Udemy - Claude Certified Developer - Ship A Production Agent

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Udemy - Claude Certified Developer - Ship A Production Agent (Size: 920 MB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Foundations
  1 - Claude Certified Developer The Prototype Chasm.mp4 67.2 MB
  2 - I Built A Claude Agent In One Evening It Was Wrong Half The Time.mp4 99.3 MB
  2 - Measure Everything
  3 - Harden It
  4 - Run It In Production
  10 - Shipping A Claude Agent Headless No Terminal No Me 3Am.mp4 37.1 MB
  11 - A Claude Agent Ticket Took 70 Seconds Heres Where The Time Went.mp4 35 MB
  12 - My Claude Agents Security Guard Was Silently Doing Nothing.mp4 37.6 MB
  5 - The Architecture
  13 - Claude Certified Developer Full Production Agent Architecture.mp4 63.2 MB
  8 - None Of My 3 Cost Controls Beat The Claude Agent Baseline.mp4 100.5 MB
  9 - I Attacked My Own Claude Agent 8 Ways It Wouldnt Break.mp4 46.7 MB
  4 - The Same Claude Agent Scored 28 And 56 Which Number Do You Trust.mp4 98.5 MB
  5 - One Missing File Made My Claude Agent Lie About Privacy.mp4 75.3 MB
  6 - Does Your Claude Agent Actually Remember You Or Just Look Like It Does.mp4 54.4 MB
  7 - I Built A Subagent For My Claude Agent It Tied And Cost Double.mp4 106.1 MB
  3 - Four Tools No Model Changes 56 To 68 On A Claude Agent.mp4 99.1 MB

Description


Claude Certified Developer: Ship A Production Agent
https://WebToolTip.com
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz

Language: English | Size: 920.00 MB | Duration: 2h 14m
Build a real Claude Agent SDK agent from 56% to 88% success and ship it. Maps to the CCDV-F exam.
What you'll learn

Build a working Claude Agent SDK support agent from scratch and measure its real task success rate: 56 percent at baseline, 88 percent by the end

Build an eval harness that grades every run against a fixed golden set instead of hand-grading, and catches real bugs that a clean exit code hides

Design least-privilege tools and a context pack that lifted task success from 56 to 84 percent without changing the underlying model

Add memory that survives across sessions inside a hard token budget, and a coherence judge that catches an agent that looks fine but has amnesia

Apply three cost controls (caching, model routing, a budget ceiling) and measure which ones actually pay for themselves versus which make the bill worse

Ship the agent headless with a security layer that survives 8 real attacks, observability traces, and a real incident response, then reuse the architecture
Requirements

Comfortable reading and writing basic TypeScript

A terminal and Node.js installed

An Anthropic API key (a free-tier key is enough to follow along)

No prior experience building AI agents required

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