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Introduction to AI
What is AI? History and evolutionTypes of AI: Narrow, General, Super AIAI vs. Machine Learning vs. Deep LearningReal-world AI applications in business, healthcare, and daily life
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Build practical AI models and learn industry-leading tools.
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This course offers a beginner-friendly introduction to Artificial Intelligence (AI). You’ll explore what AI is, how it has evolved, and its future potential. The curriculum covers foundational concepts and real-world applications, including machine learning, deep learning, natural language processing (NLP), computer vision, and the tools that power modern AI.
Through hands-on activities, you’ll learn how machines can be programmed to perform tasks involving reasoning, learning, perception, and decision-making. Whether you’re an aspiring technologist, business leader, or simply curious about AI, this course provides the essential knowledge to understand, use, and discuss AI confidently.
By the end of the course, you’ll be able to build simple AI models and understand both the opportunities and ethical challenges that lie ahead.
What is AI? History and evolutionTypes of AI: Narrow, General, Super AIAI vs. Machine Learning vs. Deep LearningReal-world AI applications in business, healthcare, and daily life
Types of machine learning: Supervised, Unsupervised, ReinforcementKey concepts: features, labels, training, testingCommon algorithms: Linear Regression, Decision Trees, K-NNHands-on: Implement a simple ML model in Python
Introduction to neural networksActivation functions, forward and backpropagationOverview of CNNs (image processing) and RNNs (sequential data)
Introduction to AI libraries: TensorFlow, PyTorch, Scikit-learnAI in the cloud: Google AI, AWS AI, Azure AIOpenAI and GPT models
Introduction to NLP and its applicationsTokenization, stemming, lemmatizationSentiment analysis and chatbots
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