“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Microsoft Official Curriculum
Role-Based Certification PrepTrack: GH-300T00Official Source: Microsoft Learn
MicrosoftIntermediate
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.
Duration
1 day
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
Microsoft
AIIT
GitHub Copilot
GitHub
AI
On this page
Ideal for
AdministratorAICertification ReadinessTailored Team Delivery
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers GitHub Copilot as an MCT-led Microsoft program for Administrator, Devops Engineer. Typical duration is 3 days (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.
Overview
Executive overview
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.
Readiness
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 ai scenarios
Strengthen capability in github scenarios
Strengthen capability in role-based scenarios
Curriculum
Curriculum roadmap
1
AI
2
GitHub
3
Role-Based
1Module 1
GitHub Copilot Fundamentals Part 1 of 2
+
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
2Module 2
GitHub Copilot Fundamentals Part 2 of 2
+
Module 2
GitHub Copilot Fundamentals Part 2 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.
- 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 readinessImplementation-focused labsPrivate cohort deliveryIntermediate 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 PageResources
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.
Enterprise Proof
Trusted delivery outcomes
“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
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
Delivery Capability
Enterprise-grade instruction
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