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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training Chain-of-Thought Prompting - Optimize AI Reasoning training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
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The assessment of skills acquired during the Training Chain-of-Thought Prompting - Optimize AI Reasoning training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into the deep mechanisms of Chain-of-Thought prompting with practical exercises on OpenAI and Hugging Face APIs, test Zero-shot CoT to solve complex mathematical problems in a reasoned flow, explore Few-shot CoT through business examples like financial analysis or fraud detection, integrate LangChain to structure automated prompt chains, complete the first phase of the ongoing project on a real business case with iterative optimization and before/after accuracy measurement, produce production-ready deliverables.
Apply Chain-of-Thought to diverse professional scenarios such as strategic report generation or decision-making automation, experiment with Tree-of-Thoughts to explore multiple reasoning paths with backtracking, use evaluation tools like ROUGE or BLEU to quantify accuracy gains up to 40%, optimize prompts for enterprise scalability via fine-tuning and caching, finalize the ongoing project with deployment on Streamlit or Vercel, benefit from personalized code reviews and an action plan to integrate CoT into your daily workflows immediately upon completion.
Target audience
Prompt engineers, data scientists, corporate AI managers seeking to upskill
Prerequisites
Mastery of basic prompting, experience using LLM APIs like OpenAI GPT or equivalents
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