Artificial Intelligence is transforming industries, revolutionizing business operations, and redefining decision-making. To stay ahead in an AI-driven world, professionals must understand its advanced applications. This course takes you beyond the basics, exploring the cutting-edge infrastructure, autonomous systems, robotics, and business strategies that define the future of AI.
Advanced Topics in Artificial Intelligence
Advanced Topics in Artificial Intelligence
Instructor: Robert J. Brunner
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
22 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
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Assessments
25 assignments
Taught in English
Recently updated!
February 2025
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There are 4 modules in this course
This module explores the essential components that enable artificial intelligence systems to function effectively. It examines the role of hardware, including CPUs, GPUs, and specialized chips like TPUs and ASICs, in providing the computational power for AI. The trade-offs between edge computing, on-premises solutions, and cloud platforms are highlighted, focusing on scalability, cost, and energy efficiency. The module also covers the importance of software frameworks, comparing open-source tools like TensorFlow and PyTorch with proprietary platforms for their flexibility and ease of use.
What's included
18 videos6 readings7 assignments1 discussion prompt1 plugin
This module explores the transformative potential of AI-driven autonomous systems across various industries, including transportation, aviation, maritime, and rail.
What's included
15 videos2 readings6 assignments
This module explores the intersection of artificial intelligence and robotics, highlighting how AI enhances the capabilities of robots across various industries and environments.
What's included
15 videos2 readings6 assignments
This module explores how artificial intelligence is transforming key areas of business operations, including finance, marketing, supply chain management, human resources, and manufacturing. The module highlights AI's role in streamlining processes, enhancing decision-making, and improving efficiency across diverse industries. Learners are introduced to tools and technologies such as predictive analytics, machine learning algorithms, and automation systems that enable businesses to forecast demand, optimize logistics, and personalize customer experiences.
What's included
17 videos4 readings6 assignments1 peer review1 plugin
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