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Course Outline
Introduction to AI Engineering for Government
- What is AI engineering?
- The evolution of AI and its impact on engineering for government
- Key concepts and terminology in AI for government
Core AI Technologies for Government
- Understanding machine learning for government applications
- Deep learning and neural networks for government use
- Natural language processing (NLP) in governmental contexts
AI Problem Solving for Government
- Identifying problems suitable for AI solutions within the public sector
- Data collection and preprocessing for government initiatives
- Model selection and training for governmental projects
AI in Software Development for Government
- AI tools for developers in the public sector
- Integrating AI into existing government systems
- Version control and model management for government projects
AI and Data Engineering for Government
- Big data technologies and their role in AI for government operations
- Data pipelines and ETL processes for governmental use
- Data storage and management for AI in the public sector
Ethical AI for Government
- Understanding bias and fairness in AI systems for government
- Privacy and security in AI engineering for governmental applications
- Ethical considerations and best practices for government AI projects
AI Project Management for Government
- Agile methodologies for AI projects in the public sector
- Team roles and responsibilities in governmental AI initiatives
- Documentation and reporting for government AI projects
Hands-On AI Engineering for Government
- Setting up your AI development environment for government use
- Building and evaluating simple AI models for governmental tasks
- Collaborative AI engineering projects in the public sector
The Future of AI Engineering for Government
- Emerging trends in AI for government applications
- Continuous learning and skill development for government AI professionals
- Career opportunities in AI engineering within the public sector
Summary and Next Steps for Government
Requirements
- An understanding of fundamental programming concepts for government applications.
- Experience with Python programming, particularly in a public sector context.
- Familiarity with basic statistics and linear algebra to support data-driven decision-making processes.
Audience
- AI engineers working for government agencies.
- Software developers supporting public sector projects.
- Data analysts engaged in governmental data analysis and reporting.
14 Hours
Testimonials (1)
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.
