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 Duration 14 hours

Course Outline

Introduction to AI Inference with Docker

  • Analyzing AI inference workloads
  • Advantages of containerized inference
  • Evaluating deployment scenarios and constraints

Creating AI Inference Containers

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

Securing Containerized AI Services

  • Reducing the container attack surface
  • Handling secrets and sensitive data securely
  • Implementing safe networking and API exposure protocols

Techniques for Portable Deployment

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

Local Deployment and Testing

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

Deployment on Servers and Cloud VMs

  • Adapting containers for remote environments
  • Configuring secure access to servers
  • 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 Maintenance of AI Inference Services

  • Adopting logging and observability strategies
  • Identifying failures within inference pipelines
  • Updating and versioning models in production settings

Conclusion and Recommended Next Steps

Requirements

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

Target Audience

  • 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

2026-11-05 09:30
14 hours
Brasov, Calea Bucuresti Street
495 EUR (Online)
895 EUR (Classroom)

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

2026-11-19 09:30
14 hours
Sibiu
495 EUR (Online)
895 EUR (Classroom)

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

2026-12-03 09:30
14 hours
Cluj-Napoca, Pitești Street
495 EUR (Online)
895 EUR (Classroom)

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

2026-12-17 09:30
14 hours
Timisoara, Iosif Bulbuca Boulevard
495 EUR (Online)
895 EUR (Classroom)

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

2026-12-31 09:30
14 hours
Constanta, Mircea cel Batran Street
495 EUR (Online)
895 EUR (Classroom)

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