Digital Boost: AI - Practitioner

Issued by Akkodis Group

This course focuses on programming with Python and its libraries for machine learning, deep learning, and NLP. We will work on projects that include everything from environment setup, data preparation, model selection, training, evaluation, prediction, and conclusions. Relevant business topics will also be discussed, such as privacy and data protection issues in the use of AI within the company.

Type Learning
Level Intermediate
Time Hours

Skills

Data Handling and Preparation
Evaluation and Prediction
Model Development and Training
Privacy and Data Protection
Python Programming for AI

Earning Criteria

Mandatory attendance of a minimum of 75% of virtual classroom sessions to ensure a comprehensive learning experience.
Active participation in surveys and virtual classrooms along with maintaining a positive attitude is highly appreciated and plays a pivotal role in enhancing the overall learning experience.
The successful completion of the exams is an essential requirement to earn a certification and validate the competencies acquired in the subject matter.