Gain tailored and specialized knowledge in a cutting-edge technology. Explore data to uncover key insights and make important and accurate predictions. This certificate is also suitable for those planning to pursue an advanced degree in AI. Our instructors offer individualized support to students throughout the program.

The pedagogy is based on Learning by Doing, centered around practice: many coding exercises and guided mini-projects to complete on your computer during the courses. With this training, you will be able to work in various fields such as finance, medicine, transportation, logistics, and specialized areas of artificial intelligence.

Give your career in Data Science a boost with these valuable knowledge and skills:

• Explore the fields of artificial intelligence and machine learning
• Analyze data and make important predictions
• Apply statistical methods and the latest programming techniques
• Understand the business challenges behind the data
• Understand the fundamentals of data science and its applications
• Acquire solid and operational foundations in data science
• Program in Python, deploy machine learning models
• Develop a competitive and strong profile in the job market.

The content of our courses has been developed around the scientific and practical knowledge of data science professionals, with several years of experience in the field of data. The training is based on numerous application exercises and mini-projects directly on your computer, so you can implement the concepts developed in the courses.

The Data Science certificate program is based on the following topics:

• Python Programming and Libraries for Data Science
  • Advanced Python and IDE handling
  • Manipulation of structured and unstructured databases (SQL and NoSQL)
  • Data analysis and visualization
  • Identifying the variables of a given problem
  • Creating optimized reports by choosing the right graphs and filters
• Designing AI Models for Prediction
  • Mathematical tools for computing
  • Machine learning tools and software
  • Supervised and unsupervised machine learning
  • Deep learning
  • NLP and Generative AI (GenAI)
• Data Collection and Processing
  • Collecting relevant data for a problem
  • Data engineering and cloud storage
  • Creating data pipelines
  • Manipulating and analyzing data to obtain relevant KPIs
• Defining and Managing a Data Science Project
  • Data science culture
  • Steps in a data science project
  • Analyzing and communicating results
  • Defining the risks associated with the project
• Deploying AI Models
  • Virtualizing and containerizing models
  • Creating APIs
  • DevOps and MLOps
  • Deploying AI models to production
  • Data and AI model security
  • Best practices for development and continuous deployment (CI/CD)
• Realizing an AI Project on a Practical Use Case
  • Understanding the needs to carry out a project effectively
  • Understanding the workflow of an AI project 
  • Using DevOps and Agile methods to execute a project efficiently

Boost your career in Data Science with these highly valued skills:

• Understand the business challenges behind the data
• Develop predictive models, analyze trends, and make decisions
• Analyze data to extract insights autonomously
• Create predictive models and provide guidelines for decision-making
• Visualize and analyze results to communicate them effectively
• Knowledge of software, programming languages, and visualization tools
• Ability to use advanced techniques to extract relevant information from large datasets
• Understanding the basic principles of data management and database optimization
• Ability to identify business problems and use data to propose solutions
• Ability to translate complex scenarios into visualizations and reports that are understandable for decision-makers
• Ability to work collaboratively with other teams and departments
• Commitment to continuous learning and improvement in AI and data science.

The selection is done by the review of the submitted  application package, and if necessary, a video conference or in-person interview. The complete admission process is as follows:

• Submission of the application package
• Interview with the admission committee
• Payment of registration fees

Required degree: No degree is required, although it is preferable to have at least a high school level education to follow this program. However, a background in mathematics and an interest in computer science, and technology (STEM) are encouraged. We welcome students from all backgrounds with a strong interest and willingness to learn.

Required documents: Please fill out the online admission form. You will need the following documents:

• Identity document (ID card, passport, or driver’s license)
• Certificate or diploma of the last level of education
• Transcripts of the highest level of education
• Two (2) color passport-sized photos

After submitting your application, if your profile catches our attention, you will be contacted for an interview (via video conference or in person) with the admission committee. During the interview, you will have the opportunity to present your experiences and motivation to join the program.

Subsequently, you will receive a response regarding your admission request. If you are accepted into the LIAT program, you will need to pay the registration fees as specified in your admission letter.

The application processing fee is 15 000 FCFA.

Once admitted, the membership fee for the LIAT Student Association (AEL) is 5000 FCFA.