O B J E C T I V E  ///

AI BEGINNER introduce participants to foundational AI concepts, terminology, and basic applications, preparing them for intermediate AI understanding.

^ Our educational framework for this course is presently in development. We will update this page when this product and service is available for purchase. Course Topics and Deliverables are subject to change until finalised.

C O U R S E    T O P I C S  ///

• • What is Artificial Intelligence? Definitions and Examples

  • Historical Overview of AI Development

  • Key Concepts: Machine Learning vs. Deep Learning vs. Data Science

  • Types of Data and Their Role in AI (structured, unstructured)

  • Basic Data Processing and Cleaning

  • Overview of AI Tools and Technologies

  • Ethics in AI: Fairness, Accountability, and Transparency

  • Simple Hands-On Demo (e.g., using a pre-trained model for image recognition)

            COURSE CODE :  PER-BGN-001

  COURSE DELIVERY :  ONLINE ONLY

COURSE DURATION : 1 DAY / 5 HRS

                     AVAILABLE :  TBA

W H A T    Y O U    W I L L    L E A R N  ///

In general, each course’s outcomes are crafted to ensure participants leave with a comprehensive understanding of the material, supported by hands-on experience and knowledge to apply concepts in real-world settings.

D E L I V E R A B L E S  ///

• • What is Artificial Intelligence?

Outcome: Understand basic AI concepts and identify examples of AI in real-world

• • Historical Overview of AI Development

Outcome: Recognize the evolution of AI and its significance in modern technology.

• • Key Concepts: Machine Learning, Deep Learning, Data Science

Outcome: Differentiate between machine learning, deep learning, and data science and their specific roles.

• • Types of Data in AI

Outcome: Identify structured and unstructured data types and understand their relevance in AI applications.

• • Basic Data Processing and Cleaning

Outcome: Gain foundational skills for preparing data, understanding its quality, and removing inconsistencies.

• • Overview of AI Tools and Technologies

Outcome: Familiarise with essential AI tools to recognize available options for AI project implementation.

• • Ethics in AI

Outcome: Appreciate the importance of ethical considerations in AI, including transparency and accountability.

• • Simple Hands-On Demo

Outcome: Use a pre-trained model for a basic task (e.g., image recognition), understanding the workflow of using AI without coding.