Intro to Artificial General Intelligence (AGI): Future of AI
Explore key concepts, research frontiers, ethical challenges & future impact of AGI. For tech and non-tech learners.
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1,430
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2 hours
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Jan 2025
last update
$49.99
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What you will learn
Understand the key components that make up an AGI system, such as knowledge representation, reasoning, learning, and goal-setting.
Differentiate between narrow AI, artificial general intelligence (AGI), and artificial superintelligence (ASI), and identify examples of each.
Analyze the major technical and ethical challenges involved in developing safe and beneficial AGI, such as value alignment, robustness, transparency, and contro
Compare and contrast the main approaches being pursued to create AGI, including symbolic, connectionist, and hybrid methods.
Identify the key enabling technologies accelerating AGI development, such as deep learning, reinforcement learning, meta-learning, and knowledge graphs.
Assess the progress and contributions of major companies and institutions working on AGI, such as DeepMind, OpenAI, Google, MIT, and others.
Examine recent breakthroughs and milestones in AGI research, like language models, multi-modal learning, and open-ended problem solving.
Understand core principles of responsible AI development and identify key ethical issues raised by advanced AI systems.
Recognize the vital role of AI governance frameworks and regulations for ensuring AGI is developed safely and equitably.
Realistically evaluate expert forecasts and timelines for when we may achieve human-level AGI.
Identify high-value skills and career paths that will be in demand in an AGI-transformed world.
Anticipate and prepare for the profound economic, social and geopolitical impacts and risks of artificial general intelligence.
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udemy ID
6/14/2024
course created date
7/15/2024
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