Our training courses are carefully designed to allow your teams to develop the essential skills and knowledge for an innovative and effective integration of Artificial Intelligence into your operations.
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This session introduces essential AI concepts and the critical role of data. We cover the foundations of AI, the differences between Machine Learning and LLMs, and showcase concrete examples demonstrating how data cleaning and structuring directly impact AI model performance.
Data quality is crucial for the success of any AI application. In this training, your teams will learn to handle and clean files (Excel/CSV) to ensure reliability, removing errors and duplicates. A hands-on workshop will demonstrate the tangible improvements that proper data cleaning brings to AI models.
This session covers selecting AI models aligned with your objectives and mastering prompt engineering techniques to optimize LLMs. Participants will explore model selection criteria and discover fine-tuning strategies to adapt models to your organization’s specific needs.
In these interactive workshops, your teams will test prompts and adjust models on platforms such as GPT Playground and LangSmith. This session provides training on concrete AI applications, including data extraction and content generation.
This module guides your teams through AI project management, covering everything from defining use cases and setting objectives to data governance and solution industrialization. With insights on establishing effective governance, this module provides a solid structure for maximizing the impact of your AI projects.
To conclude, your teams will participate in a brainstorming workshop to identify and plan initial AI initiatives. This module includes discussions on quick wins, projects with progressive impact, and larger-scale initiatives, allowing for the creation of a strategic roadmap to integrate AI within your organization and client services.
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