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.
Trusted by — schools, companies and industrial groups
Learning objectives
- Master advanced 2026 prompt engineering techniques to optimize interactions with LLMs in professional training.
- Develop skills in structuring complex prompts tailored to business needs.
- Design multi-step prompt chains for certified and high-performing AI applications.
- Implement few-shot and chain-of-thought strategies in a professional context.
- Optimize prompts to reduce hallucinations and boost AI response accuracy.
- Evaluate and iterate on prompts in teams for real business projects.
- Acquire certified prompt engineering skills for rapid career transition or advancement.
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 1Prompt Engineering Fundamentals 2026: Advanced Techniques for LLMs (GPT-5, Claude 3, Iterative Exercises)
Discover the evolutions of prompt engineering 2026 with tools like OpenAI Playground and Anthropic Console. Start by analyzing failing prompts through real business cases, practice structured reformulation with role-playing and zero-shot learning, proceed to collaborative workshops to create reusable templates, test in real-time accuracy on professional datasets, and produce your first optimized deliverables for internal chatbots, while measuring immediate performance gains.
Module 2Advanced Prompt Engineering Applications 2026: Multi-Prompt Chains and Optimization (LangChain Tools, Evaluation Metrics)
Dive into 2026 prompt chains with LangChain and LlamaIndex for complex workflows. Explore chain-of-thought and tree-of-thoughts on real business scenarios like data analysis or content generation, perform practical A/B testing iteration exercises to minimize biases and hallucinations, integrate autonomous agents via dynamic prompts, collaborate in pairs on a business capstone project, deploy solutions via secure APIs, and validate results with metrics like BLEU score and simulated ROI, for directly applicable skills.
Evaluation method
- Interactive quizzes and practical challenges on 2026 prompts to validate learning in real-time.
- Business case studies with personalized feedback from expert trainers.
- Final deployable prompt engineering project, graded on professional certification criteria.
Learning method
- Active methods: 70% hands-on practice with real AI tools to anchor skills.
- Small groups of 10 participants for optimal individualized follow-up.
- Real business cases for immediate on-the-job application.
- Post-training resources: 2026 prompt templates and alumni community.
Methods, materials and delivery
The Training Prompt Engineering 2026 - Optimizing Advanced AI Prompts 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 - Optimizing Advanced AI Prompts 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 - Optimizing Advanced AI Prompts 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 Prompt Engineering 2026 - Optimizing Advanced AI Prompts training cost?+
The individual price is $2,310, and the team / on-site price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the Training Prompt Engineering 2026 - Optimizing Advanced AI Prompts training?+
The training lasts 2 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 artificial intelligence, use of APIs like OpenAI GPT, and Python programming skills for handling language models.
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.
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