Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Overview of Artificial Intelligence
- Historical development of AI
- Standardized definitions and terminology
- Distinctions between artificial and human intelligence
- Emerging trends and prospective applications for government
Fundamentals of Machine Learning
- Mechanisms: supervised, unsupervised, and reinforcement learning
- Core machine learning algorithms
- Machine learning lifecycle: from data acquisition to model validation
Data Governance and Management
- Strategies for data collection
- Data cleansing and preprocessing protocols
- Analytical techniques and visualization methods
Operational Implementation of AI
- Analysis of applied AI case studies
- Sector-specific solutions for public agencies
- Integration of AI in consumer-facing technologies
Ethical and Compliance Considerations
- Impact on workforce dynamics and employment
- Mitigation of bias and assurance of fairness
- Data privacy and security requirements for government operations
- Evolution of ethical standards in artificial intelligence
Practical Laboratory Exercises
- Python coding assignments
- Analytical projects utilizing real-world datasets
- Construction of a foundational machine learning model
Course Summary and Future Directions
Requirements
- Comprehension of fundamental software development principles
- Practical proficiency in Python scripting and application development
- Knowledge of statistical methodologies and quantitative analysis techniques
Target Audience
- Information Technology specialists serving the federal workforce for government operations
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.
