AI Training · GitHub Copilot
GitHub Copilot Training for Development Teams
GitHub Copilot now reaches the IDE, GitHub.com, and the command line, and inline suggestions are just the entry point. Copilot Chat and automated code review sit alongside an agent that can pick up a scoped task and open its own pull request.
This hands-on training moves your engineering team past ad hoc autocomplete habits into one shared workflow: seats and policies configured correctly, chat and review used with a genuine review habit, and repository instructions that keep suggestions aligned with your codebase.
- modules
- 6
- hours
- 12
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Why this training
Why train on this tool?
A human signs off before code ships. That rule hasn't moved, even though what a developer touches before merging has grown well past a single inline suggestion. Copilot Chat and an automated first-review pass now sit alongside the completions engineers already know. So does an agent that can pick up a scoped issue and open its own pull request. Together they span GitHub.com plus the IDE and terminal. Turning on Business or Enterprise seats for the whole org is the fast part.
Someone still has to choose organization policies, write repository instructions, and set a review path for agent-authored changes — skip that work and suggestion quality turns uneven while policy gaps stay open by accident. The two-day training builds exactly that: seats and policy configured, inline suggestions versus Copilot Chat, code-review and coding-agent output assessed, then extended to the command line and repository instructions, closing on rollout governance and adoption metrics. Modules adapt to your repositories and policies, using your own code with approval or a sanitized repository otherwise; Vibe Coding training covers habits that carry across assistants, and AI training lists the rest.
Turning on seats is the fast part
Seats can reach a whole engineering org in a day, but flipping the switch settles no conventions, review habits, or default policies.
More than autocomplete
Tab completion is the surface most engineers know, but chat, automated review, and an agent that opens its own pull requests are three more — a team stuck on autocomplete never touches most of what it paid for.
Policy defaults decide what Copilot can see
Content exclusions, public-code matching, and chat data handling all sit at the organization level — get them wrong one way and the tool's blocked, wrong the other way and it sees more than it should.
A draft still needs a reader
A completion or agent-opened pull request arrives unfinished by design — reading and running it before accepting or rejecting is the single habit this program spends the most time on.
Five engineers, five private workflows
Left alone, each engineer settles into a private mix of habits that disappears when they're out sick, switch teams, or leave — training builds one shared workflow the group can read and review with confidence.
Syllabus
Training syllabus
GitHub Copilot's surfaces, in one place
90 minBeginner
Copilot now covers four different surfaces: inline suggestions, Copilot Chat, code review, and the coding agent. Each one sits next to your team's wider AI-assisted development practice, with expectations set before rollout starts.
- Copilot Business vs. Enterprise: what each tier includes
- The IDE, chat, review, and agent surfaces, and what each one is for
- How Copilot differs from a general-purpose AI coding assistant
- What it's good at, and where a developer still has to decide
- Setting expectations before a team-wide rollout begins
Admin setup and organization policy
120 minBeginner
Configure Copilot correctly at the organization level, including seats and roles as well as the policies that decide what the tool can see and suggest. Then write the repository instructions that keep suggestions lined up with your codebase.
- Assigning seats and access levels across the organization
- Organization policies for content exclusions and public-code matching alongside chat controls
- Deciding what a policy should say before you write it
- Writing repository custom instructions that reflect your team's conventions
- Connecting Copilot to your existing identity and access controls
- Keeping policy and instructions current as the organization grows
Everyday work in Copilot Chat
120 minIntermediate
A repeatable way to work with Copilot day to day: reach for inline suggestions when they help, and Copilot Chat when a task needs back-and-forth. Practiced on your team's own code in your own IDE.
- Choosing inline suggestions or Copilot Chat for a given task
- Giving Copilot Chat the right file and repository context
- Explaining and fixing code, then generating tests through chat-driven workflows
- Prompting patterns for code
- Working across a multi-file change without losing the thread
- Building a shared library of prompts that work for your stack
Code review and the coding agent
150 minIntermediate
Copilot can make an automated first pass on a pull request and suggest changes. Its agent can then pick up a scoped issue and open its own pull request. The group decides where each fits into a review process the team already trusts.
- Automated review, first pass
- Assigning a scoped issue to the coding agent and reviewing what comes back
- Reading an agent-opened pull request as critically as a colleague's
- Fitting Copilot's review output into your existing CI and approval process
- Deciding which tasks are safe to hand to an agent, and which aren't
The command line and repository instructions
120 minIntermediate
Extending Copilot past the editor: using it from the terminal for everyday tasks, and writing the repository instructions that keep every developer's suggestions consistent with your codebase instead of their own habits.
