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
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
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
It gave a good grounding for Docker and Kubernetes.
Stephen Dowdeswell - Global Knowledge Networks UK
Course - Docker (introducing Kubernetes)
I mostly enjoyed the knowledge of the trainer.