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The Training: Mastering PromptLayer for the Management and Optimization of AI Prompts 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.
To ensure the quality of the Training: Mastering PromptLayer for the Management and Optimization of AI Prompts training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training: Mastering PromptLayer for the Management and Optimization of AI Prompts 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.
Presentation of prompt management challenges; discovery of the PromptLayer interface (Dashboard, API Keys management, project setup); installation via pip or Docker; initial configuration with OpenAI, connection test, and first prompt logs.
Automatic recording of API calls, annotation and versioning of prompts, structuring of workflows, management of changes, and best naming practices to easily retrieve prompts and variants.
Visualization of prompt and model response history, metrics analysis, identification of high-performing prompts, facilitated debugging; introduction to A/B testing to select the most effective prompts based on business objectives.
Integration of PromptLayer with a Python application connected to OpenAI; real-time tracking of user-generated prompts; iteration on improving production messages; sharing of experiences and conclusions.
Target audience
Developers, Data Scientists, Product Managers, R&D teams using or wishing to optimize generative AI-based solutions
Prerequisites
Good knowledge of the general operation of AI APIs (OpenAI, Hugging Face) and prompts
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