with prizes and community showcase. (blog.google)) Course artifacts were made available as a Kaggle self‑paced guide and in community GitHub repositories that include notes, code and capstone examples. (kaggle.com)) A five‑slide executive brief that mirrors the course days gives a direct narrative: Slide 1 “Architecture & Strategy” (Day 1), Slide 2 “Tooling & MCP Integration” (Day 2), Slide 3 “Context & Memory Plan” (Day 3), Slide 4 “Quality, Observability & SLOs” (Day 4), Slide 5 “Prototype‑to‑Production, Scaling & A2A” (Day 5). (blog.google)) Deck artifacts aligned to those slides should match course deliverables: an architecture diagram and module map (Day 1), an MCP integration matrix listing APIs and auth scopes (Day 2), a memory budget and session/state strategy (Day 3), concrete SLOs plus logging/tracing dashboards (Day 4), and a deployment runbook with scaling patterns and A2A interoperability points for production rollout (Day 5). (blog.google))
