DevOps integrates software development and IT operations through collaboration, automation, continuous delivery, and shared responsibility. AI extends this work into infrastructure deployment, code review, testing, and workflow improvement. section 12.0
AI-supported DevOps work includes:
- Automating infrastructure and reviewing code changes. section 12.0
- Converting large PowerShell test suites and managing bulk code updates. section 12.0
- Improving testing solutions and integrating AI into CI/CD workflows. section 12.0
Planning an AI-focused DevOps skill path
A targeted prompt can ask ChatGPT to identify in-demand AI skills, related tools, learning resources, certifications, career paths, and a six-month plan with milestones and projects. Typical areas include MLOps, cloud-native AI deployment, automation, model monitoring, and data pipeline optimization. section 17.2.2
Table 17.2 Prompts for skill development
|
Purpose
|
Prompt
|
|---|---|
|
Identify emerging skills
|
What are the top 5 emerging skills in [your field] for the next 2 years?
|
|
Create a learning plan
|
Based on my current skills in [your field], suggest a 6-month learning plan to stay competitive.
|
|
Find learning resources
|
Recommend the best resources to learn [specific skill] for a [your role] professional.
|
Use the skill-development prompt table to identify emerging skills, create a learning plan, or find resources for a specific DevOps role. section 17.2.1
