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 Duration 14 hours

Course Outline

Introduction to AI Inference with Docker

  • Exploring the nature of AI inference workloads
  • Advantages of using containers for inference
  • Various deployment scenarios and their constraints

Creating AI Inference Containers

  • Choosing appropriate base images and frameworks
  • Packaging pre-trained models effectively
  • Designing inference code for optimal container execution

Protecting Containerized AI Services

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

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 using Docker
  • Troubleshooting inference containers
  • Evaluating performance and reliability

Deployment on Servers and Cloud VMs

  • Adapting containers for remote environments
  • Setting up secure access to servers
  • Launching inference APIs on cloud virtual machines

Leveraging Docker Compose for Multi-Service AI Systems

  • Coordinating inference with auxiliary components
  • Managing environment variables and configurations
  • Scaling microservices via Compose

Monitoring and Maintaining AI Inference Services

  • Approaches to logging and observability
  • Identifying failures within inference pipelines
  • Managing model updates and versioning in production

Conclusion and Future Steps

Requirements

  • A grasp of fundamental machine learning principles
  • Experience with Python or backend development
  • Basic familiarity with containerization concepts

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

2026-11-09 09:30
14 hours
Antalya
29025 TRY (Online)
29425 TRY (Classroom)

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

2026-11-23 09:30
14 hours
Istanbul, Taksim
29025 TRY (Online)
29425 TRY (Classroom)

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

2026-12-07 09:30
14 hours
Ankara
29025 TRY (Online)
29425 TRY (Classroom)

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

2026-12-21 09:30
14 hours
Antalya
29025 TRY (Online)
29425 TRY (Classroom)

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

2027-01-04 09:30
14 hours
Istanbul, Taksim
29025 TRY (Online)
29425 TRY (Classroom)

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