Docker Courses

Barcelona Code School's AI Agent Engineer Bootcamp is a comprehensive online program designed for developers aiming to specialize in AI engineering. This project-based course focuses on real-world tools like LangGraph, PostgreSQL, and Docker, with AI-assisted development from day one. Participants will complete a continuous project and a capstone project of their choice, equipping them with the skills needed for roles such as AI agent engineer and automation engineer. Before You Learn / Who This Course Is For Developers aiming to specialize in AI engineering Technical professionals entering the AI agent field No prerequisites beyond technical background What to Expect Online, project-based learning with real-world tools Continuous and capstone projects for hands-on experience AI-powered development with Claude coding assistant What You'll Achieve Create enterprise agents ready for production Master tools like LangChain, Docker, and AWS Prepare for AI agent engineer and similar roles

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

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

The Big Blue Academy Machine Learning Engineering Bootcamp offers a comprehensive, hands-on training experience for aspiring ML engineers. Delivered online with instructor-led sessions, this bootcamp focuses on designing, training, and deploying machine learning systems. Students will engage in practical coding, real-world dataset analysis, and technical assessments, culminating in a capstone project that showcases their ability to build production-ready ML solutions. Before You Learn / Who This Course Is For Aspiring ML Engineers, Data Scientists, AI professionals Ideal for those with Python and ML basics Enhance deployment, MLOps, automation skills What to Expect Intensive, hands-on learning with real-world datasets Instructor-led theory and practical demonstrations End-to-end project showcasing ML lifecycle What You'll Achieve Mastery of ML model development and deployment Skills in MLOps and scalable ML workflows Ability to present complete ML solutions