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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training Cloud Natural Language API 2026 - Intelligently Analyze Texts 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 Cloud Natural Language API 2026 - Intelligently Analyze Texts 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 Cloud Natural Language API 2026 - Intelligently Analyze Texts training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
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.
Discover the 2026 evolutions of the Cloud Natural Language API through practical workshops on setting up secure environments, OAuth2 authentication, and optimized quotas, using the Python SDK and GCP console to test your first syntactic analyses on real text corpora, producing structured reports ready to integrate into enterprise dashboards, with collaborative exercises to consolidate intermediate basics.
Dive into entity extraction with v6 of the API via concrete cases like customer feedback analysis, applying custom NER models on large datasets, testing accuracy with F1-score metrics, integrating results into NoSQL databases, and developing automated scripts for batch processing, while comparing performances with AWS Comprehend and Azure Text Analytics.
Master advanced sentiment scoring on multilingual texts in 2026, through hands-on exercises on product reviews and social networks, calibrating confidence thresholds with Matplotlib and Tableau visualizations, implementing hybrid classifiers to detect irony or sarcasm, and deploying proxy APIs for multi-cloud scalability, generating actionable insights for marketing teams.
Explore deep syntactic parsing with dependency trees generated by the 2026 API, applied to legal or technical documents, building custom parsers via TensorFlow integrated with Kubernetes, testing robustness on noisy texts, automating CI/CD workflows with GitHub Actions, and exporting Neo4j graphs for enriched relational analyses in a professional context.
Finalize with the production deployment of complete NLP pipelines on Google Cloud Run, with monitoring via Stackdriver and automated alerts, optimizing costs via serverless and spot instances, integrating comparisons with AWS SageMaker and Azure Cognitive Services, producing a deliverable capstone project with interactive Streamlit dashboard, and planning a post-training roadmap for certifying enterprise adoption.
Target audience
Data developers, business intelligence analysts, ML engineers, and IT project managers seeking to upskill in textual AI to boost enterprise data analysis.
Prerequisites
Knowledge of Python or JavaScript programming, basic use of REST APIs, and fundamentals of Google Cloud Platform or equivalent multi-cloud.
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