Artificial Intelligence (AI) and Machine Learning (ML)

Course Introduction

This course provides a comprehensive introduction to Artificial Intelligence (AI) and Machine Learning (ML), focusing on core concepts, algorithms, and real-world applications. It explores how intelligent systems are designed to learn from data, make decisions, and automate processes.

Participants will gain practical insights into AI-driven technologies that are transforming industries such as healthcare, finance, marketing, and technology.

After Study Job Opportunities

• AI Engineer
• Machine Learning Engineer
• Data Scientist
• Business Intelligence Analyst
• AI Consultant
• Data Analyst
• Automation Specialist

List of Required Documents

• Resume
• Passport or ID Photo

Admission Tests

• Study of the school file
• Tests: general knowledge, English, logic and practical case study
• Individual motivational interview

Professional Training

The program includes hands-on and practical learning through:

• Machine learning model development
• AI case studies and applications
• Data analysis and visualization exercises
• Real-world problem-solving projects
• Introduction to AI tools and platforms

This approach ensures learners develop both theoretical understanding and practical AI/ML skills.

Objectives and Context of Certification

• Understand core concepts of Artificial Intelligence and Machine Learning
• Learn how to build and evaluate ML models
• Explore data-driven decision-making techniques
• Understand AI applications across industries
• Prepare for careers in AI, data science, and analytics

This course is ideal for students, professionals, and technology enthusiasts aiming to enter the field of AI and ML.

Graduate Responsibilities

After completing the training, participants will be able to:

• Analyze data and build predictive models
• Apply machine learning techniques to real-world problems
• Understand AI-driven business solutions
• Support AI implementation in organizations
• Communicate technical insights effectively

Post-Study Job Opportunities

Graduates can work in technology companies, startups, consulting firms, and data-driven organizations. They can take roles in AI development, data analytics, automation, and digital transformation projects.

Evaluation Methodology

• Quizzes (20%) – AI/ML concept understanding
• Assignments (30%) – Data analysis and ML exercises
• Final Project (30%) – AI/ML project or case study
• Participation (10%)
• Final Assessment (10%)

Course Summary

• Duration: 2 weeks
• Format: Online / In-person / Hybrid
• Focus: AI, Machine Learning, Data Analysis, Automation
• Assessment: Projects, assignments, and final evaluation
• Outcome: Foundational expertise in AI and ML

This course equips learners with essential skills required to work with intelligent systems and data-driven technologies.

Starting intake: On demand

Tuition Fees:

• €3,000 per participant
• Inhouse corporate training: 30,000 € per cohort (10-15 participants)