CORPORATE
CORPORATE
CORPORATE
AI STRATEGY TRAINING
AI STRATEGY TRAINING
AI STRATEGY TRAINING
FOR BUSINESS LEADERS AND DATA PRACTITIONERS
FOR BUSINESS LEADERS AND DATA PRACTITIONERS
AI FOR CORPORATE STRATEGY
We want to co-create with our enterprise clients and partners, and contribute to the development of the AI community as a whole. With that, we’d like to offer a series of business and technical-oriented trainings and workshops.
AI FOR CORPORATE STRATEGY
We want to co-create with our enterprise clients and partners, and contribute to the development of the AI community as a whole. With that, we’d like to offer a series of business and technical-oriented trainings and workshops.
HANDS-ON AI
Our trainings are designed for different audiences: business executives, data team leads and data practitioners and aim to provide skills and knowledge that can be applied immediately. We also offer customized training, by personalizing the curriculum based on the business context.
HANDS-ON AI
Our trainings are designed for different audiences: business executives, data team leads and data practitioners and aim to provide skills and knowledge that can be applied immediately. We also offer customized training, by personalizing the curriculum based on the business context.
TRAINING CATALOG
TRAINING CATALOG
Description
Audience
Duration
Cost
AI Strategy Fundamentals
Learn the foundational concepts of AI and its applications in business
Understand how to align AI initiatives with business objectives
Learn the best practices on building an AI roadmap and create a roadmap template that can be used for your company
Learn the foundational concepts of AI and its applications in business
Understand how to align AI initiatives with business objectives
Learn the best practices on building an AI roadmap and create a roadmap template that can be used for your company
Business leaders
Managers
Strategists
1 .5 days
12 hours
Introduction into LLM Ecosystem
Understand what large language models (LLMs) are and how they work
Explore key LLM providers and platforms (OpenAI, Meta, Antropic etc.)
Identify use cases for LLMs in specific industries and workflows.
Practical steps to integrate LLMs into your tech stack
Understand what large language models (LLMs) are and how they work
Explore key LLM providers and platforms (OpenAI, Meta, Antropic etc.)
Identify use cases for LLMs in specific industries and workflows.
Practical steps to integrate LLMs into your tech stack
Data scientists
Tech leads
Managers
2 days
16 hours
AI for Executive Leadership
Gain clarity on the role of AI in shaping competitive strategies
Learn to identify high-impact AI use cases for your organization
Build a framework for ethical AI governance and risk management
Change management strategies for AI-driven cultural transformations
Gain clarity on the role of AI in shaping competitive strategies
Learn to identify high-impact AI use cases for your organization
Build a framework for ethical AI governance and risk management
Change management strategies for AI-driven cultural transformations
C-suite executives
Directors
1 day
6 hours
Operationalizing AI: From Pilot to Scale
Keys to running a successful POC: what use case, duration, KPIs
Learn how to transition from AI proofs of concept to enterprise-wide deployment
Discover scalable frameworks and tools for managing AI projects
Understand how to overcome common challenges in scaling AI initiatives
Explore real-world case studies of successful AI scaling
Keys to running a successful POC: what use case, duration, KPIs
Learn how to transition from AI proofs of concept to enterprise-wide deployment
Discover scalable frameworks and tools for managing AI projects
Understand how to overcome common challenges in scaling AI initiatives
Explore real-world case studies of successful AI scaling
AI project managers
Operations teams
2 days
16 hours
AI Ethics and Responsible AI
Understand the principles of ethical AI and its importance in building trust
Learn methods to identify and mitigate bias in AI systems
Gain knowledge of regulatory requirements for AI systems (e.g., GDPR, AI Act)
Understand the principles of ethical AI and its importance in building trust
Learn methods to identify and mitigate bias in AI systems
Gain knowledge of regulatory requirements for AI systems (e.g., GDPR, AI Act)
Compliance officers
Risk managers
AI teams
1 day
8 hours
Step-by-step Guide to Pre-training, Fine-tuning, and Testing
Step-by-step Guide to Pre-training,
Fine-tuning, and Testing
Gain a detailed understanding of the pre-training process for AI models
Learn practical methods for fine-tuning models for specific tasks
Explore tools and frameworks for efficient model training and testing
Hands-on exercises to build and deploy a working AI model
Gain a detailed understanding of the pre-training process for AI models
Learn practical methods for fine-tuning models for specific tasks
Explore tools and frameworks for efficient model training and testing
Hands-on exercises to build and deploy a working AI model
Machine learning engineers
Data scientists
3 days
24 hours
TEAM
TEAM
ANASTASIA STASENKO
Dr. Anastasia Stasenko specializes in making AI technologies accessible and impactful in organizational settings. Her work focuses on developing human-centered LLM solutions that bridge technical capabilities with practical business needs. She has extensive experience in implementing large language models in regulated environments, particularly in education and public sector contexts. At pleias, she leads the development of enterprise-grade AI assistants, combining efficient natural language processing with rigorous compliance requirements.
A graduate of École Normale Supérieure (ENS) Ulm, she holds a Ph.D. in Philosophy as well as a degree from ESCP Business School. She is currently an Associate Lecturer at Sorbonne-Nouvelle University where she teaches Data Analysis and AI for Communications and Marketing.
PIERRE-CARL-LANGLAIS
Dr. Pierre-Carl Langlais is a researcher in artificial intelligence and information sciences with over a decade of expertise in developing innovative AI applications for complex textual analysis. His groundbreaking doctoral research, which applied advanced text mining techniques to analyze the emergence of financial journalism in the 19th century, was awarded the 2016 SFSIC Research Prize.
