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Description
This Python and Automatic Learning training program is designed to provide participants with the essential skills and knowledge necessary to use Python programming language in the context of machine learning applications. The programme covers a range of topics, starting from the fundamentals of Python to the more advanced concepts in machine learning and data science. It is designed to provide participants with a strong foundation in Python and machine learning, enabling them to pursue careers in data science, artificial intelligence and related fields.
Educational objectives
During this training, you will be able to:
- Gain a thorough understanding of Python syntax, data types, and control structures.
- Be able to develop effective Python programs using appropriate functions, modules, and data structures.
- Explore advanced concepts such as list understandings, lambda functions, and object-oriented programming (POO) in Python.
- Master advanced exception management and debugging techniques.
- Understand the basic mathematical concepts necessary for machine learning, including linear algebra and calculation.
- Apply descriptive statistical methods and understand the principles of probability.
- Understanding the basic concepts of machine learning.
- Identify and differentiate the different types of machine learning algorithms (supervised, unsupervised, reinforced learning).
- Build and form neural networks for deep learning applications.
- Acquire a thorough understanding of the model training and adjustment process.
- Apply machine learning techniques to real data sets.
- Work on practical projects to enhance understanding and application of acquired skills.
- Stay informed of the latest developments and trends in machine learning.
- Explore advanced topics such as natural language processing, computer vision, and reinforcement learning.
Prerequisites
A basic knowledge of programming is recommended, but the program is structured to accommodate beginners willing to learn.
Training arrangements
- Courses provided by instructors experienced in the field.
- Practical work and concrete projects for practical application of concepts through coding exercises and projects.
- Online resources: Access to online media, tutorials and resources for self-learning.
- Quiz and Evaluations: Regular assessments to measure understanding and progress.
- Community Support: Opportunities for collaboration and discussion with peers and instructors.
Certification
The success of the programme leads to certification attesting to the mastery of Python programming and machine learning concepts.
Conditions for access to training
- Having a personal computer
- Access Internet connection
- Own Linux operating system
- Be available for online sessions of 2 hours, 2 or 3 times per week
- Understanding the French language (a mastery of English would be an asset)
- Having a passion for computer science / Commitment to learning / determination / motivation
Duration + Training costs
- The duration of training is three months.
- Registration fee: CFAF 5000
- Training costs CFAF 50,000 per month
Training programme
