Open Code for Enterprise

Deploy Open Code with self-hosting options, MCP integration, and full data sovereignty.

Beginner

Agentic AI Engineering

2 days

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

Need more than training?

Training is often a first step. Many teams realize they need support beyond the course to make things work in production, speed up the process or bridge short-term bottlenecks..

Explore Consulting Solutions

We can support you beyond training, through hands-on consulting, project collaboration, or as an embedded enablement team, we are helping you apply what you learned, validate decisions, and move forward with confidence.

Get a free quote now

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