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The Training: Mastering Amazon Comprehend - Text Analysis and Natural Language Processing for Businesses 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: Mastering Amazon Comprehend - Text Analysis and Natural Language Processing for Businesses 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: Mastering Amazon Comprehend - Text Analysis and Natural Language Processing for Businesses training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Overview of NLP and the Amazon Comprehend offering, concrete application cases, discovery of the AWS console, account creation, access configuration, IAM roles management, and security best practices. First trials of entity detection, key phrase extraction, and language detection via the AWS graphical interface.
Using Amazon Comprehend APIs in Python, request structures, batch processing of large text datasets, management of input/output formats (JSON, S3). Hands-on practice with real datasets. Sentiment detection, PII (Personally Identifiable Information) identification, document annotation, and results export. Sequence of practical exercises with guided corrections.
Creating and training custom models with Comprehend Custom. Categorical classification, model fine-tuning by uploading datasets, performance tracking, and cost analysis. Securing workflows, log management, and monitoring with CloudWatch. Deploying automated analysis pipelines, creating decision dashboards, best practices for integrating Amazon Comprehend into an existing IT system. End-to-end workshop on a business case: from raw import to final report.
Target audience
Data analysts, data scientists, IT project managers, software engineers, and anyone wishing to leverage automatic text analysis tools in AWS.
Prerequisites
Basic programming skills (Python or Java recommended), fundamental knowledge of natural language processing, and familiarity with the AWS environment.
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