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Training Chain-of-Thought Prompting - Optimising AI Reasoning

Ref: DDC349
10 people max.
6125€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master advanced Chain-of-Thought prompting techniques for precise AI responses
  • Develop structured prompts optimising step-by-step reasoning in business contexts
  • Implement CoT variants like Tree-of-Thoughts in professional projects
  • Design complex prompt chains to solve business problems with certification
  • Optimise LLM performance via CoT for scalable applications
  • Evaluate and iterate CoT prompts using quantitative metrics in professional settings
  • Deploy CoT solutions integrated into automated business workflows

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Chain-of-Thought Prompting Fundamentals: Setup and Initial Structured Exercises (OpenAI LLMs, Anthropic)

Installation of testing environments with GPT-4 and Claude APIs, exploration of zero-shot vs. few-shot prompting limitations, creation of initial CoT prompts to solve complex logical tasks, practical exercises on business data analysis cases, comparative analysis of outputs with and without step-by-step reasoning, production of reusable templates, and immediate trainer feedback to refine professional skills.

Module 2Intermediate Chain-of-Thought Prompting Techniques: Self-Reasoning and Decomposition (LangChain Tools, Dynamic Prompts)

Deep dive into self-consistency CoT for more robust responses, decomposition of business problems into sub-steps with concrete supply chain optimisation examples, integration of LangChain for advanced prompt chaining, practical workshops on real business datasets, generation of automated reports via iterative reasoning, measurement of success rate improvements exceeding 40%, and customisation of personal certifiable CoT workflows.

Module 3Advanced Chain-of-Thought Prompting Variants: Tree-of-Thoughts and Graph-of-Thoughts (Hybrid Models, Evaluation)

Introduction to ToT and GoT extensions for exploring multiple decision trees, application to business scenarios like financial forecasting or fraud detection, use of frameworks like Guidance to structure graphs, collaborative remote exercises on critical cases, production of reasoning visualisations, performance benchmarking with metrics like BLEU and ROUGE, and rapid iteration for scalable, reliable professional solutions.

Module 4Chain-of-Thought Prompting Optimisation: Fine-Tuning and Human-AI Hybridisation (Hugging Face Tools, A/B Testing)

Prompt compression techniques to reduce token costs in production, CoT hybridisation with human agents for 25% increased accuracy, lightweight fine-tuning on custom datasets via Hugging Face, A/B testing on real business applications, analysis of biases and hallucinations via explicit reasoning, creation of automated monitoring pipelines, and development of deployable deliverables to strengthen generative AI certification skills.

Module 5Chain-of-Thought Prompting Deployment and Use Cases: Ongoing Business Projects (Production APIs, Security)

Deployment of CoT solutions on Streamlit or Vercel for interactive dashboards, secure integration with ethical guardrails and rate limiting, study of concrete cases like R&D automation or customer support, finalisation of personal ongoing project with peer review, ROI evaluation via quantified simulations, provision of complete materials and post-training action plan for immediate implementation to boost team productivity.

Evaluation method

  • Advanced multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical CoT exercises
  • Defense of the ongoing project with performance metrics

Learning method

  • Courses led by an active prompting expert
  • Practical exercises on real business AI cases
  • Progressive 5-day ongoing CoT project
  • Complete course materials and templates provided

Methods, materials and delivery

The Training Chain-of-Thought Prompting - Optimising AI Reasoning program is delivered onsite or remote (blended-learning, e-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 - Optimising 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 - Optimising 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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