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Duration 14 hours
Course Outline
Introduction to AI Inference using Docker
- Analyzing AI inference workloads
- Advantages of containerized inference approaches
- Exploring deployment scenarios and associated constraints
Constructing AI Inference Containers
- Choosing appropriate base images and frameworks
- Packaging pretrained models for deployment
- Architecting inference code optimized for container execution
Enhancing Security for Containerized AI Services
- Reducing the container attack surface
- Handling secrets and sensitive data files securely
- Implementing safe networking and API exposure strategies
Techniques for Portable Deployment
- Optimizing container images for maximum portability
- Maintaining predictable runtime environments
- Managing dependencies across different platforms
Local Deployment and Validation
- Executing services locally via Docker
- Debugging processes within inference containers
- Assessing performance and reliability standards
Deployment on Servers and Cloud VMs
- Adapting containers for remote operational environments
- Configuring secure access to servers
- Launching inference APIs on cloud virtual machines
Leveraging Docker Compose for Multi-Service AI Systems
- Orchestrating inference alongside supporting components
- Managing environment variables and configuration files
- Scaling microservices effectively with Compose
Monitoring and Maintenance of AI Inference Services
- Adopting logging and observability practices
- Identifying and addressing failures in inference pipelines
- Updating and versioning models in production environments
Summary and Future Recommendations
Requirements
- A foundational understanding of basic machine learning concepts
- Experience with Python or backend development
- Knowledge of fundamental container 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.
