Get in Touch
 Duration 14 hours

Course Outline

Introduction to AI Inference with Docker

  • Exploring AI inference workloads
  • The advantages of containerized inference
  • Assessing deployment scenarios and constraints

Creating AI Inference Containers

  • Choosing appropriate base images and frameworks
  • Packaging pretrained models
  • Designing inference code for container execution

Enhancing Security for Containerized AI Services

  • Reducing the container attack surface
  • Handling secrets and sensitive files
  • Strategies for safe networking and API exposure

Techniques for Portable Deployment

  • Optimizing images for maximum portability
  • Maintaining predictable runtime environments
  • Managing dependencies across different platforms

Local Deployment and Testing

  • Executing services locally via Docker
  • Troubleshooting inference containers
  • Evaluating performance and reliability

Deployment on Servers and Cloud VMs

  • Tailoring containers for remote environments
  • Setting up secure server access
  • Implementing inference APIs on cloud virtual machines

Leveraging Docker Compose for Multi-Service AI Systems

  • Coordinating inference with supporting components
  • Managing environment variables and configurations
  • Scaling microservices using Compose

Monitoring and Maintaining AI Inference Services

  • Approaches to logging and observability
  • Identifying failures within inference pipelines
  • Updating and versioning models in production

Conclusion and Future Directions

Requirements

  • A foundational understanding of basic machine learning concepts.
  • Practical experience with Python or backend development.
  • Familiarity with core containerization concepts.

Target Audience

  • Software Developers
  • Backend Engineers
  • Teams responsible for deploying AI services

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (2)

As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .

Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes

multi-tiered, structured course programme.

Bert Paelinckx - Cube SoftwareSolutions
Course - Introduction to Docker

Provisional Upcoming Courses (Require 5+ participants)

Secure & Portable AI Inference with Docker: From Local to Cloud

2026-11-10 09:30
14 hours
Auckland, ANZ Centre
5480 NZD (Online)
14280 NZD (Classroom)

Secure & Portable AI Inference with Docker: From Local to Cloud

2026-11-24 09:30
14 hours
Wellington, Plimmer Towers
5480 NZD (Online)
12980 NZD (Classroom)

Secure & Portable AI Inference with Docker: From Local to Cloud

2026-12-08 09:30
14 hours
Te Pou Toetoe Linwood
5480 NZD (Online)
12980 NZD (Classroom)

Secure & Portable AI Inference with Docker: From Local to Cloud

2026-12-22 09:30
14 hours
Auckland, ANZ Centre
5480 NZD (Online)
14280 NZD (Classroom)

Secure & Portable AI Inference with Docker: From Local to Cloud

2027-01-05 09:30
14 hours
Wellington, Plimmer Towers
5480 NZD (Online)
12980 NZD (Classroom)

Related Courses

Advanced Docker

 14 Hours

This instructor-led, live training in New Zealand (delivered online or onsite) targets engineers who aim to elevate their Docker proficiency to deploy applications at a greater scale while preserving control.

By the end of this training, participants will be able to:

  • Build their own Docker images.
  • Deploy and manage a large number of Docker applications.
  • Evaluate different container orchestration solutions and select the most suitable one.
  • Set up a continuous integration process for Docker applications.
  • Integrate Docker applications with existing continuous integration processes.
  • Secure their Docker applications.
Read more...

Containerized AI & ML Deployment with Docker

 14 Hours
This live, instructor-led course on New Zealand equips intermediate professionals with the skills to containerise AI and ML workloads using Docker. Participants will learn to build optimised images, manage dependencies, and deploy reliable pipelines, acquiring the hands-on expertise necessary for consistent and portable production environments.
Read more...

CI/CD for AI: Automating Docker-Based Model Builds and Deployments

 21 Hours
This live training in New Zealand focuses on automating Docker-based AI model builds and deployments via CI/CD. It addresses packaging, testing, version control, and deployment strategies for MLOps. Participants will develop practical skills in pipeline creation and secure container management.
Read more...

Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours
This instructor-led, live training in New Zealand covers the Certified Kubernetes Administrator (CKA) exam. It provides hands-on experience with Kubernetes architecture, networking, security, and troubleshooting. It is ideal for administrators seeking certification or practical cluster management skills.
Read more...

Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours
This instructor-led CKAD training in New Zealand equips developers for the Certified Kubernetes Application Developer exam through practical hands-on labs. It covers designing, building, and securing cloud-native apps using core Kubernetes concepts, deployment strategies, and networking fundamentals.
Read more...

Introduction to Docker

 14 Hours
This instructor-led, live training in New Zealand delves into the core concepts of Docker, enabling participants to automate the build, ship, and run processes for applications inside containers. You will develop hands-on proficiency in Docker installation, image management, networking, and registry operations.
Read more...

Container Platforms Administration with Docker, Kubernetes and OpenShift

 35 Hours

Learn how to build, deploy and administer containerised environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants gain the skills needed to operate modern container platforms and troubleshoot applications across development and production environments.

Read more...

Docker and Kubernetes: Building and Scaling a Containerized Application

 21 Hours

In this instructor-led, live training in New Zealand (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerised applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

  • Set up and run a Docker container.
  • Deploy a containerised server and web application.
  • Build and manage Docker images.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage a clustered web application.
  • Secure, scale and monitor a Kubernetes cluster.
Read more...

Docker for MLOps: End-to-End Pipeline Containerization

 21 Hours
This instructor-led training in New Zealand walks professionals through the process of containerising complete ML pipelines with Docker. Learners will gain expertise in creating reproducible environments, orchestrating training and inference workloads, and establishing CI/CD for scalable MLOps deployments.
Read more...

Docker and Kubernetes

 21 Hours

Training objectives: Gain theoretical and practical skills in Docker and Kubernetes.

Read more...

GPU-Accelerated AI & Deep Learning with Docker Containers

 21 Hours
This instructor-led training in New Zealand assists intermediate professionals in configuring and optimising GPU-enabled AI workloads within Docker containers. Participants will learn to build CUDA-compatible images, manage multi-GPU tasks, and deploy scalable deep learning services suited for production environments.
Read more...

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

 21 Hours
This instructor-led training in New Zealand focuses on deploying AI inference across cloud, on-premise, and edge environments using Docker. Participants will learn to build secure containerized AI services, integrate orchestration tools, and optimize latency and resilience for distributed workloads.
Read more...

Kubernetes from Basic to Advanced

 14 Hours

In this instructor-led live training in New Zealand (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerised servers within a Kubernetes cluster. The training then advances to more complex topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

  • Set up and run a Docker container.
  • Deploy containerised databases and servers.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage different environments under the same cluster.
  • Secure, scale and monitor a Kubernetes cluster.
Read more...

Building Microservices with Spring Cloud and Docker

 21 Hours

In this instructor-led, live training in New Zealand, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Their understanding will be tested through hands-on exercises and the step-by-step development of sample microservices.

By the end of this training, participants will be able to:

  • Understand the core principles of microservices.
  • Use Docker to build containers for microservice applications.
  • Build and deploy containerised microservices using Spring Cloud and Docker.
  • Integrate microservices with discovery services and the Spring Cloud API Gateway.
  • Use Docker Compose for end-to-end integration testing.
Read more...

Building Microservices with Spring Cloud and Docker - 5 Days

 35 Hours

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level developers and DevOps engineers who aspire to build, deploy, and manage microservices using Spring Cloud and Docker.

By the conclusion of this training, participants will be able to:

  • Develop microservices leveraging Spring Boot and Spring Cloud.
  • Containerise applications using Docker and Docker Compose.
  • Implement service discovery, API gateways, and inter-service communication.
  • Monitor and secure microservices within production environments.
  • Deploy and orchestrate microservices using Kubernetes.
Read more...

Related Categories

Docker
Docker