Module #1 What is Artificial Intelligence? Introduction to the concept of Artificial Intelligence, its history, and applications.
Module #2 Types of Artificial Intelligence Overview of narrow or weak AI, general or strong AI, and superintelligence.
Module #3 Machine Learning Fundamentals Introduction to machine learning, types of machine learning, and key concepts.
Module #4 Supervised Learning In-depth look at supervised learning, including regression and classification.
Module #5 Unsupervised Learning Exploration of unsupervised learning, including clustering and dimensionality reduction.
Module #6 Reinforcement Learning Introduction to reinforcement learning, including Markov decision processes.
Module #7 Deep Learning Fundamentals Overview of deep learning, including neural networks and perceptrons.
Module #8 Convolutional Neural Networks (CNNs) In-depth look at CNNs, including image recognition and object detection.
Module #9 Recurrent Neural Networks (RNNs) Exploration of RNNs, including natural language processing and time series analysis.
Module #10 Natural Language Processing (NLP) Introduction to NLP, including text processing, sentiment analysis, and language models.
Module #11 Robotics and Computer Vision Overview of robotics and computer vision, including object recognition and scene understanding.
Module #12 AI and Ethics Discussion of ethical considerations in AI development and deployment.
Module #13 AI and Society Examination of the impact of AI on society, including job displacement and bias.
Module #14 AI Tools and Frameworks Overview of popular AI tools and frameworks, including TensorFlow, PyTorch, and Keras.
Module #15 AI in Industry Case studies of AI applications in various industries, including healthcare, finance, and marketing.
Module #16 Building Intelligent Systems Guidelines for designing and building intelligent systems, including system architecture and testing.
Module #17 AI and Data Science Interplay between AI and data science, including data preprocessing and feature engineering.
Module #18 AI and the Internet of Things (IoT) Exploration of AI applications in IoT, including smart homes and cities.
Module #19 AI and Cybersecurity Discussion of AI applications in cybersecurity, including threat detection and response.
Module #20 AI and Healthcare Case studies of AI applications in healthcare, including diagnosis and personalized medicine.
Module #21 AI and Education Examination of AI applications in education, including personalized learning and adaptive assessment.
Module #22 AI and Environmental Sustainability Discussion of AI applications in environmental sustainability, including climate modeling and energy efficiency.
Module #23 AI and Transportation Case studies of AI applications in transportation, including autonomous vehicles and traffic management.
Module #24 AI and Robotics Research Overview of current research in AI and robotics, including human-robot interaction and swarm intelligence.
Module #25 Course Wrap-Up & Conclusion Planning next steps in Introduction to Artificial Intelligence career
