Open Code for Enterprise
Deploy Open Code with self-hosting options, MCP integration, and full data sovereignty.
What you will learn in this course
WHY THIS COURSE IS A GAMECHANGER: When implementing AI tools, enterprise teams often face challenges with vendor lock-in and data sovereignty requirements. This leads to hesitation, fragmented adoption, or compliance risks. This training provides a systematic approach to open code deployment so your team can leverage powerful AI capabilities while maintaining full control over data and infrastructure.
ABOUT THIS COURSE: In this training, we teach practical skills for deploying and mastering open code in enterprise environments. You'll gain hands-on experience with installation, self-hosting options, the Model Context Protocol (MCP) for connecting to internal systems, and advanced prompting techniques.
The course covers critical enterprise requirements such as data sovereignty, security policies, multi-model support, and team-wide adoption strategies. Through multiple labs and real-world scenarios, you will learn to leverage the unique strengths of Open Code while establishing governance frameworks that meet compliance requirements.
Agenda
Open Code Introduction
Setup & Self-Hosting
Terminal-Native Workflow
Prompting & Context
MCP & Custom Extensions
Multi-Model Configuration
Agentic Workflows
Security & Compliance
Team Collaboration
Hands-On Labs
audience
This course is designed for
- Software engineers and developers adopting AI-assisted coding
- DevOps and platform engineers seeking self-hosted AI solutions
- Engineering managers and tech leads driving open-source AI adoption
prerequisites
To get most out of this course, you should have:
- Basic programming experience in any language
- Familiarity with version control (Git) and terminal/command line
- No prior Open Code or AI coding tool experience required
style
Our trainers have years of experience and will deliver the right mix of:
- Interactive lectures with live demonstrations
- Hands-on labs with guided exercises
- Real-world enterprise scenario discussions
- Q&A sessions
Technical requirements
We recommend the following equipment:
- Stable internet connection
- Modern web browser (Chrome, Firefox, Edge, etc.)
- API access to supported AI model providers or self-hosted model infrastructure
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