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Discover our Courses & Training Programs for businesses and individuals and develop your skills

Why follow our training programs?

  • Expertise in innovative fields like bioinformatics and telemedicine.

  • Qualified trainers with professional experience in AI.

  • Customized content tailored to your needs and industry.

Our Teaching Methodology

  • In-person and/or online training: Interactive workshops, practical exercises, and case studies.

  • Teaching materials: Slides, videos, digital tools.

  • Certifications: Training certificate issued at the end of the program.

We offer artificial intelligence (AI) training programs, tailored to the different needs and levels of our clients (individuals, SMEs, large companies, healthcare institutions).

1 - Introduction to Artificial Intelligence

Objective: Provide a general understanding of AI, its principles, applications, and impact in various sectors.

Content:

  • Definition and history of AI.
  • Key concepts: supervised, unsupervised, and reinforcement learning.
  • Practical applications: speech recognition, computer vision, chatbots, etc.
  • Sector-specific examples: healthcare, finance, marketing, industry.
  • Duration: 1 day (seminar or workshop).
  • Target audience: Executives, HR managers, non-technical staff.
2 - Practical Training: Introduction to Machine Learning (ML)

Objective: Introduce the basics of machine learning and allow participants to develop their first models.

Content:

  • Understanding ML algorithms (regression, classification, clustering).
  • Introduction to tools: Python, Scikit-learn, TensorFlow.
  • Building a simple project: sales prediction or customer data analysis.
  • Visualization and interpretation of results.
  • Duration: 2 to 3 days.
  • Target audience: Developers, data analysts, IT technicians.
3 - Advanced Training: Developing AI Solutions for Business

Objective: Train participants to integrate AI into business processes to solve specific problems.

Content:

  • Identifying AI use cases in businesses.
  • Development of specific AI applications:
    • Chatbots for customer service.
    • Predictive analytics for decision-making.
    • Automation of repetitive tasks.
  • Implementation of data pipelines for model training.
  • Deployment of AI solutions in a cloud environment (AWS, Azure, GCP).
  • Duration: 5 days.
  • Target audience: Technical teams, IT project managers, innovation managers.
4 - Sector-Specific AI Training

Objective: Train participants to use AI in specific fields.

Content by sector:

  • Healthcare:
    • Introduction to bioinformatics and medical AI.
    • AI-assisted diagnosis (medical image analysis).
    • Patient data analysis (Big Data and AI).
  • Finance and Insurance:
    • Scoring models for risk management.
    • Fraud detection using machine learning.
    • Investment optimization with predictive models.
  • Retail and Marketing:
    • Personalization of campaigns using data analysis.
    • Product recommendation systems.
    • Sentiment analysis via AI for customer reviews.
  • Duration: 2 to 4 days depending on the sector.
  • Target audience: Professionals from the respective sectors.
5 - Data Science and AI Training

Objective: Train participants to manipulate data and extract insights using AI.

Content:

  • Data exploration and preparation.
  • Modeling with advanced techniques (deep learning).
  • Result visualization with Power BI or Tableau.
  • Case study: analyzing large company databases.
  • Duration: 4 to 5 days.
  • Target audience: Data analysts, entry-level data scientists.
6 - Security and Ethics in AI

Objective: Raise awareness about the challenges of AI in security, ethics, and data protection.

Content:

  • Risks related to AI usage (algorithmic bias, system security).
  • Standards and regulations (GDPR, personal data protection).
  • Implementation of ethical practices in AI application development.
  • Practical cases: analyzing ethical scenarios related to AI.
  • Duration: 1 to 2 days.
  • Target audience: IT managers, legal experts, business leaders.
7 - Practical Workshop: Creating Chatbots and Service Automation

Objective: Enable participants to design and deploy an intelligent chatbot.

Content:

  • Introduction to chatbot frameworks (Dialogflow, Microsoft Bot Framework).
  • Creating a chatbot for customer service or internal management.
  • Using NLP (Natural Language Processing) to understand users.
  • Integration into platforms like WhatsApp, Messenger, or a website.
  • Duration: 3 days.
  • Target audience: Marketing teams, developers.
8. Deep Learning and Computer Vision Training

Objective: Train participants to develop deep learning-based solutions for image and video analysis.

Content:

  • Introduction to convolutional neural networks (CNNs).
  • Using frameworks like TensorFlow or PyTorch.
  • Case study: facial recognition, object detection.
  • Model optimization and deployment.
  • Duration: 4 days.
  • Target audience: Experienced developers, researchers, AI engineers.