Course Outline
Foundations of AI Inference with Docker
- Comprehending AI inference workloads
- Advantages of containerized inference
- Key deployment scenarios and associated constraints
Constructing AI Inference Containers
- Choosing appropriate base images and frameworks
- Packaging pre-trained models effectively
- Organizing inference code for optimal container execution
Hardening Containerized AI Services
- Reducing the container attack surface
- Securely managing secrets and sensitive data
- Strategies for safe networking and API exposure
Techniques for Portable Deployment
- Optimizing images for maximum portability
- Guaranteeing predictable runtime environments
- Managing dependencies across various platforms
Local Deployment and Verification
- Executing services locally using Docker
- Debugging inference containers
- Testing performance and reliability standards
Deployment 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 Compose
Ongoing Monitoring and Maintenance of AI Inference Services
- Implementing logging and observability strategies
- Identifying failures within inference pipelines
- Updating and versioning models in production settings
Conclusion and Future Directions
Requirements
- A solid grasp of fundamental machine learning concepts
- Practical experience with Python or backend development
- Basic familiarity with containerization principles
Target Audience
- Software Developers
- Backend Engineers
- Teams responsible for deploying AI services
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*
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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.
