Evaluating Current and Future AI Technologies and Frameworks
Artificial Intelligence
| Intermediate
- 13 videos | 39m 37s
- Includes Assessment
- Earns a Badge
Solid knowledge of the AI technology landscape is fundamental in choosing the right tools to use as an AI Architect. In this course, you'll explore the current and future AI technology landscape, comparing the advantages and disadvantages of common AI platforms and frameworks. You'll move on to examine AI libraries and pre-trained models, distinguishing their advantages and disadvantages. You'll then classify AI datasets and see a list of dataset topics. Finally, You'll learn how to make informed decisions about which AI technology is best suited to your projects.
WHAT YOU WILL LEARN
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discover the key concepts covered in this course
compare and contrast AI platforms, frameworks, libraries, pre-trained models, and datasets
recognize the key features and advantages/disadvantages of common AI platforms
identify the TensorFlow framework and distinguish its advantages/disadvantages
identify the Keras framework and distinguish its advantages/disadvantages
identify the PyTorch framework and distinguish its advantages/disadvantages
identify the MXNet framework and distinguish its advantages/disadvantages -
identify the CNTK framework and distinguish its advantages/disadvantages
identify the Cortex framework and explore its key features
examine AI libraries and identify their advantages/disadvantages
recognize pre-trained models and distinguish their advantages/disadvantages
classify AI datasets and recognize a list of dataset topics
summarize the key concepts covered in this course
IN THIS COURSE
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1. Course Overview1m 51s
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2. AI Technologies: Platforms, Frameworks, Libraries5m 9sFind out how to compare and contrast AI platforms, frameworks, libraries, pre-trained models, and datasets. FREE ACCESS
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3. AI Platforms: H2O, IBM Watson, Amazon Lex, and MS CS6m 51sUpon completion of this video, you will be able to recognize the key features and advantages and disadvantages of common AI platforms. FREE ACCESS
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4. TensorFlow Framework3m 26sIn this video, you will learn how to identify the TensorFlow framework and distinguish its advantages and disadvantages. FREE ACCESS
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5. Keras Framework2m 35sIn this video, find out how to identify the Keras framework and distinguish its advantages and disadvantages. FREE ACCESS
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6. PyTorch Framework2m 32sIn this video, you will learn how to identify the PyTorch framework and distinguish its advantages and disadvantages. FREE ACCESS
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7. MXNet Framework2m 27sDuring this video, you will learn how to identify the MXNet framework and distinguish its advantages and disadvantages. FREE ACCESS
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8. CNTK Framework2m 16sLearn how to identify the CNTK framework and distinguish its advantages and disadvantages. FREE ACCESS
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9. Cortex Framework2m 36sIn this video, you will identify the Cortex framework and explore its key features. FREE ACCESS
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10. AI Libraries1m 53sIn this video, you will examine AI libraries and identify their advantages and disadvantages. FREE ACCESS
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11. Pre-trained Models4m 12sAfter completing this video, you will be able to recognize pre-trained models and distinguish their advantages and disadvantages. FREE ACCESS
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12. AI Datasets1m 34sIn this video, you will learn how to classify AI datasets and recognize a list of dataset topics. FREE ACCESS
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13. Course Summary2m 16s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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