Decoding Intelligence: Understanding AI, AGI Models, Auto-GPT Outputs, and Vector Database Insights
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Explain key AI concepts and terminology without needing a technical background
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Identify business opportunities where AI can deliver measurable value
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Understand the capabilities and limitations of current AI technologies
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Evaluate the risks, ethics, and compliance factors associated with AI adoption
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Engage confidently in AI-related discussions and planning within their organisation
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Support and lead early-stage AI projects using appropriate frameworks and tools.
Overview
Off the shelf (OTS)
This course is designed for business leaders, project managers, analysts, and professionals with non-technical backgrounds who need to understand the core principles of artificial intelligence and its practical applications. It is ideal for decision-makers seeking to assess, plan, or oversee AI-related initiatives within their organisations.
No prior technical knowledge is required. A general familiarity with digital technologies or business operations is helpful but not essential.
The Decoding AI Training Course provides a comprehensive and accessible introduction to the fundamentals of artificial intelligence, tailored for non-technical professionals. Participants will learn the key concepts underpinning AI, including machine learning, natural language processing, and neural networks, as well as the real-world use cases transforming industries. The course also explores the ethical, legal, and societal implications of AI adoption and provides guidance on evaluating AI readiness and implementation strategies within an organisation.
Key Topics Covered:
• Understanding the building blocks of AI: data, algorithms, and learning models
• Exploring machine learning, deep learning, and generative AI in plain terms
• Real-world AI applications across sectors such as healthcare, finance, and retail
• Ethical and legal considerations in deploying AI systems
• Assessing organisational AI readiness and managing risk
• Frameworks for identifying opportunities and leading AI projects
The course is delivered over three days and combines instructor-led presentations with interactive discussions and practical examples.
Delivery method
Virtual
Course duration
21 hours
Competency level
Foundation

Delivery method
-
Virtual
Course duration
21 hours
Competency level
-
Foundation
