500+ Slides | 200+ Questions | Become Certified in AWS ML| SageMaker|Data Engineering | Visualization | Model Deployment
The curriculum spans data engineering, streaming services like Kinesis, and specialized AI tools such as Rekognition and Lex.
Instruction includes frequent quizzes integrated across various modules to reinforce specific technical concepts.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This diagram displays a vertical list of key AWS data engineering services, including Amazon S3, Kinesis, Glue, DynamoDB, Redshift, and Elasticsearch.
The presenter illustrates the connection process from a local device through the internet to an AWS account using a simple three-step visual aid.
Learners have noted a lack of hands-on labs or direct AWS console demonstrations, relying instead on theoretical slide presentations. This signal predates the displayed update; while the update label may have addressed this, it does not prove a correction.
One signal indicates difficulty retrieving bonus content due to issues with the provided access codes. This signal predates the displayed update; while the update label may have addressed this, it does not prove a correction.
The content aligns with the target of AWS certification, but signals suggest it may be difficult for those entirely new to machine learning. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
