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Course Outline
Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Data Science for Government
- Historical context of AI and its integration with combinatorial technologies
- Overview of AI, including concepts, narrow, and general AI
- The AI process: sense, reason, act
- Cognitive processes in AI: machine learning
- Advanced analytics compared to artificial intelligence
- Past, present, and future perspectives on AI
- Four types of data analytics
- The value chain in analytics
- Algorithms explained without technical jargon
- Supervised learning methods
- Unsupervised learning techniques
- Reinforcement learning strategies
- Data as a critical resource for AI
- Structured and unstructured data, including the 5 V's of data
- Principles of data governance
- The data engineering platform in government contexts
- Essential concepts for understanding data architecture
- Big data reference architecture for government
- Three categories of data usage in public sector applications
AI Opportunity Matrix
Successful Use Cases by Porter's Value Chain
- Primary activities enhanced by AI
- Supporting activities optimized through AI
Successful Use Cases by Technology
- Natural Language Processing (NLP)
- Image recognition technologies
- Machine learning applications
Ideation of AI Projects for Government
- The AI Funnel process for project ideation
- Various approaches to idea generation
- Prioritizing AI projects based on impact and feasibility
- The AI project canvas for structured planning
Running AI Projects for Government
- The machine learning life cycle in government projects
- The AI machine learning canvas for project management
- Decision-making framework: when to develop and when to procure AI solutions
Transforming into an AI-Ready Organization for Government
- Utilizing the AI strategy cycle for organizational transformation
- Dimensions of the AI framework for government operations
- Practical approaches to assess AI maturity in public sector organizations
- Optimal organizational structures for AI integration
- Benefits of establishing an AI Center of Excellence for government
- Required skills and competencies for AI professionals in government
AI and Ethics for Government
- Risks associated with AI in public sector applications
- Ethical guidelines for responsible AI use
- Strategies for achieving trustworthy AI in government
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.