Training RLHF - Optimizing AI Models in the Enterprise

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: BGI176
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that ignore RLHF lose competitiveness on modern AI models.

  • Studies show that 67% of poorly optimized APIs fail to retain their users after six months.

  • Without these skills, teams stagnate and AI projects rack up delays and extra costs.

  • Failing to master RLHF limits career opportunities and exposes the company to outdated solutions against the competition.

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

40,869 programs · 25 countries

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

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

RLHF training objectives

  • Master the fundamentals of RLHF for professional projects
  • Develop solid skills in human feedback applied to APIs
  • Design RLHF pipelines tailored to business needs
  • Implement certifying models with OpenAPI and Webhooks
  • Optimize AI performance in API development contexts

Program

RLHF curriculum: 5 modules over 5 days

Module 1 : Theme: Introduction to RLHF for APIs (Python, Hugging Face)

Participants discover the principles of RLHF applied to API development. They explore basic concepts with practical exercises on simple models, use Python and Hugging Face to simulate human feedback, and deliver an initial API integration schema.

Module 2 : Theme: Collecting Human Feedback in RLHF (Label Studio)

This day focuses on data collection and annotation for RLHF. Learners configure tools like Label Studio, carry out concrete feedback cases on API endpoints, and produce a dataset ready for professional training.

Module 3 : Theme: RLHF Training and OpenAPI Integration (LoRA, TRL)

Professionals learn to fine-tune models with RLHF using LoRA and the TRL library. They integrate results into OpenAPI specifications, perform practical exercises, and deliver a documented API with Swagger.

Module 4 : Theme: Deploying RLHF Webhooks in Production (FastAPI)

Participants deploy RLHF systems with webhooks via FastAPI. They test real business scenarios, optimize feedback flows, and deliver a functional API with performance monitoring.

Module 5 : Theme: RLHF Evaluation and Certification for APIs (Testing, Reporting)

The final day covers RLHF model evaluation. Learners perform automated tests, generate professional reports, and finalize a deliverable certifying their API development skills.

How RLHF skills are assessed

  • Daily quizzes on RLHF concepts
  • Final evaluated API integration project
  • Continuous feedback from trainers

How the RLHF course is taught

  • Practical workshops every day
  • Concrete business use cases
  • Documentation provided in English
  • Access to post-training resources

RLHF training: access and practical arrangements

The Training RLHF - Optimizing AI Models in the Enterprise 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 RLHF - Optimizing AI Models 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 RLHF - Optimizing AI Models 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

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 RLHF 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

RLHF: frequently asked questions

Which tools are used in RLHF training?+
Hands-on work runs on python, hugging Face, label Studio, loRA, TRL and fastAPI. Those tools come from the RLHF program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after RLHF training?+
They can master the fundamentals of RLHF for professional projects, develop solid skills in human feedback applied to APIs and design RLHF pipelines tailored to business needs. Those are the stated objectives of the RLHF program at Beginner level, checked by the end-of-session assessment.
What does the RLHF program cover, day by day?+
Day 1: Theme: Introduction to RLHF for APIs (Python, Hugging Face). Day 2: Theme: Collecting Human Feedback in RLHF (Label Studio). Day 3: Theme: RLHF Training and OpenAPI Integration (LoRA, TRL). Day 4: Theme: Deploying RLHF Webhooks in Production (FastAPI). Day 5: Theme: RLHF Evaluation and Certification for APIs (Testing, Reporting). The RLHF program runs over 5 days, delivered on site.
How is RLHF training assessed?+
Assessment relies on daily quizzes on RLHF concepts, final evaluated API integration project and continuous feedback from trainers. Learni issues a completion certificate together with the individual assessment report at the end of the RLHF program, which an L&D team can file as evidence.
How much does RLHF training cost per participant?+
RLHF training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 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 RLHF training take?+
5 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 RLHF 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 RLHF training?+
Basics in Python programming and elementary notions of machine learning.
Is a certificate issued after RLHF 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 RLHF 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.
Your professional training, anywhere

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