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Course Outline
Introduction to Artificial Intelligence (AI), Machine Learning (ML), and Data Science for Government
- Historical Context of AI and Combinatorial Technologies
- Overview of AI, Key Concepts, Narrow and General AI, and Different Types of AI
- AI Capabilities: Sensing, Reasoning, and Acting
- Cognitive Processes in AI: Machine Learning
- Advanced Analytics Versus Artificial Intelligence
- Historical Evolution of AI and Future Prospects
- Four Types of Data Analytics for Government Operations
- The Analytics Value Chain in Public Sector Applications
- Understanding Algorithms Without Technical Jargon
- Supervised Learning: Foundations and Applications
- Unsupervised Learning: Patterns and Clustering
- Reinforcement Learning: Decision-Making Processes
- Data as a Critical Resource for AI in Government
- Structured and Unstructured Data: The 5 V's of Data for Government
- Data Governance Principles for Public Sector
- Building a Robust Data Engineering Platform for Government
- Fundamentals of Data Architecture for Government
- Big Data Reference Architecture in the Public Sector
- Three Categories of Data Usage for Government Operations
AI Opportunity Matrix for Government
Successful Use Cases by Porter's Value Chain
- Primary Activities in Government Services
- Supporting Activities in Government Operations
Successful Use Cases by Technology for Government
- Natural Language Processing (NLP)
- Image Recognition
- Machine Learning Applications in the Public Sector
Ideation of AI Projects for Government
- The AI Funnel Process for Project Development
- Various Idea Generation Approaches for Government
- Prioritizing AI Projects in the Public Sector
- The AI Project Canvas for Government Initiatives
Running AI Projects for Government
- The Machine Learning Life Cycle in Government Applications
- The AI and Machine Learning Canvas for Public Sector Projects
- Deciding When to Develop or Procure AI Solutions for Government
Transforming into an AI-Ready Organization for Government
- Utilizing the AI Strategy Cycle for Public Sector Transformation
- Dimensions of the AI Framework in Government
- Practical Approach to Assess AI Maturity in Government Organizations
- Optimal Organizational Structures for AI Implementation in the Public Sector
- Benefits of Establishing an AI Center of Excellence in Government
- Essential Skills and Competencies for AI Professionals in Government
AI and Ethics for Government
- Identifying Risks Associated with AI in the Public Sector
- Ethical Guidelines for AI Use in Government
- Ensuring Trustworthy AI in Government Operations
35 Hours
Testimonials (4)
The quizzes
Qeeka Chopho - Revenue Services Lesotho
Course - Artificial Intelligence (AI) Strategy for Business and Professionals
The continuation from 1st day to the last. There was a clear synergy of content presented
Mabea Rampeta - Revenue Services Lesotho
Course - Artificial Intelligence (AI) Strategy for Business and Professionals
method of delivery. Not just listening, being hands on and being practical
Makhauhelo Hlaele - Revenue Services Lesotho
Course - Artificial Intelligence (AI) Strategy for Business and Professionals
The practical exercises using the organization as a use case. The style of using the whiteboard also helped in showing the buildup of the ai strategy from the beginning to the end, ensuring that feedback from all the participants is at one place.