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Course Outline
Introduction to AI for Government
- History of Artificial Intelligence (AI)
- Definitions and Terminology
- AI in Comparison to Human Intelligence
- Future Trends and Potential Impacts
Machine Learning Basics for Government
- Types of Machine Learning: Supervised, Unsupervised, and Reinforcement
- Key Machine Learning Algorithms
- Machine Learning Workflow: From Data Collection to Model Evaluation
Data Management for Government
- Data Collection Techniques
- Data Cleaning and Preprocessing
- Data Analysis and Visualization
AI in Practice for Government
- Case Studies of AI Applications in the Public Sector
- Industry-Specific AI Solutions for Government Operations
- AI in Consumer Products with Relevance to Government Services
Ethical Considerations for Government
- AI and Job Displacement in the Public Sector
- Bias and Fairness in AI Systems Used by Government Agencies
- Privacy and Security Issues in Government Data
- Future of AI Ethics in Government
Lab Project for Government
- Python Programming Assignments for Government Analysts
- Data Analysis Projects Using Real-World Datasets Relevant to Government Operations
- Development of a Simple Machine Learning Model for Government Use
Summary and Next Steps for Government
Requirements
- An understanding of fundamental programming concepts
- Experience with Python programming
- Familiarity with basic statistical and mathematical principles
Audience for government
- IT Professionals
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.
