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Agile With AI

This course is part of Rust for Data Engineering Specialization

Instructor: Noah Gift

Included with

Learn more

5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Adapt agile ceremonies to your team's actual workflow — drop the rituals that don't generate value, keep the ones that shorten feedback loops
Apply pragmatic project-management patterns using Trello and spreadsheets — small-batch work, lightweight artifacts, weekly cadence, blameless retros
Integrate AI workflows into engineering practice — diagram prompt engineering, summarization with Claude, AI pair programming
Recognize and avoid the project-management anti-patterns that produce ticket-shaped work and status theater

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Rust for Data Engineering Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

This course pairs pragmatic agile method with AI-assisted engineering practice. Across five modules you trace the historical arc from waterfall to agile, internalize the playground-vs-plant mental model, learn root-cause analysis via the five-whys habit, sharpen technical communication and demos, structure project management with the lightest possible artifacts (Trello and spreadsheets over heavy tools), and apply AI workflows — diagram prompt engineering, summarization with Claude, AI pair programming, AWS CodeWhisperer for Rust, Bedrock-backed serverless architectures, RAG with Bedrock Knowledge Bases, and local speech-to-text with whisper.cpp. By the end you can adapt agile to your team rather than the other way around, recognize the anti-patterns that turn ceremonies into theater, and integrate AI tooling into a development loop that ships rather than just demos. Pragmatic, opinionated, and grounded in named patterns rather than methodology cargo-cult.

Module details

Welcome to Agile With AI. This module orients you to the course goals, structure, and how to get the most out of the lessons ahead. You'll meet your instructor, preview the journey from foundational Agile principles through hands-on AI-assisted project workflows, and set expectations for the practical skills you'll build along the way.

What's included

1 video2 readings

Before learning what Agile is, you need to understand what it isn't. This module compares the traditional Waterfall methodology with Agile thinking, then walks through a concrete planning exercise — building a playground — to show how iterative, feedback-driven planning works in practice. You'll see why rigid up-front specifications fail in modern software contexts and how Agile addresses those failures.

What's included

2 videos4 readings

Agile is more than a methodology — it's a mindset for navigating uncertainty. This module dives into the pragmatic application of Agile principles, including sprint planning, retrospectives, and the Five Whys technique for root-cause analysis. You'll also explore how AI tools can amplify team productivity within an Agile workflow.

What's included

3 videos6 readings

The largest module of the course. Strong technical communication is the connective tissue of effective Agile teams. This module covers giving and receiving feedback, running productive technical discussions, structuring effective meetings, applying DevOps principles, and using project management tools like Trello and spreadsheets. You'll also learn to recognize and avoid common project management anti-patterns.

What's included

12 videos24 readings

12 videosTotal 49 minutes

Effective Tech Discussions: Intro2 minutes
Technical Demo11 minutes
Demo Videos2 minutes
Effective Critical Thinking5 minutes
Effective Triple Threat3 minutes
Effective Technical Teamwork: Intro0 minutes
Effective Technical Teamwork6 minutes
Project Management: Intro2 minutes
Technical Project Management5 minutes
Project Management with Trello4 minutes
Planning with Spreadsheets5 minutes
Project Management Anti-Patterns5 minutes

24 readingsTotal 240 minutes

Key Terms: Effective Tech Discussions: Intro10 minutes
Reflection: Effective Tech Discussions: Intro10 minutes
Key Terms: Technical Demo10 minutes
Reflection: Technical Demo10 minutes
Key Terms: Demo Videos10 minutes
Reflection: Demo Videos10 minutes
Key Terms: Effective Critical Thinking10 minutes
Reflection: Effective Critical Thinking10 minutes
Key Terms: Effective Triple Threat10 minutes
Reflection: Effective Triple Threat10 minutes
Key Terms: Effective Technical Teamwork: Intro10 minutes
Reflection: Effective Technical Teamwork: Intro10 minutes
Key Terms: Effective Technical Teamwork10 minutes
Reflection: Effective Technical Teamwork10 minutes
Key Terms: Project Management Intro10 minutes
Reflection: Project Management Intro10 minutes
Key Terms: Technical Project Management10 minutes
Reflection: Technical Project Management10 minutes
Key Terms: Project Management with Trello10 minutes
Reflection: Project Management with Trello10 minutes
Key Terms: Planning with Spreadsheets10 minutes
Reflection: Planning with Spreadsheets10 minutes
Key Terms: Project Management Anti-Patterns10 minutes
Reflection: Project Management Anti-Patterns10 minutes

Bring it all together: Agile mindset plus AI-powered tools. This module shows how generative AI reshapes the software development lifecycle — from AIOps and pair programming with AI assistants to building serverless GenAI architectures with AWS Bedrock, retrieval-augmented generation (RAG) agents, and exploring core GenAI building blocks. By the end, you'll be ready to integrate AI into your own Agile development workflow.