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Training Fireworks.ai 2026 - Mastering Scalable AI in the Enterprise

Ref: NEE758
10 people max.
5500€ 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 the advanced APIs of Fireworks.ai 2026 for ultra-fast inferences in production
  • Develop expert skills in custom fine-tuning during this certified training
  • Design scalable AI pipelines tailored to professional enterprise needs
  • Optimize prompt engineering to maximize generative model performance
  • Implement secure and resource-efficient deployments on Fireworks.ai 2026
  • Evaluate and deploy multimodal models in an enterprise certified context

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 this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Fireworks.ai 2026 Fundamentals: Expert Architecture and APIs (Initial Optimization)

Discover the advanced architecture of Fireworks.ai 2026 with its GPU-optimized servers for massive inference, install advanced SDKs through practical exercises on real datasets, configure your first API calls to test latency under 100ms, analyze performance logs in groups, and produce a preliminary report on potential gains for your company, while integrating concrete Deep Learning optimization cases.

Module 2Fireworks.ai 2026 Fine-Tuning: Custom Models (Advanced LoRA Pipelines)

Dive into expert fine-tuning with LoRA and QLoRA on Fireworks.ai 2026, prepare proprietary datasets using integrated tools like Hugging Face, launch tuning sessions on Llama 3.1 and Mistral models, monitor metrics in real-time with Weights & Biases, test fine-tuned models on custom benchmarks, and generate deployable deliverables, applying professional techniques to reduce enterprise costs by 70%.

Module 3Fireworks.ai 2026 Prompt Engineering: Semantic Optimization (Expert Chain-of-Thought)

Master advanced prompt engineering on Fireworks.ai 2026 with chain-of-thought and tree-of-thoughts techniques, build multimodal prompts for images and text via unified APIs, evaluate effectiveness with automated A/B testing, integrate autonomous agents based on ReAct, apply to enterprise RAG use cases, and produce a reusable prompt kit optimized for 40% improved accuracy through intensive collaborative workshops.

Module 4Fireworks.ai 2026 Scaling: High Availability and Cost (Kubernetes Auto-Scaling)

Implement horizontal scaling on Fireworks.ai 2026 with Kubernetes and serverless integration, simulate traffic spikes up to 10k requests/second, optimize costs via GPU spot instances, secure with advanced VPC and IAM, monitor via custom Prometheus/Grafana dashboards, test resilience with chaos engineering, and deploy a production-ready cluster, calculating concrete ROI for large-scale enterprise deployments.

Module 5Fireworks.ai 2026 Deployment: Production and MLOps (CI/CD GitHub Actions)

Finalize with complete MLOps on Fireworks.ai 2026, automate CI/CD via GitHub Actions and Fireworks CLI, integrate MLflow monitoring for drift detection, deploy in edge computing with quantized models, conduct GDPR-compliant security audits, present a team capstone project on a real client use case, and receive your certification, ready to scale your AI skills in the enterprise from the next day.

Evaluation method

  • Daily technical quizzes on APIs and fine-tuning (80% success required)
  • Final team project: deployment of a scalable model on Fireworks.ai 2026
  • 360° evaluation by Qualiopi-certified trainers with personalized feedback

Learning method

  • 70% hands-on practice on real Fireworks.ai 2026 environments
  • Case studies from Fortune 500 companies using the platform
  • Individual mentoring by certified Deep Learning experts
  • Unlimited access to labs post-training for 6 months

Methods, materials and delivery

The Training Fireworks.ai 2026 - Mastering Scalable AI in the Enterprise 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 Fireworks.ai 2026 - Mastering Scalable AI in the Enterprise 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 Fireworks.ai 2026 - Mastering Scalable AI in the Enterprise 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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