Artificial Intelligence and Machine Learning

• Review the fundamental concepts of AI and ML
• Explore the main AI and ML algorithms and models
• Learn about and explore popular tools and platforms for developing AI and ML
• Understand how AI and ML models are trained
• Explore and analyse practical applications of AI and ML across different sectors
• Identify the ethical and social implications of AI and ML

Part I: Foundations of Artificial Intelligence and Machine Learning
– Module 1: Introduction to Artificial Intelligence
– Module 2: Fundamentals of Machine Learning

Part II: AI and ML Algorithms and Models
– Module 3: Supervised Learning Algorithms
– Module 4: Unsupervised and Reinforcement Learning Algorithms
– Module 5: Deep Learning Models

Part III: Tools and Technologies
Module 6: Platforms and Languages for AI and ML
Module 7: Model Training and Evaluation

Part IV: Practical Applications and Ethics
– Module 8: Use Cases Across Different Sectors

This course provides a detailed overview of the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML), exploring algorithms and models, tools and technologies, applications within an organisational context, and ethical considerations. Participants will thus develop practical skills to implement and train AI and ML models within an organisational context.

At the end of each module, in order to assess your progress, you will take a test with a mandatory knowledge check, which will account for 50% of the final grade.

At the end of the course, you will take a Final Assessment Test, which will account for 50% of the final grade.