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Training AI Inference Optimization - Reduce AI Costs by 40%

Ref: CVO603
10 people max.
From $4,620 HT / per person
On-site on request · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Master advanced techniques for optimizing inference costs in certified professional training.
  • Develop solid skills in prompt caching to reduce latency in the enterprise.
  • Design high-performance AI architectures tailored to real business needs.
  • Implement strategies for monitoring and continuous adjustment of cloud spending.
  • Optimize production workflows for measurable and sustainable profitability.
A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you

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

  • Companies that ignore inference cost optimization lose an average of 35% of their cloud budget on AI models.

  • A 2025 study shows that 62% of AI projects are abandoned due to uncontrolled spending.

  • Without skills in prompt caching and advanced optimization, technical teams remain dependent on expensive providers and lose competitiveness.

  • Acting now prevents these losses and secures the profitability of AI projects.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Fundamentals of inference and cost analysis (tools, benchmarks, deliverables)

Participants analyze LLM inference mechanisms and identify the main cost drivers. They use tools such as vLLM and TensorRT-LLM to run concrete benchmarks on open-source models. Hands-on exercises allow them to measure GPU consumption and produce an initial cost audit for a business use case.

Module 2Theme: Prompt caching and memory reduction techniques (tools, methods, deliverables)

The day focuses on advanced prompt caching with frameworks such as LangChain and proprietary solutions. Learners design hierarchical cache strategies, test different similarity algorithms and optimize prompts to maximize hit rates. A complete cache configuration deliverable is produced on a real project.

Module 3Theme: Hardware optimization and model distillation (tools, methods, deliverables)

Participants explore quantization, pruning and model distillation to reduce inference costs. They deploy optimized versions on A100 and H100 GPUs, compare performance and produce ROI reports. Real business cases illustrate achievable gains in production.

Module 4Theme: Scalable architecture and continuous monitoring (tools, methods, deliverables)

The final day covers building resilient architectures with autoscaling and advanced monitoring via Prometheus and Grafana. Learners deploy a complete solution integrating caching and optimization, measure realized savings and submit a certified action plan for their company.

Evaluation method

  • Daily technical quiz on optimization concepts
  • Final project with cost audit and recommendations
  • Oral presentation and group feedback

Learning method

  • Practical exercises on real cloud environments
  • Case studies of companies that reduced their AI expenses
  • Benchmarking and monitoring tools in real conditions
  • Personalized support on the professional project

Methods, materials and delivery

The Training AI Inference Optimization - Reduce AI Costs by 40% 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 AI Inference Optimization - Reduce AI Costs by 40% 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 AI Inference Optimization - Reduce AI Costs by 40% 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 AI Inference Optimization - Reduce AI Costs by 40% training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training AI Inference Optimization - Reduce AI Costs by 40% training?+
The training lasts 4 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?+
Confirmed experience with LLM models, mastery of Python and frameworks like PyTorch or TensorFlow, and prior cloud deployment.
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

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