Course
AI for DevOps
48 hours 01 minutes
Credits: Optional Leanring
Description
In this course, learners will develop a comprehensive understanding of DevOps principles and practices, enhanced by generative AI capabilities — from foundational culture and toolchain selection through to AI-powered automation, cloud deployment, and the future of intelligent DevOps. Learners will explore DevOps culture and mindset, the DevOps lifecycle, Agile and DevOps methodologies, and MLOps principles, before implementing CI/CD pipelines and continuous testing approaches. They will build a strong generative AI foundation covering GPT models, machine learning, deep learning, prompt engineering, and responsible AI use, then apply AI to IT integration, automation, and the development of AI-powered IT solutions. The course then examines how AI transforms every stage of the DevOps pipeline — including CI/CD, test automation, infrastructure orchestration, monitoring and observability, and release management — before concluding with DevOps cloud strategy and automation across AWS, Azure, and Google Cloud Platform.
What Students Will Learn
- DevOps Mindset for Leadership
- DevOps - More Than Just Dev & Ops
- Building a DevOps Culture
- Maturing DevOps Practice in the Enterprise
- DevOps Lifecycle and Toolchain
- DevOps Tools: Selecting the Right Tools
- DevOps Agile Development: Agile Processes for DevOps
- DevOps Agile Development: DevOps Methodologies for Developers
- Introduction to DevOps Principles for Machine Learning
- CI/CD Implementation for DevOps
- DevOps Continuous Testing: Testing Approaches
- DevOps Continuous Testing: Testing Methodologies
- 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
- 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
- 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
- DevOps and Cloud Strategy
- DevOps Cloud Automation: AWS DevOps Tools
- DevOps Cloud Automation: Advanced AWS Pipelines and DevOps Using Azure
- DevOps Cloud Automation: DevOps with Google Cloud Platform
- 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 DevOps culture, mindset, and leadership principles and describe the DevOps lifecycle and toolchain
- Select and apply appropriate DevOps tools and mature DevOps practices across enterprise environments
- Apply Agile methodologies within a DevOps context, including MLOps fundamentals for machine learning workflows
- Implement CI/CD pipelines and apply continuous testing approaches and methodologies
- Explain generative AI, GPT models, machine learning, deep learning, and neural network concepts
- Apply structured prompt engineering techniques to design effective and responsible AI interactions
- Integrate generative AI into IT operations and develop AI-powered IT solutions using advanced techniques
- Apply AI automation to IT operations including infrastructure, monitoring, and service management
- Use AI to enhance CI/CD pipelines, test automation, infrastructure orchestration, and release management
- Apply AI-powered monitoring and observability tools to maintain DevOps system health and performance
- Deploy and manage DevOps workflows across AWS, Azure, and Google Cloud Platform
- Evaluate the future trajectory of AI in DevOps and prepare for emerging AI-driven engineering practices

