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Udemy - Scaling AI-Assisted Development Across Engineering Teams

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Udemy - Scaling AI-Assisted Development Across Engineering Teams (Size: 1.8 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Evaluating and Standardizing the Team AI Toolchain
  1 - Conducting a Multi-Developer AI Tool Evaluation & Standardized Matrix Rollout.mp4 188.2 MB
  2 - Conducting a Multi-Developer AI Tool Evaluation & (PART2).mp4 177.2 MB
  2 - Establishing Shared AI-Assisted Development Practices
  3 - Architecting Shared Prompt Engineering Libraries and AI Code Review Workflows.mp4 273.6 MB
  3 - Measuring and Improving AI-Assisted Development
  4 - Governing AI-Assisted Development at Scale
  5 - AI Integration and ROI in Platform Engineering
  6 - Analyzing Technical Debt in AI-Generated Code
  10 - Managing The AI Bug Boom.mp4 73.1 MB
  7 - REAL-WORLD ASSETS (Downloadable)
  00-course-blueprint.pdf 87.2 KB
  01-toolchain-pilot-template.pdf 58.3 KB
  02-scale-checklist.pdf 66.7 KB
  03-faq.pdf 42.4 KB
  04-swipe-file.pdf 62 KB
  05-90-day-action-plan.pdf 66.7 KB
  06-final-project-lab.pdf 63.6 KB
  11 - 01-ai-pr-audit-script-and-standard-template.pdf 43.2 KB
  11 - 02-toolchain-checklist-and-cheatsheet.pdf 35.3 KB
  11 - 03-faq-10-questions.pdf 30.4 KB
  11 - 04-swipe-file-5-examples.pdf 31 KB
  11 - 06-hands-on-lab-brief.pdf 41.7 KB
  11 - REAL-WORLD ASSETS (Downloadable).html 14.8 KB
  SKILL.md 3.7 KB
  Scaling AI-Assisted Development Across Teams.md 11.6 KB
  course_package.py 35.8 KB
  8 - Deconstructing_AI_ROI.mp4 66.6 MB
  9 - Hidden_Debt_of_AI_Coding.mp4 77.2 MB
  7 - Designing Self-Service AI Platform Internal Developer Portals (IDPs).mp4 186.5 MB
  5 - Building Enterprise AI Compliance Guardrails & IP Protection Frameworks.mp4 299.1 MB
  6 - Building Enterprise AI Compliance Guardrails & IP Protection Frameworks (PART2).mp4 213.9 MB
  4 - Implementing Developer Velocity Metrics & AI Efficiency Telemetry Dashboards.mp4 253 MB

Description


Scaling AI-Assisted Development Across Engineering Teams
https://WebToolTip.com
Published 10/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 2h 25m | Size: 1.77 GB
Scale AI coding tools across engineering teams with proven workflows, governance guardrails, and measurable ROI metrics.
What you'll learn

Evaluate and standardize AI coding assistants (Copilot, Cursor, Claude Code) across engineering teams using a standardized evaluation matrix.

Deploy enterprise prompt repositories and system configs directly into Git repositories to enforce code quality and architecture standards.

Implement DORA metrics and efficiency telemetry dashboards to accurately track developer velocity, cycle time, and ROI.

Establish AI compliance, data privacy, and automated security CI pipelines to prevent code bloat and hallucinated dependencies.
Requirements

Basic understanding of modern software development workflows, Git, and CI/CD pipelines. Experience in engineering management, tech leadership, or software architecture is helpful, but no prior experience in scaling AI tools is required.

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