Intelligent Applications Advanced Training Course

Advanced Neural Networks

• Deep learning architectures
• Convolutional and recurrent neural networks
• Generative models and unsupervised learning

Machine Learning at Scale

• Big data analytics for government applications
• Distributed computing frameworks to support machine learning
• Advanced optimization techniques for efficient model training

Reinforcement Learning and Decision Making

• Markov decision processes in complex environments
• Policy gradient methods for optimizing decision-making
• Multi-agent systems and game theory for strategic interactions

Natural Language Processing and Understanding

• Advanced natural language processing techniques for government use
• Sentiment analysis and text classification in public sector contexts
• Language models and transformers for improved communication and data analysis

Computer Vision and Perception

• Image recognition and object detection for security and monitoring
• Video analysis and action recognition for situational awareness
• 3D reconstruction and augmented reality for enhanced visualization and training

AI Ethics and Society

• Bias and fairness in AI systems to ensure equitable outcomes
• AI governance and policy development for responsible deployment
• Future societal impacts of AI on public sector operations and services

Lab Project

• Implementing advanced machine learning models for government projects
• Analyzing large datasets to inform policy and operational decisions
• Collaborating on a group research project to address specific public sector challenges

Summary and Next Steps