AIML Deep Bootcamp for Everyone: History, Present Future ™
About this course
History, Present, and FutureProgram Description:Artificial Intelligence (AI) and Machine Learning (ML) are shaping the way we live, work, and innovate. This program provides a strong foundation in AIML for everyone—students, professionals, entrepreneurs, and leaders—by covering its history, present developments, and future potential.Curriculum Overview:Artificial Intelligence (AI) – Understanding the fundamentals of AI, its core principles, and definitions.AI Applications – Real-world applications across industries such as healthcare, finance, manufacturing, and education.Origins of AI (1956) – How AI emerged as an academic discipline and the pioneers who shaped it.Sub-fields of AI – Exploration of specialized areas of AI research with distinct goals and tools.Foundational Assumptions – The idea that human intelligence can be described and replicated by machines.Core AI Functions:Reasoning and problem-solvingKnowledge representationCommonsense knowledge and its breadthSub-symbolic representation of knowledgeAI planning and decision-makingLearning and adaptationNatural Language Processing (NLP)Perception and sensory intelligenceMotion and manipulation (robotics)Social intelligence and human–AI interactionGeneral intelligence and AGI researchAI Approaches:Cybernetics and brain simulationSymbolic AIEarly sub-symbolic AIEmbodied intelligenceSoft computingStatistical methodsLevels of AI:Narrow AI (task-spec
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What you'll learn
- understand the fundamentals of artificial intelligence and machine learning
- recognize real-world applications of AI across different industries
- identify the historical milestones in AI and its pioneers
- explore various sub-fields and approaches within AI
Course objectives
- to provide a foundational understanding of AI and ML
- to highlight real-world applications across multiple sectors
- to discuss the historical context and future potential of AI
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