Orléans, Central Station

NobleProg Orléans, 43 Avenue de Paris, Orléans, france, 45000
La Factory offers renovated offices in the heart of the city of Orléans, near the Central Station. Train, tram, buses, and s...

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Building Intelligent Applications with AI and ML

28 Hours
This instructor-led, live training in Orleans (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and
software developers who wish to build intelligent applications using AI and ML.By the end of this training, participants will be able to:
  • Understand the advanced concepts and technologies behind AI and ML.
  • Analyze and visualize data to inform AI/ML model development.
  • Build, train, and deploy AI/ML models effectively.
  • Create intelligent applications that can solve real-world problems.
  • Evaluate the ethical implications of AI applications in various industries.
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Intelligent Applications Advanced

21 Hours
This instructor-led, live training in Orleans (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.By the end of this training, participants will be able to:
  • Implement and analyze deep learning architectures.
  • Apply machine learning at scale in a distributed computing environment.
  • Design and execute reinforcement learning models for decision-making.
  • Develop sophisticated NLP systems for language understanding.
  • Utilize computer vision techniques for image and video analysis.
  • Address ethical considerations in the development and deployment of AI systems.
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Intelligent Applications Fundamentals

14 Hours
This instructor-led, live training in Orleans (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.By the end of this training, participants will be able to:
  • Understand the history, principles, and impact of artificial intelligence.
  • Identify and apply different machine learning algorithms.
  • Manage and analyze data effectively for AI applications.
  • Recognize the practical applications and limitations of AI in different sectors.
  • Discuss the ethical considerations and societal implications of AI technology.
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Testimonials (10)

examples and exercises

Kamil
Course - Introduction to Data Science and AI using Python

Machine Translated

The course is very interesting being the main focus nowdays

mohamed taher - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)

Ahmed was very interactive and didn’t mind answering any kind of questions Well presentation and smooth flow of the course

Mohamed Ghowaiba - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)

Helpful and good listener .. interactive

Ahmed El Kholy - FAB banak Egypt
Course - Introduction to Data Science and AI (using Python)

All the information presented

Jose Victor - si
Course - Artificial Intelligence (AI) for Managers

The exercises and examples presented.

Marcos - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

Machine Learning Themes

Víctor Edgar - si
Course - Artificial Intelligence (AI) for Managers

The teacher's attitude

Ivonne Guadalupe Avendaño Hernandez - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

The concepts taught were clear, practical and help a lot in getting an idea of how to use this AI & ML topic.

Miguel - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.

Terry Strachan - Exel Computer Systems plc
Course - OptaPlanner in Practice

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