Built for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone
← Back

Training Prompt Engineering 2026 - Optimize AI for Maximum Productivity

Ref: DOL121
10 people max.
From $4,620 HT / per person
Group rate: $11,550 (team / on-site)
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Remote

Share in 2 clicks

Trusted by — schools, companies and industrial groups
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft

Learning objectives

  • Master advanced prompt engineering techniques for 2026 to achieve professional AI results
  • Develop optimized prompts tailored to next-generation AI models
  • Design complex prompt chains to automate business tasks
  • Implement certified prompt engineering strategies to boost productivity
  • Optimize AI interactions to reduce costs and errors in your projects
  • Evaluate and iterate on prompts using professional metrics
  • Deploy scalable prompts in enterprise environments

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 1Fundamentals: Advanced Prompt Engineering Techniques 2026 (GPT-5 models, Claude 4, benchmarking tools)

Immersion in 2026 LLM evolutions, hands-on with tools like Promptfoo and LangSmith for testing prompts, practical exercises on zero-shot and few-shot structuring, creation of generic prompts for enterprise data analysis, analysis of real cases with immediate trainer feedback, production of your first reusable productivity-optimized template.

Module 2Complex Chains: Prompt Engineering 2026 for Automations (AI agents, RAG, function calling)

Building multi-step prompt chains with tools like LangChain and LlamaIndex, implementation of Retrieval-Augmented Generation on internal databases, exercises on autonomous agents solving complex business tasks, live testing on enterprise scenarios like automated report generation, collaborative iteration to refine accuracy and speed, delivery of a fully deployable workflow.

Module 3Optimization: High-Performance Prompt Engineering 2026 (fine-tuning, evaluation metrics, security)

Exploration of jailbreak-resistant and bias-mitigated prompts for GDPR compliance, use of metrics like BLEU, ROUGE, and custom scores via OpenAI API, practical A/B testing workshops on various prompts, optimization for latency reduction up to 70% on 2026 models, real enterprise cases in marketing and customer support, development of a personal prompt monitoring dashboard.

Module 4Professional Deployment: Prompt Engineering 2026 in Production (API integration, enterprise scaling)

Integration of advanced prompts into applications via Vercel AI SDK and Streamlit, deployment on AWS or Azure cloud with Drift monitoring, simulations of high loads for 1000+ requests/day, exercises on multi-model hybridization, code review by the trainer on your red thread project, finalization of a certified enterprise-ready kit with documentation and 2026 best practices.

Evaluation method

  • Technical MCQ on advanced prompt engineering techniques
  • Continuous evaluation through chaining and optimization exercises
  • Presentation of the red thread project: automated prompt chain

Learning method

  • Courses led by an active prompt engineering expert
  • Practical exercises on real 2026 enterprise AI cases
  • Progressive red thread project: develop a complete prompt solution
  • Complete course materials and templates provided to each participant

Methods, materials and delivery

The Training Prompt Engineering 2026 - Optimize AI for Maximum Productivity 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 Prompt Engineering 2026 - Optimize AI for Maximum Productivity 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 Prompt Engineering 2026 - Optimize AI for Maximum Productivity 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 Prompt Engineering 2026 - Optimize AI for Maximum Productivity training cost?+
The individual price is $4,620, and the team / on-site price is $11,550 (USD). A detailed quote is sent within one business day.
How long is the Training Prompt Engineering 2026 - Optimize AI for Maximum Productivity 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?+
Basics in generative AI, daily use of ChatGPT or similar models, basic knowledge of Python
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.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available