technifyed

Pragmatic AI Labs via Coursera

GitHub Enterprise Administration

Overview

Master GitHub Enterprise administration across seven critical domains. You will configure identity management using SAML SSO and Enterprise Managed Users with identity providers like Azure Active Directory and Okta. You will enforce the principle of least privilege by setting access permissions at the enterprise, organization, team, and repository levels, assigning roles such as member, owner, maintainer, and triage to match each user's responsibilities.

The course covers security compliance through the security tab, dependency graphs, Dependabot alerts, and repository insights for monitoring project health. You will manage GitHub Actions at the enterprise scale using the Actions API to configure allowed actions, self-hosted runners, and workflow policies across organizations. You will also host and distribute software through GitHub Packages, including the container registry, RubyGems, npm, Maven, and NuGet registries.

Each module includes hands-on demonstrations in the GitHub interface, from configuring organization settings and billing consoles to compiling Python from source in Codespaces. You will apply Kaizen continuous improvement methodology and the Plan-Do-Check-Act cycle to systematically optimize enterprise workflows.

Syllabus 3

  1. Enterprise Users, Identity, and Deployment 40 minutes

    Covers the GitHub administration console, Codespaces for MLOps, SAML SSO, Enterprise Managed Users, two-factor authentication, authentication layers, the principle of least privilege, and enterprise billing.

  2. Access, Permissions, and Security Compliance 2 hours

    Covers access permissions and rules, repository permission levels, visibility options, privacy settings, collaborators, organization settings, teams and roles, the security tab, Dependabot, repository insights, MLOps workflows, feature management, and Kaizen methodology

  3. Actions at Scale and Package Management 2 hours

    Covers managing GitHub Actions in the enterprise via the API, CI workflows across cloud environments, GitHub Actions demonstrations, compiling Python in Codespaces, GitHub Packages registries, automated publishing with Actions, and the distinction between packages and releases.

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Self-paced: start any time.
  • A clear syllabus (3 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Alfredo Deza
  • Noah Gift

Pragmatic AI Labs is in Tier 4: commercial training companies and platform-made courses of our institution ranking (58/100).

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