Next Gen Docker for Smart Automation for DevOps, GenAI, and Agentic Workflows
Mode: Online
Workshop Duration: Duration: 2 Days ~ 4 hours each session
Dates: 31st July & 1st Aug 2025
Timings: 2:00 PM – 6:00 PM IST (each day)
Overview:
This two-part online workshop equips experienced developers to designed to help AI Ready technology professionals go beyond Docker basics and explore advanced workflows.
Key Objectives:
By the end of the workshop, participants will:
- Implement modern CI/CD automation.
- explore emerging use cases for AI-augmented, development using Docker’s latest toolchain, including the Docker MCP toolbox, Docker Model
- Automate release pipelines using GitHub Actions and Dagger
- Develop intelligent developer environments using devcontainers and MCP
- Run container-native AI experiments with Docker Model Runner and container-use
Prerequisites:
- Working experience with Docker CLI and container lifecycle
- Familiarity with Git, GitHub, and basic CI/CD concepts
- General fluency with command-line tools in Linux/macOS/Windows
- Optional: introductory knowledge of Python, Go, or Node.js
Course Outline
Day 1 (4 Hours)
Module 1: Dev Containers and AI-Augmented Development with MCP
- Introduction to DevContainers using `devcontainer.json`
- Setting up VSCode Remote Containers for development
- Exploring the Docker MCP (Model Context Protocol) toolbox: docker ai` , `docker sbom` ,`docker scout`
- Hands-on: Create an AI-ready developer container with MCP CLI tools pre-installed
Module 2: CI/CD Automation with GitHub Actions and Docker
- Modern Docker CI pipelines with GitHub Actions
- Writing GitHub Actions to build, tag, scan, and publish images
- Integrating `sbom` , `scout` , and security gates in CI
- Hands-on: End-to-end CI pipeline from build to publish with artifact verification
Module 3: Agentic AI Workflow Composition with Dagger
- Introduction to Dagger: workflows as code using Docker
- Using Python/Go SDKs to define and run pipelines
- Configuring LLMs and and Containered Runs with Dagger
- Hands-on: Compose a declarative pipeline using Dagger to build an AI Agent.
Day 2 (4 Hours)
Module 4: Gen AI Containerization with Docker Model Runner
- Overview of Docker Model Runner and use cases
- Running local LLMs (e.g., phi-2, LLaVA) inside containers
- Managing GPU/CPU modes and image compatibility
- Hands-on: Build and run a containerized GetAI app that uses a local model via Model Runner
Module 5: Agentic Workflows using container-use**
- Understanding `container-use` for one-shot agent workflows
- Isolated container executions for AI tools and coding agents
- Composing and running portable agent workflows
- Hands-on: Run a self-debugging and doc-indexing agent stack using container-use