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Training Chain-of-Thought Prompting - Optimizing Expert Reasoning in AI

Ref: QIS944
10 people max.
From $5,775 HT / per person
On-site on request · +$540 with certification exam
5 days
remote

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Microsoft
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Learning objectives

  • Master advanced Chain-of-Thought prompting techniques in a certified professional training program.
  • Develop expert skills to design complex reasoning in enterprise AI models.
  • Create prompting frameworks tailored to strategic professional projects.
  • Implement optimized Chain-of-Thought workflows to improve AI solution performance.
  • Optimize internal training processes by integrating structured reasoning methods.
  • Evaluate and deploy certifying prompting strategies within technical teams.
A child walking to school with a backpack
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.

Kheireddin KADRI
Kheireddin KADRI

Learni trainer · Data & AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Advanced foundations of Chain-of-Thought prompting (LLM tools, reasoning methods, framework deliverables)

Participants explore the theoretical foundations of Chain-of-Thought prompting through real-world case analyses. They use OpenAI and Anthropic APIs to test step-by-step reasoning sequences. Practical exercises enable the creation of structured templates and measurement of their impact on response accuracy. The final deliverable is an initial prompting framework applicable to enterprise projects.

Module 2Theme: Designing complex reasoning chains with Chain-of-Thought prompting (frameworks, benchmarks, prototype deliverables)

This day deepens the construction of multi-step chains. Learners manipulate tools such as LangChain to integrate verification and correction steps. Real business cases support the exercises. Each participant produces a Chain-of-Thought workflow prototype evaluated on reliability metrics and error reduction.

Module 3Theme: Optimization and scaling of Chain-of-Thought prompting (evaluation tools, iterative methods, pipeline deliverables)

Experts learn to scale techniques across large data volumes. They configure automated pipelines with monitoring and light fine-tuning tools. Practical sessions include log analysis and prompt adjustment. The deliverable is an operational pipeline ready for integration into an AI production environment.

Module 4Theme: Integrating Chain-of-Thought prompting into enterprise systems (architectures, governance methods, audit deliverables)

The day focuses on secure integration into existing systems. Participants work on hybrid architectures combining LLMs and internal knowledge bases. Practical workshops simulate deployments with compliance constraints. The deliverable includes a comprehensive audit and governance recommendations for professional projects.

Module 5Theme: Final evaluation and Chain-of-Thought prompting certification (measurement tools, reporting methods, strategic deliverables)

Learners finalize their project by presenting quantified results to the group. They use evaluation dashboards to demonstrate performance gains. Experience sharing and personalized action plans complete the training. Each participant receives a strategic deliverable ready for deployment in their organization.

Evaluation method

  • Daily interactive quizzes on Chain-of-Thought prompting concepts.
  • Final project evaluated on workflow quality and measurable results.
  • Oral presentation with practical demonstration and business case analysis.

Learning method

  • Access to an LMS platform with resources and recordings.
  • Practical exercises with personalized feedback.
  • Peer support community and weekly Q&A sessions.
  • Technical support during and after the training.

Methods, materials and delivery

The Training Chain-of-Thought Prompting - Optimizing Expert Reasoning in AI 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 - Optimizing Expert Reasoning in AI 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 - Optimizing Expert Reasoning in AI 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 Chain-of-Thought Prompting - Optimizing Expert Reasoning in AI 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 - Optimizing Expert Reasoning in AI 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?+
Confirmed mastery of prompt engineering, experience in LLM modeling and regular practice with Python environments and 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.
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