AI-Tutor
Module 11DevelopmentModule 11 · Delivery track

CI/CD: pipelines, environments, and AI-generated workflows

Pipelines are how software actually ships. This module teaches the anatomy of a CI/CD pipeline (independent of any one tool), then makes it concrete in GitHub Actions and GitLab CI side-by-side. We add environment gates, secrets, and a choice of deployment strategy. The lab generates a pipeline with AI as a pair and then critically reviews what AI got wrong — pipelines are exactly the place where AI is fluent… Built for final-year students and early-career engineers. Includes a structured lesson plan and hands-on exercises you can complete with an AI coding assistant.

Intermediate4 lessons1h 52m

Taught by Amit Ranjan

Module 11

CI/CD: pipelines, environments, and AI-generated workflows

Free
Preview a lessonLog in to track progress
  • · Lifetime access to materials
  • · Certificate when you finish
  • · Lesson plan + hands-on exercises

Course content

1 sections · 4 lessons · 1h 52m

1.Module materials

4 lessons
  • Session lesson29mPreviewOpen preview
  • Exercises31m
  • Session guide26m
  • Facilitator notes26m

Instructor

A

Amit Ranjan

Industry practitioners teaching AI-augmented software engineering.

Reviews

No reviews yet.

More in this category

Module 01

Foundations: Modern SDLC + the AI-Augmented Engineer

DevelopmentBeginnerCore track

Foundations: Modern SDLC + the AI-Augmented Engineer

Built for final-year students and early-career engineers. A grounding module: we define the modern SDLC (Plan → Design → Develop → Test → Release → Operate → Learn), show where AI augmentation slots in, and reset expectations about what an engineer's day looks like when an AI assistant is part of the workflow. By the end, every learner has a one-page diagram of an SDLC for a real product and a written list of…

Amit Ranjan

Free
Module 02

AI-Assisted Development & Vibe Coding

DevelopmentBeginnerCore track

AI-Assisted Development & Vibe Coding

The signature module of the program. Learners spend most of the session doing, not listening. We tour the major AI coding tools (Cursor, GitHub Copilot, Claude Code, Aider), introduce four prompt patterns, then run a debug lab where each learner fixes a broken FastAPI endpoint using AI as a pair-programmer and documents every prompt. The point is to make AI a habit, not a curiosity.

Amit Ranjan

Free
Module 03

Prompt Engineering for Developers

DevelopmentBeginnerCore track

Prompt Engineering for Developers

Module 02 introduced four patterns. This module goes one layer deeper: few-shot, chaining, output evaluation, and the discipline of a prompt library. The lab is hands-on: each learner builds a small reusable library for one task they actually do.

Amit Ranjan

Free
Module 04

Software Design: SOLID, clean architecture, DDD basics

DevelopmentIntermediateArchitecture track

Software Design: SOLID, clean architecture, DDD basics

Most early-career engineers can recite SOLID but can't spot violations in their own code. This module teaches recognition — then practice — in two languages. We finish with a refactor lab where AI is the pair and the rule is "tests stay green".

Amit Ranjan

Free