Agile Project Management: Comparing Agile Tools
1h 44mIntermediate2025-01-23
Authors

Doug Rose
Teaching Fortune 500s and professionals how to lead change
Course details
The agile mindset is an exciting way to quickly deliver higher-quality products. This course helps you compare the strengths and weaknesses of several top agile software tools. These include Microsoft Excel, Atlassian JIRA, Trello, Microsoft Azure DevOps, and AI-powered tools like Llama. The course highlights the advantages of simple tools like spreadsheets and more complex product management packages. This course helps project managers, software developers, agile coaches and other professionals determine which tool is the best fit for their team. Agile expert Doug Rose provides a fast-paced tour and an unvarnished look at what some of the tools get right and what some get wrong. Doug concludes each section with suggested strategies for selecting the right tool for your team—always remembering that no tool should ever overshadow the core values of the agile manifesto.
Learning objectives
Analyze the key features and benefits of Excel, JIRA, Trello, and Azure DevOps for agile project management.
Practice creating and managing a product backlog in both Trello and Azure DevOps, and describe the advantages of these tools over traditional methods.
Compare the setup and tracking processes of sprints in JIRA and Azure DevOps, and explain how these tools can be integrated into a team's agile workflow.
Discover how to use AI-powered tools like Llama to enhance agile project management practices, including prompt engineering for user stories and task prioritization.
Create a comprehensive plan to implement agile project management tools in a team environment, considering factors like team size, project complexity, and existing workflows.
Learning objectives
Analyze the key features and benefits of Excel, JIRA, Trello, and Azure DevOps for agile project management.
Practice creating and managing a product backlog in both Trello and Azure DevOps, and describe the advantages of these tools over traditional methods.
Compare the setup and tracking processes of sprints in JIRA and Azure DevOps, and explain how these tools can be integrated into a team's agile workflow.
Discover how to use AI-powered tools like Llama to enhance agile project management practices, including prompt engineering for user stories and task prioritization.
Create a comprehensive plan to implement agile project management tools in a team environment, considering factors like team size, project complexity, and existing workflows.
Skills covered
Agile Project ManagementProject ManagementOne-Off
Concepts
0. Introduction
- 01 - Kickstart your agile journey - A guide to agile tools
- 02 - How to evaluate agile tools
- 03 - What you should know
- 04 - Remember agile values
1. Staying Lightweight with Microsoft Excel
- 05 - Explore the benefits of Excel
- 06 - How to create a spreadsheet backlog
- 07 - Ways to show the team's progress
2. Plugging into Atlassian's JIRA
- 08 - Log into JIRA
- 09 - How to build a JIRA backlog
- 10 - Set up team sprints
- 11 - Create tasks from user stories
- 12 - Configure your task board
- 13 - Use epics to group your stories
- 14 - Complete a JIRA sprint
- 15 - Summary of JIRA
3. Collaborating with Trello Cards
- 16 - Log into Trello
- 17 - Create a product backlog with Trello cards
- 18 - What to put on your Trello cards
- 19 - How to prioritize cards on your board
- 20 - Plan out your sprint
- 21 - Break user story cards into tasks
- 22 - Track cards across the board
- 23 - Close out boards at the end of a sprint
4. Going Big with Microsoft Azure
- 24 - An overview of Azure DevOps
- 25 - Create an Azure DevOps account
- 26 - Select the scrum process
- 27 - Start an Azure product backlog
- 28 - Organize Azure stories on a backlog board
- 29 - Add Azure stories to sprints
- 30 - Create Azure tasks for the sprint task board
- 31 - Track progress with Azure dashboard
- 32 - Summary of Azure
5. Embracing AI Chatbots
- 33 - Understanding large language models (LLMs)
- 34 - Large Language Model Meta AI (Llama)
- 35 - Get up and running with Ollama
- 36 - Prompts for user stories
- 37 - Prompts for coaching
- 38 - GPT prompts for user stories
- 39 - GPT prompts for coaching
Conclusion
- 40 - Tools needed to support the agile mindset