- Copilot from the terminal
- Writing repository instructions that cover conventions and boundaries with examples
- Building a shared instructions library across multiple repositories
- Keeping instructions current as the codebase and conventions change
- Extending Copilot into scripts and other touch points around your workflow
Rollout and governance with adoption measurement
120 minAdvanced
From scattered individual use to a team that runs GitHub Copilot well across the organization. The path starts with a pilot and accounts for the security and IP boundaries specific to Copilot's data flows. It also names the one metric worth watching on the way to a wider rollout.
- Choosing a pilot team and building a champions network around it
- Writing a Copilot usage policy engineers will follow under deadline
- Security, IP, data boundaries
- Metrics that show real adoption across the team
- A rollout plan you leave with, built on your own organization's policies
Outcomes
Outcomes & audience
What you will learn
- Configure Copilot seats, roles and policy
- Write repository instructions that match your team's own conventions
- Choose chat or inline
- Review every Copilot suggestion under strict discipline, including agent pull requests
- The Copilot agent's task boundaries
- Apply content-exclusion and data-handling policy that keeps source code and secrets inside your boundaries
- Use Copilot from the command line as part of a broader workflow
- Take a pilot to org-wide rollout, with champions and meaningful metrics in place
Who should attend
- Engineering managers and team leads standardizing on GitHub Copilot
- Senior and staff engineers who own repository conventions and tooling choices
- Platform and DevEx teams responsible for developer productivity and rollout
- GitHub organization admins handling seats and policy configuration
- Security and engineering-governance stakeholders reviewing the tool's data flows
- CTOs and heads of engineering planning organization-wide adoption
Format
Training format
GitHub Copilot practice takes two days, usually split into half-day sessions so delivery schedules stay intact. Onsite and live-online formats cover the same syllabus, and the exercises run on a repository your team already knows.
- Format
- Onsite or live online
- Duration
- 2 days (about 13 hours, can be split into half-day sessions)
- Group size
- Up to 16 participants per group
- Materials
- Repository instructions starter, policy checklist, and rollout plan
- Language
- English or Turkish
- Certificate
- Certificate of completion
Keep exploring
Related programs
Next step
Let's scope your Copilot rollout
Questions
Frequently asked questions
Who is this GitHub Copilot training built for?
Development teams standardizing on GitHub Copilot Business or Enterprise. Engineering managers and org admins configure seats and policy alongside the developers using Copilot every day. Because sessions run on an intact team, the conventions and instructions files you leave with are the ones you use afterward.
How does this differ from Zeo's Vibe Coding training?
Vibe Coding covers the workflow and review habits that apply across Cursor, Claude Code, Copilot, and prototype builders, at the level of judgment rather than any one tool's menus. This program stays on GitHub Copilot alone: its specific surfaces, admin and policy configuration, and organization rollout. A team already standardized on Copilot gets more out of this one. A team still choosing a stack should start with Vibe Coding.
Is this the same as the free Copilot Academy course?
No. Copilot Academy is a free, self-serve course about Microsoft 365 Copilot in Word, Excel, Outlook, and Teams. This is a separate, instructor-led program about GitHub Copilot for software development: admin setup, Copilot Chat, code review and agent features, and organization rollout. Plenty of organizations run the free academy for the Microsoft 365 side and bring us in for this one.
Does everyone in the room need to be a senior engineer?
Nobody needs to be a senior engineer here: familiarity with your own codebase and a terminal is what matters, and mixed-seniority groups work well since admins and leads focus on policy while developers focus on day-to-day workflow.
How does the schedule work?
Two days, roughly 13 hours, onsite or as live online sessions. It splits into half-day blocks when that suits your delivery calendar better, and the work runs on a repository your team already knows.
Can you adapt the syllabus to our policies and stack?
That's the plan from the start. Before the training we run a discovery call, look at your current Copilot policies and languages, and shape the examples, exercises, and depth around what we find. Where you allow it, we build directly on your own repository.
What happens to our source code and policies during the sessions?
The training itself covers this directly. One full module covers admin setup and organization policy, including content exclusions and data-handling boundaries. Exercises can run on a sample or sanitized repository if you'd rather, and we agree the boundaries with you before any session touches live code.
How is the number put together?
Group size, delivery format, customization depth, and location all factor in, and programs vary enough that we keep no standing price list. A short note on your team and your goals is enough for us to price it.