Can the program be customized?

Yes. GitHub Copilot supports customization around lab depth, demo context, certification focus, and team-specific scenarios.

Yes. This program includes instructor-led labs and practical exercises aligned to real implementation patterns.

How does this align with official certification or curriculum?

This program is aligned to the official Microsoft Learn curriculum and learning path referenced for this track.

How are prerequisites assessed?

We review prerequisite readiness during scoping and can recommend preparatory modules or a skills checkpoint before cohort start.

What happens after the program?

Private cohorts receive a handover summary, recommended next learning paths, and optional follow-on advisory for rollout or certification readiness.

Microsoft Official Curriculum

GitHub Copilot

This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.

Role-Based Certification PrepTrack: GH-300T00Official Source: Microsoft LearnMicrosoftIntermediateEnterprise Track

Plan Private Delivery Consult a Solutions Architect

Download Program Brief (PDF)

Program Snapshot

Engagement scoped to cohort

Duration1 day

FormatVirtual, On-site, or Hybrid

LevelIntermediate

Course CodeGH-300T00

Certification TrackGH-300T00

SubjectAI

MCT-led delivery
Private cohort / virtual ILT
Typical response: 1 business day

Scoping call typically scheduled within one business day

VNode ITeS delivers GitHub Copilot as an MCT-led Microsoft program for Administrator, Devops Engineer. Typical duration is 1 day (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to GH-300 without turning the week into a dump of Learn modules. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.

Audience Profile

Built for these roles

- AI Developers and Engineers: Professionals involved in creating and deploying AI systems who need to understand the ethical implications and governance frameworks. - Data Scientists and Analysts: Individuals who work with data and AI models, focusing on ensuring transparency, fairness, and accountability in their work. - Business Leaders and Managers: Decision-makers who oversee AI projects and need to implement responsible AI practices within their organizations. - Policy Makers and Regulators: Those responsible for creating policies and regulations around AI usage, ensuring that AI systems are developed and used ethically and safely.

Administrator
AI
Certification Readiness
Tailored Team Delivery

Overview

Executive overview

Prerequisites

Relevant foundational experience in the target technology area.
Comfort with hands-on labs in a cloud or GPU-accelerated environment.

Program Outcomes

Capabilities your teams will gain

Strengthen capability in administrator scenarios
Strengthen capability in devops engineer scenarios
Strengthen capability in github scenarios

Enterprise Delivery

Official learning & delivery options

Review the vendor learning resource, then book a consultation or request a private cohort for your team.

View Official Learning Book a Consultation Request Private Cohort Open in learning platform Program brief (PDF)

Curriculum

Curriculum roadmap

Administrator
Devops Engineer
GitHub

Module 1

GitHub Copilot Fundamentals Part 1 of 2

Empower individual developers and businesses to enhance their productivity and foster innovation through a comprehensive exploration of the fundamental concepts of GitHub Copilot. Additionally, gain valuable insights on how to initiate the implementation of GitHub Copilot within your organization, enabling you to kickstart your own transformative journey. This is learning path is split into two and this is part one of two.

Responsible AI with GitHub Copilot
Introduction to GitHub Copilot
Introduction to prompt engineering with GitHub Copilot
Introduction to Copilot Spaces
Using advanced GitHub Copilot features
GitHub Copilot Across Environments: IDE, Chat, GitHub.com, Command Line Techniques, and the GitHub Copilot App
Management and customization considerations with GitHub Copilot
Developer use cases for AI with GitHub Copilot
Develop unit tests using GitHub Copilot tools

Module 2

GitHub Copilot Fundamentals Part 2 of 2

Building applications with GitHub Copilot agent mode
Accelerate development with GitHub Copilot cloud agent
Introduction to MCP Server
Leveling up code reviews and pull requests with GitHub Copilot
Using GitHub Copilot with JavaScript
Using GitHub Copilot with Python

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Certification readiness
Implementation-focused labs
Private cohort delivery
Intermediate practitioner depth

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Builds applied team capability in AI-assisted development and improves the quality of GitHub Copilot adoption.

Align labs to your production environment and platform priorities
Add focused exam-readiness reviews and instructor-led practice sessions
Extend into project-specific architecture or delivery coaching

Credentials

Certification & official source

•GH-300T00

Aligned to the official Microsoft Learn course and learning path for this program.

View Official Microsoft Learn Page

Resources

Program resources

Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.

Program brief (PDF)View Official Microsoft Learn Page

Enterprise Proof

Trusted delivery outcomes

“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”

“The GitHub Copilot enablement workshop transformed how our developers approach productivity with immediately practical patterns.”

Retail & E-commerce

Representative Retail Analytics Team

Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.

Higher consistency in report design practices
Improved collaboration between analysts and engineering teams

Read engagement

Healthcare

Representative Healthcare Product Team

The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.

Stronger alignment between product and engineering teams
Improved clarity on prototype-to-production requirements

Read engagement

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

MCT-led delivery

Programs led by Microsoft Certified Trainer practitioners

Enterprise program oversight

Founder-led specialist delivery with structured rollout planning

Global delivery

APAC · EMEA · Americas · Virtual & Onsite

Implementation-focused

Hands-on labs aligned to production scenarios

Plan delivery