AI: Advanced Level
Are you curious about Artificial Intelligence (AI) and how it shapes the world? This course will introduce you to AI’s history, how it makes predictions, understands language and images, and learns using neural networks inspired by the human brain. You’ll also gain hands-on experience by building and testing a machine learning model. By the end, you’ll explore career opportunities in AI and discover how to take your first steps toward an AI-related profession.
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1 Lesson
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Advanced
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0 minutes
- Category AI
Are you curious about Artificial Intelligence (AI) and how it shapes the world? This course will introduce you to AI’s history, how it makes predictions, understands language and images, and learns using neural networks inspired by the human brain. You’ll also gain hands-on experience by building and testing a machine learning model. By the end, you’ll explore career opportunities in AI and discover how to take your first steps toward an AI-related profession.
Describe the history of AI development.
Define structured, unstructured, and semi-structured data.
Explain machine learning and how AI makes predictions from data.
Understand how AI processes and generates human language.
Explain how AI analyzes and creates images.
Describe three methods AI uses to analyze data.
Understand how neural networks help AI make predictions.
Build and test an AI machine learning model using IBM Watson Studio.
Identify ways AI systems can be designed to minimize bias.
Recognize AI career opportunities, required skills, and resources for further learning.
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Section 3: Artificial Intelligence Fundamentals0 Section 0 minutesDoes artificial intelligence (AI) spark your interest? Here’s your chance to visualize yourself in an AI career! You’ll explore AI’s history, then see how it can change the world. Along the way, you’ll deep dive into ways that AI makes predictions, understands language and images, and learns using circuits inspired by the human brain. After a hands-on simulation in which you build and test a machine learning model, you’ll finish with tips on how to find your own career in artificial intelligence. Describe the history of AI development Define and describe structured, unstructured and semi-structured data, machine learning, and ways that AI makes predictions from data Explain how AI understands human language Explain how AI analyzes and creates images Describe three ways that AI analyzes data Describe how AI makes predictions using neural networks Create an AI machine learning model using IBM Watson Studio Describe ways that AI systems can be designed to minimize bias Recognize the AI job market, responsibilities and skill sets of an AI professional, and resources and learning opportunities to explore
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