This certificate program is built around eight sequential modules that show how to plan, automate, and scale engineering work with Zencoder. Watch each module’s video and review the key takeaways to apply the workflows inside your own teams.Documentation Index
Fetch the complete documentation index at: https://docs.zencoder.ai/llms.txt
Use this file to discover all available pages before exploring further.
Modules
Module 1 · Foundations
Install the agents, prototype a productivity tracker end-to-end, and learn to reuse repo knowledge for faster iterations.
Module 2 · Deep Codebase Understanding
Connect multi-repo knowledge, configure access tokens, and pick the right LLM models with tooling and system cards.
Module 3 · Custom Workflows
Encode reusable rules, share custom agents, and extend workflows with MCP tools tailored to your team’s stack.
Module 4 · Automations with Remote Agents
Wire Jira, Zencoder, and GitHub automations so remote agents can raise pull requests and review them autonomously.
Module 5 · Spec Driven Development
Use spec-driven development with TDD/BDD plans, agent-assisted research, and collaborative specs to ship aligned features.
Module 6 · Complex Use Cases
Tackle advanced projects like legacy Java migrations and Figma-to-code builds by crafting specialized agents and MCP integrations.
Module 7 · Working at an Organization
Roll out org-wide practices for Jira references, shared agents, and multi-repo indexing to keep teams aligned on AI work.
Module 8 · How to Drive AI Adoption
Lead adoption with champion programs, visible wins, and usage metrics that unlock sustained AI-driven engineering change.
Certificate Logistics
- Format: Self-paced video lessons with written key takeaways for each module.
- Prerequisites: Working knowledge of Git-based workflows and JavaScript/TypeScript, or equivalent experience.
- Progress tracking: Complete the Udemy course to earn a certificate of completion and showcase your credential: The 10x Engineer - Professional AI Certificate.
- Community: Join the Discord server for questions and discussions with other learners.