Overview
Artificial Intelligence (AI) is reshaping industries, redefining work, and revolutionizing the way we interact with technology. This immersive, hands-on course is designed to introduce participants to the fundamentals of AI, unravel the core technologies behind it, and explore its transformative impact across sectors.
Through a structured blend of theory, live demonstrations, group discussions, and mini-projects, learners will develop a practical understanding of how AI works, how machine learning models are built, and how intelligent systems—from chatbots to neural networks—are already embedded in our daily lives. By the end of the course, participants will not only grasp the “what” and “why” of AI but also the “how”—through interactive sessions and guided projects like building a digit classifier and a basic weather chatbot.
This course is ideal for individuals from both technical and non-technical backgrounds who are curious about AI and its real-world applications.
Course Objectives
By the end of this course, participants will be able to:
- Understand the core principles of AI, including key concepts, history, and types of AI systems.
- Differentiate between machine learning, traditional programming, and various learning paradigms (supervised, unsupervised, reinforcement).
- Explore the architecture of Artificial Neural Networks (ANNs) and apply them in a simple digit classification task.
- Gain exposure to real-world AI tools and applications such as chatbots, NLP, and image recognition systems.
- Build and interact with basic AI-powered applications using hands-on demonstrations and code walkthroughs.
- Understand the AI project lifecycle, from data collection to deployment.
- Reflect on the ethical, societal, and future-facing implications of AI in the workplace and beyond.
Module 1: Welcome & Orientation
- Course goals and learning journey preview
- Why AI matters: its growing impact in business and society
Module 2: What is Artificial Intelligence?
- Definitions and classifications of AI
- Evolution of AI: from rule-based systems to deep learning
- Where AI is used today: healthcare, fintech, retail, and more.
Module 3: Key Foundations of AI
- The role of data: fuel for intelligent systems
- How machine learning differs from traditional coding
- Terminology demystified: algorithm, model, training/testing
Module 4: AI & Machine Learning Types Explained
- Narrow vs. General AI: scope and capability
- Supervised, unsupervised, and reinforcement learning—what they mean and where they’re used
Module 5: Deep Dive into Neural Networks
- What are artificial neurons and how do they work?
- ANN architecture: layers, weights, and activation
- Real-world applications: from face recognition to speech translation
Module 6: Interactive Group Dialogue
- Busting AI myths and misconceptions
- Open discussion: AI in your workplace and life
Module 7: AI Around You
- How AI powers your smartphone, banking, and navigation
- Live demos of consumer-facing AI tools in action
Module 8: Exploring AI Tools
- Overview of AI tools: chatbots, image analysis, voice assistants
- Hands-on: Try out an AI tool—converse with a chatbot or test image recognition
Module 9: Build a Simple AI Model (MNIST Classifier)
- Introduction to the MNIST digit dataset
- Training a neural network to recognize handwritten digits
- Visualizing results and interpreting model accuracy
Module 10: The AI Project Lifecycle
- From idea to implementation: steps in an AI project
- Importance of quality data and clean preprocessing
- Building, evaluating, and deploying AI solutions
Module 11: Intro to NLP & Weather Chatbot Demo
- What is NLP and why it matters
- Getting started with NLTK and spaCy in Python
- Live build: Create a basic weather chatbot
Module 12: Ethics, Bias & Social Impact
- Why bias occurs in AI systems and how to reduce it
- Privacy, data protection, and responsible AI development
- The evolving nature of work in the AI era
Module 13: The Future of AI
- Latest trends in AI research: generative AI, edge AI, AGI
- Imagining future AI applications across sectors
- Building AI literacy and readiness for tomorrow’s world
Programme scope, delivery arrangements and suitability are confirmed during enquiry.