His technical expertise centers on building AI systems that combine high performance with full auditability, particularly for regulated industries. He has pioneered techniques for training language models exclusively on open data while maintaining competitive performance levels. At pleias, he architects AI solutions that meet stringent European compliance requirements while delivering practical business value. He teaches advanced natural language processing at Sciences Po Paris.
KATE PAVLOVA
Kate Pavlova specializes in connecting business challenges with tailored technical solutions. She focuses on helping business leaders identify impactful use cases at the intersection of operations and data. With more than 12 years of consulting experience working with S&P 500 clients across diverse industries, she has hands-on expertise in leading end-to-end data transformation projects, spanning solution architecture, implementation, and change management. She teaches Digital Marketing at the Age of AI at Sorbonne-Nouvelle.
ANASTASIA STASENKO
Dr. Anastasia Stasenko specializes in making AI technologies accessible and impactful in organizational settings. Her work focuses on developing human-centered LLM solutions that bridge technical capabilities with practical business needs. She has extensive experience in implementing large language models in regulated environments, particularly in education and public sector contexts. At pleias, she leads the development of enterprise-grade AI assistants, combining efficient natural language processing with rigorous compliance requirements.
A graduate of École Normale Supérieure (ENS) Ulm, she holds a Ph.D. in Philosophy as well as a degree from ESCP Business School. She is currently an Associate Lecturer at Sorbonne-Nouvelle University where she teaches Data Analysis and AI for Communications and Marketing.
PIERRE-CARL-LANGLAIS
Dr. Pierre-Carl Langlais is a researcher in artificial intelligence and information sciences with over a decade of expertise in developing innovative AI applications for complex textual analysis. His groundbreaking doctoral research, which applied advanced text mining techniques to analyze the emergence of financial journalism in the 19th century, was awarded the 2016 SFSIC Research Prize.
His technical expertise centers on building AI systems that combine high performance with full auditability, particularly for regulated industries. He has pioneered techniques for training language models exclusively on open data while maintaining competitive performance levels. At pleias, he architects AI solutions that meet stringent European compliance requirements while delivering practical business value. He teaches advanced natural language processing at Sciences Po Paris.
KATE PAVLOVA
Kate Pavlova specializes in connecting business challenges with tailored technical solutions. She focuses on helping business leaders identify impactful use cases at the intersection of operations and data. With more than 12 years of consulting experience working with S&P 500 clients across diverse industries, she has hands-on expertise in leading end-to-end data transformation projects, spanning solution architecture, implementation, and change management. She teaches Digital Marketing at the Age of AI at Sorbonne-Nouvelle.
ANASTASIA STASENKO
Dr. Anastasia Stasenko specializes in making AI technologies accessible and impactful in organizational settings. Her work focuses on developing human-centered LLM solutions that bridge technical capabilities with practical business needs. She has extensive experience in implementing large language models in regulated environments, particularly in education and public sector contexts. At pleias, she leads the development of enterprise-grade AI assistants, combining efficient natural language processing with rigorous compliance requirements.
A graduate of École Normale Supérieure (ENS) Ulm, she holds a Ph.D. in Philosophy as well as a degree from ESCP Business School. She is currently an Associate Lecturer at Sorbonne-Nouvelle University where she teaches Data Analysis and AI for Communications and Marketing.
PIERRE-CARL-LANGLAIS
Dr. Pierre-Carl Langlais is a researcher in artificial intelligence and information sciences with over a decade of expertise in developing innovative AI applications for complex textual analysis. His groundbreaking doctoral research, which applied advanced text mining techniques to analyze the emergence of financial journalism in the 19th century, was awarded the 2016 SFSIC Research Prize.
His technical expertise centers on building AI systems that combine high performance with full auditability, particularly for regulated industries. He has pioneered techniques for training language models exclusively on open data while maintaining competitive performance levels. At pleias, he architects AI solutions that meet stringent European compliance requirements while delivering practical business value. He teaches advanced natural language processing at Sciences Po Paris.
KATE PAVLOVA
Kate Pavlova specializes in connecting business challenges with tailored technical solutions. She focuses on helping business leaders identify impactful use cases at the intersection of operations and data. With more than 12 years of consulting experience working with S&P 500 clients across diverse industries, she has hands-on expertise in leading end-to-end data transformation projects, spanning solution architecture, implementation, and change management. She teaches Digital Marketing at the Age of AI at Sorbonne-Nouvelle.
PLEIAS
PLEIAS
ETHICAL AI SOLUTIONS FOR ENTERPRISE, AT SCALE AND ON BUDGET
Pleias is a research lab and consulting company that develops energy efficient, compliant and ethical AI solutions. We accompany our corporate and institutional clients through the entire cycle from strategy and use case development, AI solution architecture, LLM customization, pre-training, finetuning all the way to the pilot phase and adoption at scale.
Our main objective is to prove that AI projects can be not only ethical and compliant, but also don’t require massive budgets. Our current suite of LLMs is designed to solve all of the above, but we know that technical component is just a part of the solution.
Our recent use cases already demonstrate the concrete impact of our technology:
Albert
Albert
Albert
Cassandre
Cassandre
Cassandre
Karibu
Karibu
Karibu
CONTACT US
CONTACT US
We build energy-efficient LLMs for information-intensive
and highly-regulated industries.
© 2025 PleIAs
UP
We build energy-efficient LLMs for information-intensive
and highly-regulated industries.
© 2025 PleIAs
UP
We build energy-efficient LLMs for information-intensive and highly-regulated industries.
© 2025 PleIAs