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.
Learning objectives
- Master RLHF methods in a professional context
- Develop skills in AI model alignment for business
- Design effective human feedback processes
- Implement certifiable RLHF strategies in project management
- Optimize team performance on concrete business cases
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.
Program
Module 1Theme: RLHF Fundamentals Applied to Project Management (tools, methods, deliverables)
Participants discover the basics of RLHF and its integration into AI projects. They explore tools like Reward Modeling and PPO, perform practical exercises on real datasets, and deliver an alignment risk mapping for a business case.
Module 2Theme: Design of RLHF Feedback Loops in a Professional Context (tools, methods, deliverables)
This day focuses on creating human feedback processes. Learners use annotation platforms and simulate sessions with stakeholders, resulting in an optimized workflow deliverable for AI project management projects.
Module 3Theme: Integrating RLHF with PMI and Prince2 Methodologies (tools, methods, deliverables)
Trainees align RLHF with PMI and Prince2 standards. They analyze real cases, configure performance indicators, and produce a project plan integrating human feedback to improve corporate governance.
Module 4Theme: Optimizing Models with RLHF and Gantt Planning (tools, methods, deliverables)
Focus on continuous optimization via RLHF combined with planning tools like Gantt. Participants execute practical iterations, measure performance gains, and submit an updated plan with RLHF milestones for a professional project.
Module 5Theme: RLHF Deployment and Evaluation in Business (tools, methods, deliverables)
The training concludes with full RLHF deployment. Learners finalize a pilot project, integrate acquired skills, and deliver an evaluation report with recommendations for certifiable project management.
Evaluation method
- Final quiz on RLHF concepts
- Practical group case study
- Project deliverable presentation
Learning method
- Practical exercises on AI datasets
- Collaborative in-person workshops
- Personalized trainer feedback
- Real-life business simulations
Methods, materials and delivery
The Training RLHF - Optimizing AI Alignment in Projects 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 Alignment in Projects 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 Alignment in Projects 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.
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.
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.
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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FAQ
Frequently asked questions
How much does the Training RLHF - Optimizing AI Alignment in Projects training cost?+
The individual price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the Training RLHF - Optimizing AI Alignment in Projects 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?+
Basic knowledge of machine learning and experience in project management
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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