M-GH300 GitHub Copilot (GH-300)

COURSE OBJECTIVE:
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TARGET AUDIENCE:
– 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.

COURSE PREREQUISITES:
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COURSE CONTENT:
Module 1: GitHub Copilot Fundamentals Part 1 of 2 • Responsible AI with GitHub Copilot • Introduction to GitHub Copilot • Introduction to prompt engineering with GitHub Copilot • Using advanced GitHub Copilot features • GitHub Copilot Across Environments: IDE, Chat, and Command Line Techniques • Management and customization considerations with GitHub CopilotModule 2: GitHub Copilot Fundamentals Part 2 of 2 • Developer use cases for AI with GitHub Copilot • Develop unit tests using GitHub Copilot tools • Introduction to GitHub Copilot Business • Introduction to GitHub Copilot Enterprise • Using GitHub Copilot with JavaScript • Using GitHub Copilot with Python

FOLLOW ON COURSES:
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