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DevOps and GenAI using .NET, Azure OpenAI and GitHub

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DevOps and GenAI using .NET, Azure OpenAI and GitHub

Instructor: Packt - Course Instructors

Included with Learn more

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand AI's role in DevOps processes
Integrate AI tools into GitHub and Azure-based pipelines
Apply AI governance practices for secure DevOps workflows

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There are 7 modules in this course

This course explores the integration of Generative AI into modern DevOps workflows. It covers AI-assisted automation, pipelines, and agentic systems. Learners gain practical skills using .NET, Azure OpenAI, and GitHub.

This course begins by establishing a strong foundation in Generative AI within the DevOps ecosystem, explaining how AI enhances efficiency, decision-making, and automation across the software delivery lifecycle. Learners explore key concepts such as AI-assisted versus autonomous DevOps, along with critical risk considerations including hallucinations, model drift, and operational reliability. The course then transitions into practical implementation, where learners apply AI to real DevOps scenarios such as infrastructure as code, pipeline generation, testing strategies, release automation, and incident response. Through guided demonstrations, learners gain hands-on experience integrating AI into workflows using tools like .NET, Azure OpenAI, and GitHub, improving speed, consistency, and delivery outcomes. In the final phase, advanced topics such as enterprise governance, secure integration patterns, and agentic AI systems are explored in depth. Learners design intelligent pipelines, orchestrate AI-driven workflows, and implement autonomous agents with observability and control, enabling scalable, secure, and production-ready DevOps practices aligned with modern enterprise needs. This course is ideal for DevOps professionals, engineers, and IT managers looking to leverage AI to optimize their workflows. A basic understanding of DevOps concepts and tools such as GitHub and cloud services is recommended for participants. The course combines theory with hands-on demonstrations using real-world tools. You'll progress from basic AI concepts to advanced topics like AI agents in DevOps workflows. The practical approach ensures you can immediately apply your knowledge. This course is based on DevOps and GenAI using .NET, Azure OpenAI and GitHub, by Trevoir Williams. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

This module provides an overview of the course structure, objectives, and the tools used in DevOps and GenAI. Learners will gain clarity on how the course is organized and the integration of key technologies in a modern development environment.

What's included

2 videos

This module explores how generative AI enhances DevOps workflows, covering its applications throughout the development lifecycle, risks involved, and strategies for safe integration. Learners will gain insights into AI-driven efficiency, decision-making, and risk mitigation in real-world DevOps scenarios.

What's included

6 videos1 assignment

This module explores how AI enhances DevOps workflows by improving infrastructure management, CI/CD pipeline efficiency, test strategies, and release documentation. Learners will gain practical insights into AI-driven tools and their real-world applications in DevOps practices.

What's included

8 videos1 assignment

8 videosTotal 50 minutes

Section Overview0 minutes
AI-Assisted Infrastructure as Code (IaC)1 minute
Demo: AI-Assisted Infrastructure as Code (Bicep + GitHub Copilot)13 minutes
Demo: Pipeline Authoring and Optimization Using AI10 minutes
Demo: AI for Test Strategy and Release Confidence10 minutes
Demo: AI-Assisted Release Notes Automation10 minutes
Demo: AI-Assisted Incident Response and Root Cause Analysis5 minutes
Section Review1 minute

1 assignmentTotal 16 minutes

Practical Generative AI in DevOps16 minutes

This module explores the integration of AI tools into DevOps practices, focusing on governance, enterprise readiness, and responsible AI adoption. Learners will gain insights into selecting and implementing AI solutions while ensuring compliance, accountability, and operational effectiveness.

What's included

8 videos1 assignment

8 videosTotal 33 minutes

Section Overview1 minute
Enterprise AI Tooling Landscape for DevOps6 minutes
Review of AI Tooling Used in DevOps6 minutes
Establishing AI Guardrails for Enterprise DevOps Teams6 minutes
Auditing, Accountability, and Operational Oversight2 minutes
Creating an AI Adoption Playbook for Your Organization5 minutes
Measuring ROI of AI in DevOps6 minutes
Section Review1 minute

1 assignmentTotal 16 minutes

Enterprise Readiness and AI Governance for DevOps16 minutes

This module provides learners with the knowledge and skills to integrate generative AI into DevOps pipelines. It covers key aspects such as provisioning AI engines, designing deterministic workflows, orchestrating tasks in GitHub Actions, and implementing secure and efficient AI-assisted processes. Learners will also explore observability, cost management, and context engineering for improved AI performance.

What's included

10 videos1 assignment

10 videosTotal 59 minutes

Section Overview1 minute
Provisioning and Connecting to an AI Engine6 minutes
Designing Deterministic AI Workflow Steps7 minutes
Orchestrating AI Jobs in GitHub Actions5 minutes
Context Engineering for DevOps AI8 minutes
Cost and Performance Management for AI Pipelines10 minutes
Observability and Feedback Loops for AI-Assisted Pipelines6 minutes
Secure Integration Patterns (Technical Security)6 minutes
AI-Augmented ChatOps8 minutes
Section Review2 minutes

1 assignmentTotal 16 minutes

Integrating Generative AI into DevOps Pipelines16 minutes

This module explores the integration of agentic AI in DevOps workflows, covering the design, implementation, and evaluation of intelligent agents. Learners will gain hands-on experience with building and testing AI agents in CI/CD pipelines, GitHub workflows, and multi-agent systems. The module also emphasizes best practices for memory management, interoperability, and observability in AI-driven DevOps environments.

What's included

23 videos1 assignment

23 videosTotal 139 minutes

Section Overview1 minute
AI Agents 101: Anatomy of an Agent4 minutes
Agentic AI in CI/CD Pipelines (Safe and Unsafe Use Cases)3 minutes
Demo: Developing a Minimal DevOps Agent8 minutes
Demo: Adding Minimal Agent to a GitHub Workflow5 minutes
Agent Failure Modes in Production5 minutes
Progressive Autonomy Design Model6 minutes
Agentic Patterns in DevOps Workflows (PRs, Builds, Incidents)3 minutes
Demo: Developing a PR Code Quality Suggesting Agent8 minutes
Demo: Integrating Agent into PR Code Quality Assessment Workflow7 minutes
Memory in Agentic Systems: What to Store and What Not to Store3 minutes
Demo: Adding Workflow-Level Memory to a DevOps Agent11 minutes
Tools and MCP: Standardizing Context and Actions Across Agents3 minutes
Demo: Build an MCP Server for GitHub Tooling15 minutes
Demo: Extend the Agent with MCP Tools9 minutes
Demo: Test and Verify the GitHub Workflow Using the MCP Agent6 minutes
Multi-Agent Systems for Incident Response6 minutes
Demo: Creating a Multi-Agent Implementation11 minutes
Demo: Testing a Multi-Agent Workflow4 minutes
Observability and Evaluation of AI Agents5 minutes
Demo: Adding Observability and Evaluation to an Agent12 minutes
Demo: Visualizing Agent OpenTelemetry with Aspire6 minutes
Section Review1 minute

1 assignmentTotal 16 minutes

Agentic AI in Advanced DevOps Scenarios16 minutes

This module reviews the key concepts from the course and provides practical recommendations for implementing DevOps and GenAI in real-world situations. Learners will gain insights into how to apply these technologies effectively and efficiently.

What's included

1 video1 assignment

Instructor

Packt - Course Instructors

Packt

2,238 Courses656,908 learners

Offered by

Packt

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.