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Course Outline

Introduction to AI Inference with Docker

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

Building AI Inference Containers

  • Selecting appropriate base images and frameworks.
  • Packaging pretrained models.
  • Structuring inference code for container execution.

Securing Containerized AI Services

  • Minimizing the container attack surface.
  • Managing secrets and sensitive files effectively.
  • Implementing safe networking and API exposure strategies.

Portable Deployment Techniques

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

Local Deployment and Testing

  • Running services locally using Docker.
  • Debugging inference containers.
  • Evaluating performance and reliability through testing.

Deploying on Servers and Cloud VMs

  • Adapting containers for remote environments.
  • Configuring secure server access.
  • Deploying inference APIs on cloud VMs.

Using Docker Compose for Multi-Service AI Systems

  • Orchestrating inference alongside supporting components.
  • Managing environment variables and configuration files.
  • Scaling microservices using Compose.

Monitoring and Maintenance of AI Inference Services

  • Approaches to logging and observability.
  • Detecting failures within inference pipelines.
  • Updating and versioning models in production environments.

Summary and Next Steps

Requirements

  • A solid understanding of fundamental machine learning concepts.
  • Practical experience with Python or backend development.
  • Familiarity with foundational container concepts.

Audience

  • Developers
  • Backend engineers
  • Teams responsible for deploying AI services
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
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Price per private group, online live training, starting from 3200 € + VAT*

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