Get in Touch
 Duration 21 hours

Course Outline

Foundations of Hybrid AI Deployment

  • Exploring hybrid, cloud, and edge deployment models
  • Analyzing AI workload characteristics and infrastructure constraints
  • Selecting the optimal deployment topology

Containerizing AI Workloads with Docker

  • Creating GPU and CPU inference containers
  • Managing secure images and registries
  • Implementing reproducible AI environments

Deploying AI Services to Cloud Environments

  • Executing inference on AWS, Azure, and GCP via Docker
  • Provisioning cloud compute resources for model serving
  • Securing cloud-based AI endpoints

Edge and On-Prem Deployment Techniques

  • Running AI on IoT devices, gateways, and microservers
  • Utilizing lightweight runtimes for edge environments
  • Handling intermittent connectivity and local persistence

Hybrid Networking and Secure Connectivity

  • Establishing secure tunneling between edge and cloud
  • Managing certificates, secrets, and token-based access
  • Tuning performance for low-latency inference

Orchestrating Distributed AI Deployments

  • Implementing K3s, K8s, or lightweight orchestration for hybrid setups
  • Configuring service discovery and workload scheduling
  • Automating multi-location rollout strategies

Monitoring and Observability Across Environments

  • Tracking inference performance across various locations
  • Implementing centralized logging for hybrid AI systems
  • Enabling failure detection and automated recovery

Scaling and Optimizing Hybrid AI Systems

  • Scaling edge clusters and cloud nodes
  • Optimizing bandwidth usage and caching mechanisms
  • Balancing compute loads between cloud and edge resources

Summary and Next Steps

Requirements

  • A solid grasp of containerization principles
  • Proficiency in Linux command-line operations
  • Knowledge of AI model deployment workflows

Target Audience

  • Infrastructure architects
  • Site Reliability Engineers (SREs)
  • Edge and IoT developers

Number of participants


Price per participant

Open Training Courses require 5+ participants.

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.

Bert Paelinckx - Cube SoftwareSolutions
Course - Introduction to Docker

Upcoming Courses

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

2026-11-09 09:30
21 hours
Toulouse, City Center
3750 EUR (Online)
4350 EUR (Classroom)

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

2026-11-23 09:30
21 hours
Marseille, Prado Quarter
3750 EUR (Online)
4350 EUR (Classroom)

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

2026-12-07 09:30
21 hours
Montpellier, Garosud
3750 EUR (Online)
4350 EUR (Classroom)

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

2026-12-21 09:30
21 hours
Nantes, Zenith
3750 EUR (Online)
4350 EUR (Classroom)

Hybrid AI Deployment: Docker, Cloud, and Edge Integration

2027-01-04 09:30
21 hours
Clermont-Ferrand, ZI Le Brézet
3750 EUR (Online)
4350 EUR (Classroom)

Related Courses

Advanced Docker

 14 Hours

This live, instructor-led training in France (available online or on-site) is designed for engineers seeking to expand their Docker knowledge. The focus is on deploying applications at scale while ensuring robust control.

By the end of the course, participants will be equipped to:

  • Build custom Docker images.
  • Deploy and manage a large number of Docker applications.
  • Evaluate and select the most suitable container orchestration solution.
  • Set up a continuous integration process for Docker applications.
  • Integrate Docker applications with existing continuous integration tools and processes.
  • Secure their Docker applications.
Read more...

Containerized AI & ML Deployment with Docker

 14 Hours
This instructor-led training on France guides intermediate professionals in containerizing AI and ML workloads with Docker. Learners will master building optimized images, handling dependencies, and deploying stable pipelines, acquiring the practical skills needed for consistent, portable production environments.
Read more...

CI/CD for AI: Automating Docker-Based Model Builds and Deployments

 21 Hours
This live training on France focuses on automating Docker-based AI model builds and deployments through CI/CD. It addresses packaging, testing, version control, and deployment strategies within MLOps. Learners will acquire practical skills in pipeline creation and secure container management.
Read more...

Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours
This instructor-led, live training in France prepares participants for the Certified Kubernetes Administrator (CKA) exam. It offers hands-on experience with Kubernetes architecture, networking, security, and troubleshooting. It is ideal for administrators seeking certification or looking to develop practical cluster management skills.
Read more...

Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours
This instructor-led CKAD training in France equips developers for the Certified Kubernetes Application Developer exam through practical hands-on labs. The course covers the design, development, and security of cloud-native apps by leveraging core Kubernetes concepts, deployment strategies, and networking fundamentals.
Read more...

Introduction to Docker

 14 Hours
This live, instructor-led training in France explores the fundamental principles of Docker, enabling participants to automate the workflow of constructing, delivering, and executing applications inside containers. Learners will develop practical competencies in installing Docker, handling images, configuring networks, and managing registries.
Read more...

Container Platforms Administration with Docker, Kubernetes and OpenShift

 35 Hours

Master the skills to build, deploy, and administer containerized environments using Docker, Kubernetes, and OpenShift. This intensive five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage solutions, security protocols, monitoring techniques, and practical OpenShift administration. Participants will acquire the necessary competencies to operate modern container platforms effectively and troubleshoot applications across both development and production environments.

Read more...

Docker and Kubernetes: Building and Scaling a Containerized Application

 21 Hours

In this instructor-led live training in France (onsite or remote), participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

  • Set up and run a Docker container.
  • Deploy a containerized server and web application.
  • Build and manage Docker images.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage a clustered web application.
  • Secure, scale and monitor a Kubernetes cluster.
Read more...

Docker for MLOps: End-to-End Pipeline Containerization

 21 Hours
This instructor-led course in France walks professionals through the process of containerizing entire ML pipelines with Docker. Participants will learn to build reproducible environments, manage training and inference workloads, and implement CI/CD for scalable MLOps deployments.
Read more...

Docker and Kubernetes

 21 Hours

Training Objectives: Gain theoretical and practical skills in Docker and Kubernetes.

Read more...

GPU-Accelerated AI & Deep Learning with Docker Containers

 21 Hours
This instructor-led course on France enables intermediate professionals to set up and optimize AI workloads that utilize GPU power within Docker containers. Learners will gain the skills to create CUDA-compatible images, oversee multi-GPU operations, and roll out scalable deep learning services ready for production use.
Read more...

Kubernetes from Basic to Advanced

 14 Hours

In this instructor-led, live training in France (onsite or remote), participants will learn how to deploy a collection of sample servers inside containers, then automate, scale, and manage their containerized servers within a Kubernetes cluster. The training goes on to more advanced topics, walking participants through the process of securing, networking and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

  • Set up and run a Docker container.
  • Deploy containerized databases and servers.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage different environments under the same cluster.
  • Secure, scale and monitor a Kubernetes cluster.
Read more...

Building Microservices with Spring Cloud and Docker

 21 Hours

In this instructor-led live training in France, participants will learn the essentials of building microservices using Spring Cloud and Docker. Their understanding will be tested through exercises and the step-by-step development of sample microservices.

By the end of this training, participants will be able to:

  • Understand the fundamentals of microservices.
  • Use Docker to build containers for microservice applications.
  • Build and deploy containerized microservices using Spring Cloud and Docker.
  • Integrate microservices with discovery services and the Spring Cloud API Gateway.
  • Use Docker Compose for end-to-end integration testing.
Read more...

Building Microservices with Spring Cloud and Docker - 5 Days

 35 Hours

This instructor-led, live training in France (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.

By the end of this training, participants will be able to:

  • Develop microservices using Spring Boot and Spring Cloud.
  • Containerize applications with Docker and Docker Compose.
  • Implement service discovery, API gateways, and inter-service communication.
  • Monitor and secure microservices in production environments.
  • Deploy and orchestrate microservices using Kubernetes.
Read more...

OpenShift Administration Fundamentals

 35 Hours

OpenShift is one of the leading Kubernetes-based platforms for deploying and managing containerized applications in cloud, hybrid, and on-premises environments.

This hands-on training teaches participants how to install, administer, and troubleshoot OpenShift clusters while applying security, networking, and storage best practices. Through practical exercises, participants gain the skills needed to confidently manage production-ready OpenShift environments.

Read more...

Related Categories

Docker
Docker