Cloud Native Starter — Docker & Kubernetes Basics (3‑Hour Bootcamp)
Learn containerization and orchestration fundamentals to deploy scalable AI microservices. Containerize, orchestrate, and deploy your first AI workload in a single intensive session.
Secure Your Spot
Register now to attend the upcoming live interactive Bootcamp.
About this Bootcamp
This focused 3‑hour bootcamp covers Docker image creation, Compose workflows, and Kubernetes primitives needed to run and scale AI workloads. Designed for Backend and DevOps engineers, AI engineers, and full‑stack developers, the program moves from core theory to live demos and a hands‑on lab. You’ll containerize a simple AI service and deploy it to a Kubernetes cluster with basic networking and ingress, ensuring you leave with a working service and a production-ready CI/CD checklist.
What You Will Learn
- check_circle Docker Image Optimization: Mastering Dockerfile best practices, multi-stage builds, and layering strategies to minimize image size.
- check_circle Kubernetes Core Orchestration: Managing Pods, Deployments, and Services to ensure high availability for AI applications.
- check_circle Ingress & Networking: Configuring service types and ingress routing for secure external access to containerized services.
- check_circle CI/CD Pipeline Patterns: Implementing automated deployment workflows and image registry management for professional environments.
Bootcamp Outcomes
By the end of this session, you will be able to ship a containerized AI microservice and deploy it to a production-grade Kubernetes cluster. You will walk away with a working service deployment, a configured ingress controller, and a comprehensive CI/CD checklist to automate your future deployments.
Intensive 3-Hour Agenda
A step-by-step technical journey from local containers to cloud orchestration.
Dockerization & Image Mastery
Deep dive into writing efficient Dockerfiles, multi-stage builds, and local multi-service orchestration using Docker Compose for testing.
Kubernetes Core Primitives
Exploring the K8s ecosystem: Pods, Deployments, Services, ConfigMaps, and Secrets. Understanding how K8s manages application state.
Networking & Service Exposure
Implementing Ingress controllers, TLS basics, and routing strategies to make your AI services accessible to the world.
Hands-On Lab & CI/CD
Guided lab: Containerizing a sample AI microservice, pushing to a registry, and deploying to a cluster. Finalizing with a CI/CD checklist.
What Industry Demands
The core competencies top tech firms expect from Cloud and AI Engineers.
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Portable Deployments
Containers are the non-negotiable standard for shipping AI services across hybrid cloud environments.
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Orchestration Proficiency
Kubernetes skills are essential for managing the scaling and resilience of multi-service AI architectures.
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Production Reliability
Industry requires expertise in health checks, logging, and automated rollout strategies for 99.9% uptime.
What Participants Say
"The most efficient 3 hours I've spent all year. I went from being confused by Kubernetes YAML to successfully deploying an AI service with Ingress."
Sarah Chen
Senior Backend Developer"The focus on Docker multi-stage builds alone was worth the time. Excellent hands-on lab that actually works in the real world."
Marcus Thorne
DevOps Lead"Finally, a bootcamp that explains K8s specifically for AI workloads. The session on networking and ingress cleared up months of confusion."
Elena Rodriguez
AI EngineerUpcoming Bootcamp Sessions
LIVE SESSION
August Cohort A
LIVE SESSION
August Cohort B
LIVE SESSION
September Cohort A
Why Join
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