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Course Outline
Introduction to AI Inference with Docker
- Understanding AI inference workloads
- Benefits of containerized inference
- Deployment scenarios and constraints
Building AI Inference Containers
- Selecting base images and frameworks
- Packaging pretrained models
- Structuring inference code for container execution
Securing Containerized AI Services
- Minimizing container attack surface
- Managing secrets and sensitive files
- Safe networking and API exposure strategies
Portable Deployment Techniques
- Optimizing images for portability
- Ensuring predictable runtime environments
- Managing dependencies across platforms
Local Deployment and Testing
- Running services locally with Docker
- Debugging inference containers
- Testing performance and reliability
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 with supporting components
- Managing environment variables and configs
- Scaling microservices with Compose
Monitoring and Maintenance of AI Inference Services
- Logging and observability approaches
- Detecting failures in inference pipelines
- Updating and versioning models in production
Summary and Next Steps
Requirements
- An understanding of basic machine learning concepts
- Experience with Python or backend development
- Familiarity with foundational container concepts
Audience
- Developers
- Backend engineers
- Teams 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.
Price per private group, online live training, starting from 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (5)
OC is new to us and we learnt alot and the labs were excellent
sharkey dollie
Course - OpenShift 4 for Administrators
Very informative and to the point. Hands on pratice
Gil Matias - FINEOS
Course - Introduction to Docker
Labs and technical discussions.
Dinesh Panchal - AXA XL
Course - Advanced Docker
That Brian has good knowledge of the topic and explains it well
Francisco Demetrio Quitral - IMED S.A
Course - Rancher: administra tus contenedores Docker
Machine Translated
It gave a good grounding for Docker and Kubernetes.
