Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to AI Inference with Docker
- Exploring AI inference workloads
- Advantages of containerized inference
- Reviewing deployment scenarios and constraints
Creating AI Inference Containers
- Choosing appropriate base images and frameworks
- Packaging pretrained models
- Organizing inference code for containerized execution
Enhancing Security in Containerized AI Services
- Reducing the container attack surface
- Handling secrets and sensitive files
- Strategies for secure networking and API exposure
Techniques for Portable Deployment
- Optimizing images for ease of portability
- Maintaining predictable runtime environments
- Handling dependencies across different platforms
Local Deployment and Testing Processes
- Executing services locally using Docker
- Troubleshooting inference containers
- Assessing performance and reliability
Deployment to Servers and Cloud VMs
- Adapting containers for remote environments
- Setting up secure server access
- Launching inference APIs on cloud VMs
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 settings
Summary and Future Steps
Requirements
- A foundational understanding of basic machine learning concepts
- Practical experience with Python or backend development
- Acquaintance with fundamental container concepts
Target Audience
- Developers
- Backend engineers
- Teams responsible for deploying AI services
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.
