
Explore generative AI foundations, models, and prompt engineering to maximize GitHub Copilot for DevOps and DevSecOps, with hands-on demos, subscriptions insights, and an end-to-end CI/CD case study.
Outline this section's agenda: define generative AI, review examples and usage, cover machine learning basics and model types, and discuss models like GPT, Dall-E, Codex, and why it matters.
Explore the basics of generative AI, from generating images and text to code and music, with examples like Dall-E, ChatGPT, Musenet, and Copilot.
Explore foundational terms of generative AI, including artificial intelligence, machine learning, supervised and unsupervised learning, reinforcement learning, algorithms, training data, models, and real-world use cases.
Learn what a model is through a cake-baking analogy, covering data collection, algorithm, training, and refinements until the final, deployable model.
Explore tokens and embeddings as the building blocks of AI models, including tokenization methods and how text becomes embeddings fed to neural networks for tasks like deployment generation.
Explore the Codex model behind GitHub Copilot, powered by transformer architecture. Learn how unsupervised and supervised learning train on a vast public code dataset to generate relevant code snippets.
Discover how GitHub Copilot, an AI coding assistant, accelerates DevOps and DevSecOps. Explore features and subscription options that shape coding speed and accuracy.
Explore GitHub Copilot features that provide coding suggestions, multi-language support, debugging, refactoring, security checks, and automatic documentation to accelerate DevOps and DevSecOps tasks.
Discover the free GitHub Copilot subscription with code completion and Copilot chat across major development environments and GitHub.com, using cloud 3.5, sonnet, and OpenAI GPT 40 model.
Explore Copilot Pro's 30-day free trial, offering unlimited code completion and chat in IDEs and mobile. Post-trial, the plan costs $10/month; some enterprise features are unavailable.
Discover the GitHub Copilot business subscription: 19 USD per user per month, with unlimited code completion and prompts, mobile chat, file exclusion, organization-wide policy, and audit logs.
Explore the GitHub Copilot enterprise subscription, featuring unlimited code completion and chats, organization-wide policy management with role-based access control, audit logs, and knowledge bases to tailor suggestions to your standards.
Enable and explore GitHub Copilot free subscription on GitHub.com, manage visibility, and use Copilot to explain code and learn prompt engineering for DevOps and DevSecOps workflows.
Master prompt engineering with GitHub Copilot to generate Docker and Terraform code, starting broad then specific, creating an EC2 instance in us east 2 region with the Amazon Linux AMI.
Explore prompt engineering with GitHub Copilot by using an example before task to extract private IP addresses from a log file with a Python script, focusing on specified IP ranges.
Master prompt engineering with GitHub Copilot by breaking complex tasks into simpler steps to build a ci cd pipeline, add static analysis, security scans, and Kubernetes deployment.
Apply the avoid ambiguity strategy in prompt engineering for GitHub Copilot by asking specific file names, like ci.yaml, in ci cd pipeline, detailing builds and deployments to Kubernetes on main.
Create an end-to-end yaml workflow for a devops and devsecops case study using GitHub Copilot, integrating sonarcloud, snyk, and owasp zap.
Download and examine the Copilot case-study repo, configure GitHub Actions CI/CD; integrate SonarCloud, Snyk, and OWASP ZAP scans; and assemble a single end-to-end workflow with secrets.
Clone the copilot case study repo to a local folder, configure sonarcloud project secrets, and generate an end-to-end GitHub actions YAML for sonar, sneak, and zap scans.
Generate an end-to-end ci cd pipeline in GitHub actions with GitHub Copilot in Visual Studio Code, integrating sonar, snyk, and zap scans across three yaml workflow files.
Learn how to push end-to-end GitHub actions workflows with Copilot, run security scans like Zap, Snyk, and SonarQube, and fix branch and Java setup issues.
Disclosure: This course contains the use of artificial intelligence.
In the era of AI-powered software development, GitHub Copilot is revolutionizing how DevOps and DevSecOps engineers write, secure, and automate code. This course is designed to take you from understanding the basics of Generative AI to mastering GitHub Copilot for real-world enterprise DevOps and DevSecOps scenarios.
You'll begin by exploring the fundamentals of GenAI, followed by an in-depth walkthrough of GitHub Copilot’s features, subscriptions, and integration into DevOps workflows. We’ll then dive into prompt engineering strategies specifically tailored for DevOps automation, and security.
The course culminates in a comprehensive, enterprise-grade case study, where you'll implement an end-to-end DevOps pipeline leveraging GitHub Copilot to automate deployments, enforce security policies, and optimize infrastructure. By the end of this course, you'll be equipped to accelerate software delivery, enhance security, and streamline DevOps workflows using AI-driven coding.
What You’ll Learn:
Introduction to Generative AI and its Role in DevOps
Understanding GitHub Copilot: Features, Licensing, and Subscription Plans
Advanced Prompt Engineering Strategies for DevOps & DevSecOps
Automating CI/CD, and Security Scanning with Copilot
Hands-on Enterprise Case Study: Implementing AI-Assisted DevOps at Scale
Who Should Take This Course?
DevOps & DevSecOps Engineers looking to leverage AI for efficiency
Security-focused developers & SREs optimizing CI/CD pipelines
Anyone curious about AI-driven coding in cloud-native environments
Let’s redefine the future of DevOps with GitHub Copilot!