Cafiac's "Introduction to AI for Beginners" training is designed to help learners acquire basic knowledge of artificial intelligence and collective intelligence (AI & CI). This training program covers the basic concepts of AI, data models, machine learning and practical applications. Learners will acquire essential knowledge to understand AI technologies and how to apply them to their business or personal projects.
The training program is divided into several courses, each covering an important aspect of AI:
Introduction to AI: This course introduces the basic concepts of AI, as well as the technologies and tools used to develop AI systems.
Data Models : This course explains how data is collected, cleaned, and prepared for machine learning.
Machine Learning: This course covers machine learning techniques and algorithms, including linear regression, decision trees, and neural networks.
Practical applications : This course shows how AI technologies can be applied to real-world problems, such as image recognition and classification.
The objectives of this training are to enable learners to:
Understand basic AI concepts and technologies
Master machine learning techniques
Apply AI techniques to real-world problems
Discover the opportunities and challenges of AI
By taking this course, learners will have the basic skills needed to work with AI experts and apply AI technologies to their business. They will also be able to continue to deepen their knowledge by enrolling in other training courses offered by Cafiac.
Subscribe to this AI course if you are a new in the field or just interested to know more about AI and get a quick overview (business, technical, risks and opportunitiess etc...).
Formation Cafiac
Contenu de la formation
Cafiac's "Introduction to AI for Beginners" training is designed to help learners acquire basic knowledge of artificial intelligence and collective intelligence (AI & CI). This training program covers the basic concepts of AI, data models, machine learning and practical applications. Learners will acquire essential knowledge to understand AI technologies and how to apply them to their business or personal projects.
The training program is divided into several courses, each covering an important aspect of AI:
Introduction to AI: This course introduces the basic concepts of AI, as well as the technologies and tools used to develop AI systems.
Data Models : This course explains how data is collected, cleaned, and prepared for machine learning.
Machine Learning: This course covers machine learning techniques and algorithms, including linear regression, decision trees, and neural networks.
Practical applications : This course shows how AI technologies can be applied to real-world problems, such as image recognition and classification.
The objectives of this training are to enable learners to:
Subscribe to this AI course if you are a new in the field or just interested to know more about AI and get a quick overview (business, technical, risks and opportunitiess etc...).