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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training AWS Fargate - Deploying Scalable Serverless Containers training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training AWS Fargate - Deploying Scalable Serverless Containers training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training AWS Fargate - Deploying Scalable Serverless Containers training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
In-depth discovery of AWS Fargate through creation of the first serverless ECS cluster, hands-on with AWS CLI and console for containerized tasks, secure IAM role configuration, practical exercises with personal Docker images, initial deployment of a simple web application with CloudWatch logs, immediate value for your enterprise projects by avoiding EC2 server management.
Design persistent Fargate services with ALB load balancers, implement Auto Scaling based on CPU/memory, integrate VPC networking for secure isolation, hands-on workshops on simulated high-load traffic, resource optimization for controlled costs, production of a scalable web service ready for production, directly applicable skills for professional DevOps teams.
Deploy Fargate tasks for ephemeral batch jobs, orchestrate via EventBridge and Step Functions for automated workflows, manage EFS storage for persistent data, practical cases on ETL data processing, fault tolerance testing with retries, delivery of a functional batch pipeline, concrete productivity gains for periodic enterprise processing in certified environments.
Strengthen Fargate security with least-privilege IAM roles, integrate Docker image scanning with ECR, configure Security Groups and NACL for zero-trust, exercises on vulnerability audits, simulate attacks and mitigation, deploy secure service with Secrets Manager, essential mastery for GDPR compliance in critical professional environments.
Automate Fargate deployments via CodePipeline and CodeBuild, advanced monitoring with CloudWatch Logs Insights and X-Ray, cost optimization through task scheduling, complete red thread project of a full-stack serverless application, real-time debugging on simulated incidents, delivery of course materials and skills certification, immediate return on investment for agile teams.
Target audience
DevOps engineers, cloud developers, IT architects for advancing container skills
Prerequisites
Mastery of Docker, ECS/EC2 basics, and AWS CLI for professional projects
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