Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Packer Expert - Automate Multi-Cloud Images training are: Mastery of Terraform, advanced Bash/Python scripting, experience with VMware/AWS/GCP, Packer basics.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Packer Expert - Automate Multi-Cloud Images training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Packer Expert - Automate Multi-Cloud Im... | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training Packer Expert - Automate Multi-Cloud Images 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.

Teaching resources provided

To ensure the quality of the Training Packer Expert - Automate Multi-Cloud Images training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Packer Expert - Automate Multi-Cloud Images training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training access terms and deadlines

Training objectives

Build optimized multi-platform Packer images

Integrate Packer with Terraform for CI/CD pipelines

Optimize provisioners and post-processors for security

Automate scalable hybrid cloud deployments

Debug complex Packer HCL2 configurations

Deploy Packer artifacts securely in production

Measure performance gains post-training

Training program

Module 1Packer Builders: Advanced Multi-VM Configs (VMware, AWS)

Dive into Packer builders to create custom AMIs and OVA images, configure JSON/HCL2 with dynamic variables, perform hands-on exercises on AWS EC2 and VMware, test initial builds live, generate exportable deliverables, and experience the immediate acceleration of your infrastructure workflows.

Module 2Packer Provisioners: Automated Scripts (Ansible, Chef)

Master provisioners to inject secure application configs, integrate Ansible playbooks and Chef recipes into Packer, simulate full-stack deployments in lab environments, debug errors in real-time, produce production-ready images with hardening, and experience seamless frictionless automation.

Module 3Packer-Terraform Integration: Modern HCL2 Pipelines

Merge Packer and Terraform for end-to-end IaC workflows, code reusable HCL2 modules, deploy via GitLab CI/CD, test AWS/GCP hybridizations, analyze build-time metrics, export packaged templates, and discover how to reduce spin-up times by 10x.

Module 4Packer Optimization: Performance, Security, Post-Processors

Optimize Packer builds for high availability, apply compressive post-processors and Vagrant boxes, reinforce security with Vault secrets managers, benchmark gains on real multi-cloud cases, refine auditable deliverables, and adopt expert practices that cut infra costs by 40%.

Module 5Advanced Packer Projects: Production CI/CD, Troubleshooting

Implement a complete production-like Packer project, integrate Prometheus monitoring, handle advanced troubleshooting with logs/metrics, deploy to Kubernetes clusters, validate scalability, earn certification via portfolio deliverable, and leave ready to transform your ops starting Monday.