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Kubernetes Courses

Kubernetes is a powerful platform that automates the deployment and management of containerized applications across multiple servers. Think of it as an intelligent orchestrator that ensures applications run smoothly, scale automatically, and recover from failures. As businesses increasingly adopt cloud-native technologies, Kubernetes skills have become essential for DevOps engineers, cloud... Read more Read less

Kubernetes is a powerful platform that automates the deployment and management of containerized applications across multiple servers. Think of it as an intelligent orchestrator that ensures applications run smoothly, scale automatically, and recover from failures. As businesses increasingly adopt cloud-native technologies, Kubernetes skills have become essential for DevOps engineers, cloud architects, and software developers. Learning Kubernetes opens doors to high-demand roles where you'll help organizations modernize their infrastructure and improve application reliability.

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3 Kubernetes Courses

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TripleTen's AI Systems Engineering program is a part-time, 51-week course designed for working engineers aiming to advance to senior and architect-level roles. With a commitment of about 20 hours per week, learners engage in live sessions, capstone projects, and externships. The curriculum covers AI infrastructure, system architecture, and security, offering hands-on experience and career coaching to build a robust portfolio. Before You Learn / Who This Course Is For Designed for working engineers aiming for senior roles Focus on system architecture and AI infrastructure No prerequisites; start with a two-week trial What to Expect Part-time, 51-week course with live and group sessions Four capstone projects and one externship Continuous support with 1:1 tutoring and career coaching What You'll Achieve Portfolio showcasing production-grade systems Skills in OpenTelemetry, Docker, Kubernetes, and more Preparation for senior and architect-level positions

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via TripleTen
51 weeks
$18,000

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AWS Cloud Engineering & AI is a 42-week, full-time, 100% online course that takes you from the fundamentals to a job-ready cloud engineer. You'll build expertise across AWS, Linux, Python, Docker, Kubernetes, Terraform, CI/CD and applied AI, then design and deploy a large-scale final project. Delivered by an official AWS Partner through live, instructor-led sessions and hands-on labs, it includes 5 industry-recognised certifications and 12 months of career support. Before You Learn / Who This Course Is For Beginners and for people with a tech background who want to specialise in cloud engineering, DevOps and AI. Suits career changers moving into tech, IT and tech professionals levelling up, graduates and emerging talent, and business or operations professionals moving into a technical cloud role. No prior cloud experience is required. What to Expect Expect live, instructor-led classes Monday to Friday, hands-on labs in real cloud environments, and collaborative projects that build a job-ready portfolio. You'll finish with a large-scale final project and receive a MacBook Air, plus 12 months of career support. Eligible learners can train for €0 with a Bildungsgutschein. What You'll Achieve Graduates will be prepared for five industry-recognised certifications: Linux Essentials, AWS Certified Cloud Practitioner and AWS Certified AI Practitioner (completed during the course), plus PCEP and AWS Certified Solutions Architect – Associate (after graduation). By the end of the course, students will be able to: Design, build and operate cloud infrastructure on AWS, using core services like EC2, S3, VPC, IAM, Lambda, RDS and CloudFormation Administer Linux and work confidently on the command line Write Python for cloud scripting and automation, including AI-assisted coding with Claude Code Store, manage and query data using SQL and AWS database services Containerise applications with Docker and orchestrate them with Kubernetes Provision and manage infrastructure as code with Terraform Build CI/CD pipelines with GitHub Actions and automate delivery Set up load balancing, DNS and observability, and script operational tasks Apply AI and machine learning services on AWS Plan, build and present a large-scale, cloud-native final project for a job-ready portfolio

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via WBS CODING SCHOOL
42 hours 40 hrs/week
N/A
Certification Available

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Skillspire's Cloud Computing course is a 16-week immersive program available both online and in-person at SeaTac, WA. It focuses on cloud infrastructure, services, and deployment using AWS, Microsoft Azure, and Linux. The course is designed to equip learners with essential skills through hands-on projects, preparing them for roles such as Cloud Architect and DevOps Support. Participants will gain knowledge in cloud security and networking, with a professional certificate upon completion. Before You Learn / Who This Course Is For IT professionals and system administrators transitioning to cloud roles Developers adding infrastructure and DevOps skills Career changers entering fast-growing tech areas What to Expect In-person classes at SeaTac or 100% remote Covers cloud infrastructure fundamentals and deployment Hands-on projects in AWS, Azure, and Linux What You'll Achieve Professional Certificate of Completion Prepare for CompTIA IT Fundamentals (ITF+), CompTIA Network+, CompTIA Cloud+, and Microsoft Azure Fundamentals (AZ900)

via Skillspire
20 weeks 18 hrs/week
$6,499
Certification Available

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