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 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
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 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, 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
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 - Optimising AI Reasoning training cost?+
The individual price is $6,431 (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 - Optimising 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?+
Mastery of basic prompting, experience with LLMs like GPT-4, and use of AI APIs
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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