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Overview
With the exponential reduction of computing costs
and storage costs and pervasive adoption of mobile computing, there is massive
generation of data. Though AI as a field existed 4-5 decades before as well,
with the exponential growth in data, the AI algorithms have become much easier
to train and to deploy at scale.
Hence AI as a field is re-emerging since last
decade. There is no industry vertical that is excluded from the influence of
AI. Every industry is adopting and accelerating with AI.
Learning objects?
- Building a common terminology in AI
- Declutter the various terms like Machine Learning, Deep Learning, AI and Data Science
- Cover some of the broad categories of algorithms that are used in Machine Learning and in Deep Learning
- AI applications are vastly different from traditional software development. You will learn how to develop AI applications using this “AI application development methodology”
Curriculum for this course
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What is Artificial Intelligence(AI)
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How AI works
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Benefits and Limitations
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Common Misconceptions
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Recent Developments
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Application of AI
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The AI Eco-system
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The Future of AI
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Summary and wrap-up
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Requirements
About the instructor
- 20 Reviews
- 24 Students
- 12 Courses
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15+ years of
Industry experience as SAP Financial Accounting Consultant, Module Lead, worked
on various IT Organizations across the globe.
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