The AI Awareness course is an engaging and structured program designed to provide participants with a foundational understanding of Artificial Intelligence (AI), its applications, and its impact on society and business. Delivered online or through an interactive instructor-led training, the course is divided into five comprehensive modules, each exploring critical aspects of AI in an accessible and engaging way.

Module 1: Understanding Artificial Intelligence

This module provides a clear introduction to AI, its core concepts, and real-world significance. Participants will explore: 

• What AI is and why it matters today
• Key business applications and benefits
• The evolution of AI through key milestones and breakthroughs
• Differences between Narrow AI, General AI, and Superintelligence
• An overview of major AI technologies, industry leaders, and regulatory bodies

Module 2: Core AI Technologies

This module explores the key technologies behind AI and how they are applied across industries. Participants will learn:

• Core AI concepts like algorithms, models, and the role of data
• Key Machine Learning types: supervised, unsupervised, and reinforcement learning
• ML model types including classification, regression, clustering, and anomaly detection
• Deep learning fundamentals and applications in image recognition and NLP
• Basics of NLP and computer vision, including key tasks and techniques
• Real-world use cases across sectors
• Ethical issues such as bias and responsible AI practices

Module 3: Generative AI and Large Language Models

This module explores Generative AI and Large Language Models (LLMs), explaining how they work and their impact across industries. Participants will learn:

• What generative models are and how LLMs function
• Key milestones in LLM development
• How Generative AI generates content using neural networks
• Real-world applications in text generation and creative industries
• Popular LLMs and their core features
• Techniques like transformer architecture and training methods
• Emerging trends and future developments in Generative AI

Module 4: Multimodal AI

This module introduces Multimodal AI, which combines different data types like text, images, and video for improved understanding and interaction. Participants will learn:

• What Multimodal AI is and why integrating data types matters
• How various inputs are processed and combined in AI systems
• Key models for handling text and image data
• Real-world applications such as image captioning, video analysis, and multimodal search engines

Module 5: Artificial Intelligence in the Organisation

This module explores how AI impacts organizations, covering both benefits and risks. Participants will learn how to assess AI from a business perspective and build a case for its adoption. The module covers:

• Key AI benefits like better decision-making, increased efficiency, and improved customer experiences
• Risks and challenges in AI adoption, including implementation complexity and unintended effects
• Factors for creating a business case for AI, including identifying value and understanding ROI basics

The AI Awareness course is designed for individuals and professionals who want to build a foundational understanding of Artificial Intelligence, its applications, and its implications. This course is ideal for:

• Business Professionals: Managers, executives, and decision-makers seeking to understand how AI can transform their industries, improve operational efficiency, and create new business opportunities.
• Non-Technical Teams: Marketing, HR, sales, and operations personnel who need a high-level understanding of AI to collaborate effectively in AI-enabled projects and workflows.
• Students and Educators: Individuals from non-technical backgrounds interested in exploring AI concepts and their impact on education, research, and career development.
• Government and Public Sector Employees: Policymakers, administrators, and leaders aiming to leverage AI to improve public services, urban planning, and citizen engagement.
• General Enthusiasts: Anyone curious about AI, its capabilities, and its ethical implications, regardless of their technical expertise or professional background.

This course requires no prior knowledge of AI, programming, or data science, making it accessible to anyone eager to learn how AI is shaping the modern world.

The AI Awareness course concludes with an official APMG Examination, designed to validate the participant’s understanding of core AI concepts and principles. This structured assessment ensures that learners have grasped the foundational knowledge required to engage with AI confidently. Below are the key details about the examination:

• Material Allowed: This is a closed book exam. Study materials, including the course guide, are not permitted during the examination.
• Exam Duration: The exam is 45 minutes long. Candidates taking the exam in a language other than their native or working language receive an extra 25% of time, extending the duration to 60 minutes.
• Marks and Scoring: The exam consists of 30 multiple-choice questions, each worth 1 mark. There is no negative marking, and unanswered questions will receive no marks. To pass, participants must score 20 marks (65%) or more. An elevated pass mark of 23 marks (75%) is required for individuals aspiring to become trainers.
• Complexity: The exam includes questions at Bloom’s Levels 1 and 2. Level 1 (Recall): Tests the ability to recall key information from the course. Level 2 (Understanding): Assesses the participant’s understanding of fundamental AI concepts.

This examination is designed to confirm that participants have achieved a solid foundation in Artificial Intelligence, enabling them to apply their knowledge effectively and confidently in real-world scenarios.