Training AI Inference Optimization - Reduce AI Costs by 40%

Specialist course · Minimum level required

$6,300

  • 4 days
  • Onsite
  • 10 people max.
Ref: CVO603
10 people max.
$6,300
In-company rate: from $10,710 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
4 days
Onsite

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, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,181 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

AI Inference Optimization training 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.

Program

AI Inference Optimization curriculum: 4 modules over 4 days

Module 1 : Theme: 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 2 : Theme: 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 3 : Theme: 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 4 : Theme: 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.

How AI Inference Optimization skills are assessed

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

How the AI Inference Optimization course is taught

  • 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

AI Inference Optimization training: access and practical arrangements

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.

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.

Our method

How Learni guarantees the quality of your AI Inference Optimization training

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

AI Inference Optimization: frequently asked questions

Which tools are used in AI Inference Optimization training?+
Hands-on work runs on tools, benchmarks, deliverables and methods. Those tools come from the AI Inference Optimization program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after AI Inference Optimization training?+
They can master advanced techniques for optimizing inference costs in certified professional training, develop solid skills in prompt caching to reduce latency in the enterprise and design high-performance AI architectures tailored to real business needs. Those are the stated objectives of the AI Inference Optimization program at Advanced level, checked by the end-of-session assessment.
What does the AI Inference Optimization program cover, day by day?+
Day 1: Theme: Fundamentals of inference and cost analysis (tools, benchmarks, deliverables). Day 2: Theme: Prompt caching and memory reduction techniques (tools, methods, deliverables). Day 3: Theme: Hardware optimization and model distillation (tools, methods, deliverables). Day 4: Theme: Scalable architecture and continuous monitoring (tools, methods, deliverables). The AI Inference Optimization program runs over 4 days, delivered on site.
How is AI Inference Optimization training assessed?+
Assessment relies on daily technical quiz on optimization concepts, final project with cost audit and recommendations and oral presentation and group feedback. Learni issues a completion certificate together with the individual assessment report at the end of the AI Inference Optimization program, which an L&D team can file as evidence.
How much does AI Inference Optimization training cost per participant?+
AI Inference Optimization training costs $6,300 per participant. For an in-company team, the flat rate starts at $10,710 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does AI Inference Optimization training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for AI Inference Optimization training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before AI Inference Optimization training?+
Confirmed experience with LLM models, mastery of Python and frameworks like PyTorch or TensorFlow, and prior cloud deployment.
Is a certificate issued after AI Inference Optimization training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for AI Inference Optimization training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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