Course
AI for DevOps
33 hours 18 minutes
Credits: Optional Learning
Description
This course teaches learners how to understand, apply, and integrate generative AI across IT and DevOps workflows. It begins with foundational generative AI concepts, prompting techniques, and ethical considerations, then advances into applying AI within IT automation and operations, and finally focuses on building AI-powered DevOps capabilities including CI/CD pipelines, test automation, infrastructure orchestration, monitoring, and release management.
What Students Will Learn
Chapter 1: Activate
- Generative AI, Prompting and Ethics Awareness (Beginner)
- An Introduction to Generative AI
- An Introduction to GPT Models
- Artificial Intelligence and Machine Learning
- Deep Learning and Neural Networks
- Getting Started with Prompt Engineering
- Exploring Prompt Engineering Techniques
- Case Studies in Prompt Engineering
- Considerations for Using AI Responsibly
Chapter 2: Accelerate
- Generative AI Foundations: IT Integration with Generative AI
- Generative AI Foundations: Advanced Generative AI Techniques for IT
- Generative AI Foundations: Ethical & Responsible Use of AI in IT
- AI in IT Automation: Integrating AI Automation in IT Operations
- AI in IT Automation: Developing AI-powered IT Solutions
Chapter 3: Transform
- Introduction to Using AI-powered DevOps
- Using AI-powered Cloud Platforms for DevOps
- AI Tools for DevOps CI/CD Pipelines
- AI Test Automation for DevOps
- AI Infrastructure Orchestration for DevOps
- AI Monitoring & Observability for DevOps
- AI Release Management for DevOps
- Future of AI in DevOps
Optional
- Generative AI Security: Theories and Practices
- Generative AI: Navigating the Course to the Artificial General Intelligence Future
- AWS DevOps Engineer Professional Certification Guide
- The Quick Guide to Prompt Engineering
- DevOps Automation Cookbook
- Investments Unlimited: A Novel About DevOps, Security, Audit Compliance, and Thriving in the Digital Age
Overall Learning Outcomes
- Explain generative AI fundamentals, GPT models, and core machine learning and deep learning concepts
- Apply prompt engineering techniques and evaluate real-world case studies in prompt design
- Use generative AI responsibly by applying ethical and compliance considerations
- Integrate generative AI into IT operations and develop AI-powered IT solutions
- Apply ethical and responsible AI use principles within IT contexts
- Use AI-powered tools and platforms to automate DevOps workflows, including cloud platforms and CI/CD pipelines
- Implement AI-driven test automation, infrastructure orchestration, monitoring, observability, and release management in DevOps
- Evaluate emerging trends and the future direction of AI within DevOps practices
- Demonstrate beginner-level competency in generative AI, prompting, and ethics awareness