AWS AI Practitioner: Practical Use Cases for AI
Amazon Web Services 2025
| Intermediate
- 12 videos | 40m 23s
- Earns a Badge
AWS offers a broad, deep set of machine learning services and supporting cloud infrastructure, putting ML in the hands of every developer, data scientist, and expert practitioner. In this course, discover where AI/ML can add value, when their use may not be appropriate, and ML techniques for use cases and examples of real-world applications. Next, learn how to utilize Amazon SageMaker's capabilities and the key features of Amazon Transcribe and Amazon Translate. Finally, learn the basic capabilities of Amazon Comprehend and Amazon Lex and how to utilize Amazon Polly's key features. This course is part of a collection that prepares you for the AIF-C01: AWS Certified AI Practitioner exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Identify applications where ai/ml can provide value, such as assisting human decision-making, solution scalability, and automation
Recognize when the use of ai/ml solutions are not appropriate, such as in cost benefit analyses and situations when a specific outcome is needed instead of a prediction
Compare the appropriate ml techniques for specific use cases, including regression, classification, and clustering
Outline examples of real-world ai applications like computer vision, nlp, speech recognition, recommendation systems, fraud detection, and forecasting
Utilize the capabilities of amazon sagemaker -
Describe the capabilities of amazon transcribe
Outline the key features of amazon translate
Recognize the competencies of amazon comprehend
Identify the key features of amazon lex
Utilize the capabilities of amazon polly
Summarize the key concepts covered in this course
IN THIS COURSE
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39sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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2m 32sAfter completing this video, you will be able to identify applications where AI/ML can provide value, such as assisting human decision-making, solution scalability, and automation. FREE ACCESS
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3. When AI/ML Solutions Are Not Appropriate2m 4sThrough this video, you will be able to recognize when the use of AI/ML solutions are not appropriate, such as in cost benefit analyses and situations when a specific outcome is needed instead of a prediction. FREE ACCESS
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4. Machine Learning Techniques for Specific Use Cases3m 30sIn this video, we will compare the appropriate ML techniques for specific use cases, including regression, classification, and clustering. FREE ACCESS
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5. Real-World AI Applications6m 29sUpon completion of this video, you will be able to outline examples of real-world AI applications like computer vision, NLP, speech recognition, recommendation systems, fraud detection, and forecasting. FREE ACCESS
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6. Using Amazon SageMaker8m 24sDiscover how to utilize the capabilities of Amazon SageMaker. FREE ACCESS
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7. Amazon Transcribe3m 31sAfter completing this video, you will be able to describe the capabilities of Amazon Transcribe. FREE ACCESS
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8. Amazon Translate2m 30sIn this video, we will outline the key features of Amazon Translate. FREE ACCESS
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9. Amazon Comprehend3m 42sThrough this video, you will be able to recognize the competencies of Amazon Comprehend. FREE ACCESS
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10. Amazon Lex3m 26sUpon completion of this video, you will be able to identify the key features of Amazon Lex. FREE ACCESS
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11. Using Amazon Polly3mLearn how to utilize the capabilities of Amazon Polly. FREE ACCESS
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12. Course Summary37sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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