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Training Fireworks.ai - Scaling AI Inference in Production

Ref: BYR763
10 people max.
From $6,431 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Master Fireworks.ai to deploy scalable professional AI models
  • Optimize LLM and generative model inference in the enterprise
  • Develop certifying AI applications with Fireworks.ai SDK
  • Implement fine-tuning and custom models on Fireworks.ai
  • Design secure and monitored production pipelines
  • Deploy performant multimodal AI workflows for advanced skills

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

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.

Célian Lebacle
Célian Lebacle

Learni trainer · Web & mobile expert

73%productivity gap
×3cost of inaction

Program

Module 1Fireworks.ai: Advanced Configuration and Inference APIs (Python/JS SDK, Authentication)

Quick installation of the Fireworks.ai environment, hands-on with official Python and JavaScript SDKs for secure authentication and initial API requests, practical exercises on inference with open-source LLMs like Llama 3, analysis of generated responses with JSON parsing, creation of a first professional deployable script for enterprise use, real-time debugging of common errors for smooth and efficient implementation from day one.

Module 2Fireworks.ai: LLM Inference Optimization (Prompt Engineering, Batching, Caching)

In-depth exploration of advanced prompt engineering techniques tailored to Fireworks.ai, implementation of batching for handling massive simultaneous request volumes, configuration of intelligent caching to reduce latencies by 70%, real-world cases on enterprise chatbots with hybrid RAG, hands-on exercises to measure and optimize throughput live, production of custom performance metrics ready for production use.

Module 3Fireworks.ai: Multimodal Generation (Images, Embeddings, Fine-Tuning)

Deployment of image generative models like Stable Diffusion on Fireworks.ai, integration of vector embeddings for semantic search, first steps in serverless fine-tuning of custom models via API, practical projects on generating visual assets for AI marketing, chaining text-image modalities for creative workflows, validation of outputs with automated quality tools, deliverables ready for immediate application integration.

Module 4Fireworks.ai: Security, Scaling, and Monitoring (RBAC, Autoscaling, Observability)

Advanced configuration of RBAC and rate limiting on Fireworks.ai for secure enterprise environments, setup of automatic autoscaling for traffic spikes, integration of monitoring with Prometheus and Grafana for real-time traceability, extreme load simulations with Locust tools, API hardening against injections and data leaks, development of proactive alerts, consolidation into an operational dashboard for DevOps teams.

Module 5Fireworks.ai: Red Thread Projects and Production Deployment (CI/CD, Cloud Hybridization)

Assembly of the red thread project into a complete AI application on Fireworks.ai, implementation of CI/CD pipelines with GitHub Actions for continuous deployments, hybridization with other clouds like AWS Lambda, end-to-end resilience and performance testing under stress, collective code review by the expert trainer, final packaging with certifying documentation, preparation for scalable production rollout for immediate ROI in the enterprise.

Evaluation method

  • Technical MCQ on APIs and Fireworks.ai optimization
  • Evaluation by red thread project and business cases
  • Oral defense of advanced implementations

Learning method

  • Live sessions by active Fireworks.ai expert trainer
  • Practical exercises on real professional scenarios
  • Evolving red thread project over 5 days
  • Complete resources and source code provided

Methods, materials and delivery

The Training Fireworks.ai - Scaling AI Inference in Production program is delivered onsite or remote (blended-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 - Scaling AI Inference in Production 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 - Scaling AI Inference in Production 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

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.

FAQ

Frequently asked questions

How much does the Training Fireworks.ai - Scaling AI Inference in Production training cost?+
The individual price is $6,431 (USD). A detailed quote is sent within one business day.
How long is the Training Fireworks.ai - Scaling AI Inference in Production training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python, REST/GraphQL APIs, LLM models, and Docker container basics
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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