Prompt Engineering Software Development (GitHub Copilot) Training

Prompt Engineering Software Development (GitHub Copilot)

An advanced, practice-driven course for developers already using AI coding tools. The focus is working faster and safer with GitHub Copilot by mastering prompt patterns, context strategies, and integration with real repositories, tests, and CI.

What will you learn?

You will refine how you scope engineering tasks, design prompts, and steer Copilot to produce reliable code changes. You will connect prompts to your repos and workflows, apply guardrails with tests and policies, and adopt lightweight evaluation so quality improves over time.

After this training you will be confident in:

Framing engineering tasks for Copilot and choosing effective prompting strategies
Grounding generations with repository context, symbols, and documentation
Driving code edits, explanations, and diffs across multi-file projects
Tightening feedback loops with tests and acceptance criteria
Integrating prompts into Git, code review, and CI
Managing privacy, security, and IP considerations with clear auditability

Requirements:

Strong command of Git and code review practices
Familiarity with a CI system and package managers in at least one language
Access to a non-sensitive repository suitable for training
Copilot enabled in your IDE and GitHub account

Course Outline*:

*We know each team has their own needs and specifications. That is why we can modify the training outline per need.

Module 1: Copilot in the SDLC

Where Copilot helps in planning, coding, testing, and revie
Task decomposition, constraints, and acceptance criteria as prompt inputs
Reading outputs critically and deciding when to iterate or restart

Module 2: Preparing high quality context

Supplying the right files, symbols, configs, and logs without overload
Summarizing large code areas and capturing invariants to protect
Linking design docs and API references to raise answer quality

Module 3: Code generation and editing patterns

Requesting focused diffs, patch-style outputs, and commit messages
Stepwise prompts for adding a feature while preserving contracts
Refactoring prompts that keep public APIs stable

Module 4: Tests as guardrails and debugging

Writing or tightening tests before edits to bound behavior
Using failing tests and logs to steer the next iteration
Producing reviewer-friendly explanations and change notes

‍

Module 5: Prompt templates and reuse

Reusable scaffolds for bug fixes, feature stubs, and migrations
Embedding style, lint, and formatting rules as constraints
Team conventions for naming, structure, and checklists

Module 6: Git and CI integration

Branching approaches that complement AI-assisted changes
Pull request descriptions, risk callouts, and review checklists
Connecting prompts to automated tests and quality gates

Module 7: Retrieval and external tools

When to attach docs, tickets, and changelogs for grounding
Selecting utility tools the model should rely on, such as linters and test runners
Handling long-running tasks and chunked objectives

Module 8: Security, privacy, IP, and evaluation

Redacting secrets and minimizing sensitive data sharing
License awareness and provenance for generated code
Decision logs and traceability, simple metrics for continuous improvement

Hands-on learning with expert instructors at your location for organizations.

Level:

Intermediate

Duration:

Hours (days:

)

Training customized to your needs

Immersive hands-on experience in a dedicated setting

*Price can range depending on number of participants, change of outline, location etc.

Get Quote

Master new skills guided by experienced instructors from anywhere.

Level:

Intermediate

Duration:

Hours (days:

)

Training customized to your needs

Reduced training costs

*Price can range depending on number of participants, change of outline, location etc.

Get Quote

You can participate in a Public Course with people from other organisations.

/per trainee

Thanks for the numbers, they could be going to your emails. But they're going to mine... Thanks ;D

Oops! Something went wrong while submitting the form.

Level:

Intermediate

Duration:

Hours (days:

)

Fits ideally for individuals and small groups

Networking opportunities with fellow participants.

*Price can range depending on number of participants, change of outline, location etc.

Get Quote

Prompt Engineering Software Development (GitHub Copilot)

What will you learn?

Requirements:

Course Outline*:

Module 1: Copilot in the SDLC

Module 2: Preparing high quality context

Module 3: Code generation and editing patterns

Module 4: Tests as guardrails and debugging

Module 5: Prompt templates and reuse

Module 6: Git and CI integration

Module 7: Retrieval and external tools

Module 8: Security, privacy, IP, and evaluation

Get Quote for:

Prompt Engineering Software Development (GitHub Copilot)

Start your training experience here!