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 Duration 14 hours

Course Outline

Introduction to AI Inference with Docker

  • Comprehending AI inference workloads
  • Advantages of containerized inference
  • Deployment scenarios and associated constraints

Constructing AI Inference Containers

  • Choosing appropriate base images and frameworks
  • Packaging pretrained models
  • Structuring inference code for containerized execution

Securing Containerized AI Services

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

Techniques for Portable Deployment

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

Local Deployment and Testing

  • Executing services locally using Docker
  • Debugging inference containers
  • Evaluating performance and reliability

Deployment on Servers and Cloud VMs

  • Adapting containers for remote environments
  • Configuring secure server access
  • Deploying inference APIs on cloud virtual machines

Leveraging Docker Compose for Multi-Service AI Systems

  • Orchestrating inference alongside supporting components
  • Managing environment variables and configurations
  • Scaling microservices using Compose

Monitoring and Maintaining AI Inference Services

  • Implementing logging and observability practices
  • Identifying failures within inference pipelines
  • Updating and versioning models in production

Summary and Next Steps

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

Upcoming Courses

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

2026-11-06 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

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

2026-11-20 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

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

2026-12-04 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

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

2026-12-18 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

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

2027-01-01 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

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

2027-01-15 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

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