What is Artificial Intelligence?
Explore the history and evolution of AI, understand the difference between narrow and general AI, and learn about symbolic versus connectionist approaches.
Build a solid foundation in artificial intelligence concepts, technologies, and applications without requiring a technical background.
Upon completing this module, you will be able to:
Explore the history and evolution of AI, understand the difference between narrow and general AI, and learn about symbolic versus connectionist approaches.
Understand the hardware (GPUs, TPUs), software frameworks, and cloud infrastructure that power modern AI systems.
Learn the difference between training and inference, explore various model types, and understand how APIs enable AI integration.
Survey the major AI application areas including computer vision, natural language processing, and recommendation systems.
Assess your organization's data maturity, infrastructure capabilities, and talent requirements for successful AI adoption.
Test your understanding with 25 questions covering all topics from this module. You need 80% to pass.
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