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Course Outline
Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Data Science
- AI in a historical setting and combinatorial technologies
- Introduction to AI, concepts, narrow and general AI, different types of AI
- AI - sense, reason, act
- The thinking in AI: Machine learning
- Advanced Analytics vs Artificial Intelligence
- Looking back, now, forward
- 4 types of data analytics
- Analytics value chain
- Algorithms without technical jargon
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Data as fuel for AI
- Structured and unstructured data, the 5 V's of data
- Data governance
- The data engineering platform
- Just enough to understand the data architecture
- Big data reference architecture
- 3 categories of data usage
AI opportunity matrix
Successful use cases by Porter's value chain
- Primary activities
- Supporting activities
Successful use cases by technology
- NLP
- Image recognition
- Machine learning
Ideation of AI projects
- AI Funnel process
- Several idea generation approaches
- Prioritize projects
- AI project canvas
Running AI projects
- Machine learning life cycle
- AI machine learning canvas
- When to build and when to buy AI solutions
How to transform to an AI-ready organisation
- Use the AI strategy cycle
- Dimensions of the AI framework
- Practical approach to assess the AI maturity of the organisation
- Best organisational structures
- Benefits of an AI Center of Excellence
- Skills and competencies
AI and ethics
- Risks of AI
- Ethical guidelines
- Realizing trustworthy AI
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.
