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The Training Amazon Comprehend: Mastering Textual Data Analysis with NLP on AWS training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Amazon Comprehend: Mastering Textual Data Analysis with NLP on AWS training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Amazon Comprehend: Mastering Textual Data Analysis with NLP on AWS training is carried out through:
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Overview of NLP and its business applications; presentation of Amazon Comprehend and its components (sentiment analysis, entity extraction, language detection); setting up a secure AWS environment; first steps with the Comprehend console; preparing and importing textual datasets; real-world case studies.
Advanced analysis: sentiment detection, key phrase extraction, topic categorization, custom entity recognition; Python scripts with boto3; integration pipelines with S3, Lambda, and Glue; creating and training custom models; evaluating results on business corpora; managing quotas and costs; security and GDPR compliance best practices.
Automating analyses in production (Batch vs. real-time); advanced volume management and scaling; monitoring with CloudWatch; optimizing models to improve relevance and performance; integration with Amazon Translate and Lex for multilingual solutions; experience feedback and support for skill building; hands-on workshops on participants' business datasets.
Target audience
Data analysts, Cloud engineers, IT project managers, NLP specialists, digital marketing professionals seeking to automate large-scale text analysis
Prerequisites
Basic programming knowledge (Python recommended), experience with AWS, and basic understanding of natural language processing
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