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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master Chain-of-Thought prompting techniques 2026 for multi-step AI reasoning
- Develop optimized professional prompts that boost the accuracy of LLM models
- Design automated chains of thought tailored to critical business cases
- Implement cognitive decomposition strategies in certified AI training programs
- Optimize prompt performance for increased team productivity
- Evaluate and refine CoT flows in real professional contexts
- Deploy scalable Chain-of-Thought prompting 2026 solutions in production
Our social commitment
A school kit donated to a child for every training
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
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 1Expert Fundamentals: Chain-of-Thought Prompting 2026 (Advanced LLMs, Cognitive Decomposition)
Dive into the 2026 evolutions of LLM models for Chain-of-Thought, explore granular problem decomposition methods for complex issues, complete practical exercises on logistics and financial optimization cases, test frameworks like LangChain to structure reasoning chains, create your first multi-step prompts with performance metrics, analyze accuracy gains of up to 40% via real benchmarks.
Module 2Advanced Strategies: Chain-of-Thought Prompting 2026 (Self-Reflection, Iterative Loops)
Deepen self-reflective and iterative prompts specific to 2026, apply hybrid Tree-of-Thoughts techniques on business datasets, simulate medical diagnosis and market prediction scenarios, integrate tools like Hugging Face to refine CoT flows, measure impact on AI response robustness, generate deployment-ready deliverables with a focus on production scalability.
Module 3Enterprise Optimization: Chain-of-Thought Prompting 2026 (API Integration, Fine-Tuning)
Integrate Chain-of-Thought prompting 2026 into enterprise APIs via OpenAI and Anthropic, practice contextual fine-tuning on proprietary corpora, handle concrete cases in supply chain and competitive analysis, use dashboards to monitor CoT performance, optimize computational costs by 30%, produce automated pipelines tested under real load conditions.
Module 4Complex Cases: Chain-of-Thought Prompting 2026 (Multimodal, Ethical Reasoning)
Address multimodal Chain-of-Thought prompts 2026 combining text and images, analyze ethical dilemmas in decision-making AI, apply to R&D projects like climate modeling, integrate safeguards via secure prompting, evaluate cognitive biases with quantitative tools, develop deliverable multimodal prototypes, boost reliability of hybrid reasoning.
Module 5Professional Deployment: Chain-of-Thought Prompting 2026 (Evaluation, Expert Certification)
Finalize Chain-of-Thought prompting 2026 deployments in AWS and Azure cloud environments, conduct performance audits on real business projects, prepare for Qualiopi certification via CoT portfolio, review best practices for maximum ROI, simulate live production challenges, receive personalized feedback from expert trainers, leave with a strategic action plan for your organization.
Evaluation method
- Daily interactive quizzes on CoT 2026 prompts
- Business case studies with expert debriefing
- Final certifying project: deployable chain of thought
Learning method
- Practical projects on real 2026 datasets
- Live simulations with cutting-edge LLMs
- Individual feedback in small groups
- Unlimited access to post-training resources
Methods, materials and delivery
The Training Chain-of-Thought Prompting 2026 - Optimizing Complex AI Reasoning 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 Chain-of-Thought Prompting 2026 - Optimizing Complex AI Reasoning 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 Chain-of-Thought Prompting 2026 - Optimizing Complex AI Reasoning 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 Chain-of-Thought Prompting 2026 - Optimizing Complex AI Reasoning training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Chain-of-Thought Prompting 2026 - Optimizing Complex AI Reasoning 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?+
Advanced proficiency in LLMs such as GPT-4 and Llama, experience in complex prompt engineering, solid knowledge in deep learning and probabilistic reasoning
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
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