#GH 300

Master GitHub Copilot with SQL School’s LIVE Online, Instructor-Led GH-300 Certification Training. Learn AI-assisted coding, prompt engineering, Copilot Chat, Agent Mode, and MCP through hands-on projects, practical exercises, and exam preparation.

Training Highlights

✅ LIVE Instructor-Led Training
✅ 20 Chapters Across 4 Modules
✅ GitHub Copilot & AI Development
✅ Prompt Engineering & Context Crafting
✅ AI-Assisted Coding & Testing
✅ Security, Privacy & Responsible AI –
✅ End-to-End Practical Project
✅ GH-300 Certification Preparation

Modules We learn

✅ Module 1: Responsible AI and Copilot Essentials
✅ Module 2: Features, Agents and Administration
✅ Module 3: Architecture, Prompts and Productivity
✅ Module 4: Safeguards, Project and Certification

Course Content
FAQs

GH 300 Course Contents:

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Module 1: Responsible AI and Copilot Essentials

CHAPTER 01 | Introduction to GitHub Copilot

Understand the GH-300 exam, Copilot value proposition, prerequisites, supported development workflows
and GitHub fundamentals.
Practical: Explore Copilot in a sample repository.

CHAPTER 02 | Generative AI and Responsible AI Foundations

Learn generative AI, model limitations, hallucinations, bias, intellectual property risks, security implications
and mitigation approaches.
Practical: Evaluate unsafe or inaccurate AI suggestions.

CHAPTER 03 | Validating AI-Generated Outputs

Review correctness, maintainability, licensing, test coverage and human accountability for Copilot-assisted
code.
Practical: Validate and improve a generated function.

CHAPTER 04 | GitHub Copilot Setup and IDE Integration

Configure Copilot in supported IDEs; explore completion, inline suggestions, chat, editor settings and
day-to-day coding flows.
Practical: Enable Copilot and complete an IDE coding exercise.

CHAPTER 05 | GitHub Copilot Chat and Context

Practice chat commands, conversation history, context selection, limitations, feedback and reusable
prompt files.
Practical: Explain unfamiliar code with targeted chat prompts.

Module 2: Features, Agents and Administration

CHAPTER 06 | GitHub Copilot CLI

Understand installation, interactive sessions, available commands, shell assistance, script generation and
safe file operations.
Practical: Create and review a CLI-generated helper script.

CHAPTER 07 | Copilot Edits and Agent Mode

Apply multi-file changes, agent workflows, task delegation, agent sessions and sub-agents while managing
context and review checkpoints.
Practical: Refactor a small application across files.

CHAPTER 08 | MCP and Extended Copilot Workflows

Introduce Model Context Protocol (MCP), connected tools and controlled extensions to agentic development
workflows.
Practical: Map a sample tool-enabled workflow and permissions.

CHAPTER 09 | Copilot in GitHub Collaboration

Use code review assistance, pull request summaries, custom review instructions, Spaces and Spark
capabilities.
Practical: Draft a PR summary and review checklist.

CHAPTER 10 | Organization Administration and Policies

Review organization-wide policies, feature availability, code review controls, audit log events and
subscription management with REST APIs.
Practical: Design an example enterprise Copilot policy.

Module 3: Architecture, Prompts and Productivity

CHAPTER 11 | Copilot Data Flow and Architecture

Explain request context, prompt building, data flow and sharing, proxy filtering, post-processing and code
suggestion lifecycle.
Practical: Diagram the lifecycle of an inline suggestion.

CHAPTER 12 | Understanding Context and Prompt Engineering

Structure prompts with goal, constraints, examples and relevant files; compare zero-shot, few-shot and
iterative prompting.
Practical: Improve weak prompts through three iterations.

CHAPTER 13 | Advanced Context Crafting and Prompt Quality

Explore context selection, prompt process flow, chat history, reusable prompt patterns and
performance-oriented prompt improvements.
Practical: Prepare a reusable prompt for a repository task.

CHAPTER 14 | AI-Assisted Coding and Refactoring

Apply Copilot to code generation, documentation, migration, legacy code modernization, sample-data
generation and accelerated learning.
Practical: Modernize a legacy routine with review.

CHAPTER 15 | AI-Assisted Testing and Debugging

Create unit and integration tests, assertions, edge-case coverage, debugging hypotheses and reproducible
test scenarios.
Practical: Generate tests and assess missing edge cases

Module 4: Safeguards, Project and Certification

CHAPTER 16 | Code Security and Performance with Copilot

Assess suggested security changes and optimizations; check weaknesses, false confidence and the need
for independent verification.
Practical: Review and harden an insecure code example.

CHAPTER 17 | Privacy, Content Exclusions and Safeguards

Configure privacy and editor settings; understand content exclusions, public-code match filtering, output
ownership and troubleshooting.
Practical: Plan safe exclusions for a sample repository.

CHAPTER 18 | End-to-End GitHub Copilot Practical Project

Combine IDE assistance, prompt engineering, CLI, agent mode, review, testing, security and
documentation in one workflow.
Practical: Complete and present a mini-project with review evidence.

CHAPTER 19 | GH-300 Exam Domain Review and Practice Questions

Review all six assessed domains and relative weightings; practice case-based questions on features,
responsibility, architecture and safeguards.
Practical: Complete a domain-wise practice assessment and gap analysis.

CHAPTER 20 | GH-300 Mock Exam and Certification Readiness

Take a timed mock assessment; review explanations, revision priorities, common traps, exam booking
steps and final preparation checklist.
Practical: Complete final mock exam and personalized revision plan.