This article provides best practices and example responses for each of the five questions within the skill definition step for Skills Mapping and AI-powered learning paths.
- Learn how to create a Skills Mapping and AI-powered learning path.
Please note:
- Skills Mapping and AI-powered learning paths are available to Enterprise Plan organizations at no additional cost.
- Udemy’s Role Plays are available in select languages. Learn more about supported languages for Udemy's GenAI tools.
Question 1: Describe the overall theme of your learning path in 10 words or less. This information will be used to create the name of your learning path.
- Best practice: When considering the theme of your learning path, keep the goals and needs of both your organization and your employees in mind. Ensure that your response is clear, focused, and concise. Do not use profanity or mention competitor content.
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Example responses:
- Configuration management and infrastructure as code
- SBI framework for performance reviews
- Data collection and exploration using MySQL
- Using AI in a marketing role
- AWS Systems Manager for automated solutions
Question 2: What do you want the learners to know and be able to do by the end of the learning path? Include one or more specific skills.
- Best practice: Be specific about the knowledge and skills learners need to complete their job-related tasks. Use action verbs such as “analyze,” “synthesize,” “apply,” “evaluate,” and “create”, making sure to consider the depth levels from Bloom’s Taxonomy. Align these skills with the learning goals and theme from the first question and ensure that the skills are measurable. Do not use profanity or mention competitor content. You can find extensive resources online regarding Bloom's taxonomy.
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Example responses:
- Configure auto-scaling and load balancing in AWS.
- Develop Ansible scripts for automation of configuration tasks.
- Automate CI/CD pipelines for infrastructure code changes.
- Implement logging and monitoring solutions for infrastructure.
Question 3: Which tools or technologies (if any) would you like the learning path to include?
- Best practice: Ensure that the tools and technologies support learners in acquiring the skills outlined in question two. Be as precise as possible about the tools you’d like to see included.
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Example responses:
- Terraform, Ansible, Kubernetes, and Docker
Question 4: Which audience is this learning path intended for?
- Best practice: When considering the learners who will take this learning path, take into account the following factors:
- Scope: Is the learning path intended for the entire company or specific department(s)?
- Roles: What are the roles of the employees within the company?
- Experience Levels: Are the employees managers, individual contributors (ICs), or at other levels?
- Prior Experience: What prior experience do the employees have?
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Example responses:
- Mid-level DevOps engineers
- Managers from Product, Design, and Engineering Departments that have completed an entry-level course on GenAI
- Senior DevOps Engineers with 5+ Years of Kubernetes Experience
- Mid-Level AWS Solution Architects that have earned the AWS Certified Solutions Architect - Associate Certification
Question 5: How proficient is the audience in these particular skills?
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Best practice: Consider the employees’ prior experience in the skill area:
- Beginner: Limited or no prior experience; building foundational understanding.
- Intermediate: Some knowledge and proficiency; can apply skills to real-world situations with occasional guidance.
- Expert: High mastery and proficiency; adept at addressing complex problems.
The answers to these questions will be used to identify the relevant skills and Udemy Business course content that match your upskilling needs.
Please note: In order to avoid failures when generating your skills tree, do not use profanity or mention competitor content.