skill-UP FULL TRAINING PROGRAMME

Artificial intelligence and machine learning for aviation applications

Lesson n. 1: Questionnaires Entry
Lesson n. 2: AN INTRODUCTION TO AI AND ML What is AI and ML? A brief history of AI and ML Enablers of AI and ML Capabilities of AI and ML Applications of AI and ML		Jason Gauci
Lesson n. 3: ML TECHNIQUES AND ALGORITHMS - PART 1 The ML model lifecycle Supervised learning Unsupervised learning Reinforcement learning Hybrid ML		Jason Gauci
Lesson n. 4: ML TECHNIQUES AND ALGORITHMS - PART 2 Simple linear regression Artificial Neural Networks k-means clustering Q-learning Implementation challenges		Jason Gauci
Lesson n. 5: CURRENT AND EMERGING APPLICATION OF ML IN AVIATION ML for aircraft design and manufacturing ML for aircraft operations and maintenance ML for ATM and ATC ML for airport operations ML for drones and U-space		Jason Gauci
Lesson n. 6: TOWARDS TRUSTWORTHY AI Explainability Safety & certification Cybersecurity Bias Privacy & data governance Promotion of trustworthy AI		Jason Gauci
Lesson n. 7: Final test