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Duration 14 hours
Course Outline
Introduction to AI Inference using Docker
- Analyzing AI inference workloads
- Advantages of containerized inference
- Exploring deployment scenarios and constraints
Creating AI Inference Containers
- Choosing appropriate base images and frameworks
- Packaging pretrained models effectively
- Designing inference code for containerized execution
Protecting Containerized AI Services
- Reducing the container attack surface
- Handling secrets and sensitive data securely
- Implementing safe networking and API exposure strategies
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
- Debugging inference containers
- Validating performance and reliability
Deploying on Servers and Cloud VMs
- Adapting containers for remote environments
- Configuring secure server access
- 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 Docker Compose
Monitoring and Maintaining AI Inference Services
- Applying logging and observability best practices
- Identifying failures within inference pipelines
- Updating and versioning models in production environments
Summary and Next Steps
Requirements
- A solid understanding of fundamental machine learning concepts
- Proficiency in Python or backend development
- Familiarity with core containerization concepts
Target Audience
- Software 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.