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Training Packer - Automate Your Machine Images in 5 Days

Ref: AQH791
10 people max.
5250 € HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master advanced HCL syntax in Packer for robust configurations.
  • Configure multi-platform builders such as AWS, Azure, and VMware.
  • Integrate provisioners to customize images with Ansible or scripts.
  • Optimize Packer builds in Jenkins or GitLab CI/CD pipelines.
  • Manage post-processors to export and validate final artifacts.
  • Debug and secure Packer templates in production environments.
  • Deploy scalable Packer images to accelerate deployments.

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without Packer, your teams waste 40% of time on manual image builds, multiplying fatal human errors like unpatched security vulnerabilities exposing you to breaches costing 4M€ on average.

  • Slow deployments hinder agility, with 25% failures due to multi-platform inconsistencies, generating 8h/week downtimes.

  • Are you missing cloud opportunities by sticking to obsolete handmade scripts?

  • Invest 35h to triple productivity, secure infrastructure, and accelerate time-to-market by 50%, avoiding annual losses of 50k€ per engineer.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Packer Fundamentals: HCL Syntax and First Builders (VMware, VirtualBox)

Dive into Packer by installing the tool and dissecting the HCL syntax through practical exercises. Configure your first template to build a VMware image, test dynamic variables and basic provisioners with shell scripts, produce your first functional image ready for deployment, while analyzing logs for immediate understanding.

Module 2Cloud Builders: AWS AMI and Azure (Authentication Methods, Variables)

Transition to cloud builders by configuring AWS AMI and Azure with secure credentials. Perform interactive builds on EC2 and Azure VMs, integrate user-data scripts for bootstrapping, optimize image sizes through timed exercises, generate testable deliverables in 30 minutes to validate your cloud skills.

Module 3Advanced Provisioners: Ansible, Chef, and Packer (IaC Tools Integration)

Master provisioners by applying Ansible playbooks and Chef recipes to your images. Chain multiple provisioners for complex stacks, test on real-world cases like SSH securing and package installation, produce Kubernetes-ready images with a focus on idempotence and reproducibility for reliable deployments.

Module 4CI/CD Pipelines: GitLab, Jenkins, and Packer Post-Processors

Integrate Packer into CI/CD by creating GitLab and Jenkins pipelines. Automate triggers and artifacts, configure post-processors to compress and sign images, simulate end-to-end deployments on real enterprise cases, measure time savings up to 70% through collaborative exercises. Deliverables: functional, exportable pipeline.

Module 5Optimization and Production: Debugging, Security, Real Packer Projects

Finalize with performance optimization using caching and parallelism. Debug complex templates in error scenarios, enhance security with secrets managers and scans, conclude with a capstone project building a multi-cloud image, peer review, and certification of deliverables. Leave with a concrete portfolio to boost your DevOps career.

Evaluation method

  • Daily technical quizzes
  • Certified final project
  • Practical case studies

Learning method

  • 70% hands-on practice on dedicated machines
  • 30% theory with live demos
  • Pair exercises

Methods, materials and delivery

The Training Packer - Automate Your Machine Images in 5 Days program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Packer - Automate Your Machine Images in 5 Days program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Packer - Automate Your Machine Images in 5 Days program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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