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Training Cloud Natural Language API - Analyze Text for Enterprise AI

Ref: STJ723
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 days
in-person

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Learning objectives

  • Master the Cloud Natural Language API for sentiment and entity analysis in certifying professional training
  • Develop skills in integrating NLP into enterprise applications on AWS, Azure, and Google Cloud
  • Configure automated text analysis pipelines to boost professional productivity
  • Implement concrete cases of named entity recognition in hybrid cloud environments
  • Optimize NLP models for high performance in certifying enterprise projects
  • Deploy scalable text AI solutions with a focus on security and GDPR compliance

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Fundamentals of Cloud Natural Language API: Discover NLP APIs (Google Cloud, AWS Comprehend, Azure Text Analytics)

Discover the principles of natural language processing via the Cloud Natural Language API and its equivalents on AWS and Azure, install the Python SDKs, make your first API calls to extract sentiments and syntax from real enterprise datasets, analyze results with Jupyter Notebooks, build an initial performance report, integrate practical exercises on customer texts to identify model strengths and weaknesses.

Module 2Sentiment and Entity Analysis: Implement Cloud Natural Language API (Google Cloud, AWS, Azure tools)

Dive into sentiment analysis with Cloud Natural Language API, compare with AWS Comprehend and Azure Text Analytics, process massive text streams via batch processing, code Python scripts to classify positive or negative emotions, test on concrete cases like product reviews, generate visualizations with Matplotlib, optimize confidence thresholds, produce a real-time sentiment alert prototype for enterprise dashboards.

Module 3Entity Recognition and Classification: Cloud Natural Language API Pipelines (Hybrid AWS-Azure-Google Methods)

Build advanced pipelines to extract named entities via Cloud Natural Language API, integrate AWS and Azure for hybridization, use custom annotations on business corpora, develop serverless functions for scalable processing, apply to customer emails or legal documents, evaluate accuracy with F1-score metrics, deploy an MVP connected to a cloud database, document workflows for DevOps teams.

Module 4Syntax and Coreference: Optimize Cloud Natural Language API (Analytical Deliverables on Google Cloud, AWS, Azure)

Deepen syntax and coreference with Cloud Natural Language API, merge insights from AWS Lex and Azure LUIS, parse complex sentences for dependency diagrams, code anaphora resolution algorithms on long texts, test on enterprise annual reports, integrate into web apps via Flask, measure productivity gains, prepare a production specification document, simulate high loads with stress tests.

Module 5Deployment and Security of Cloud Natural Language API: Final Certifying Projects (Integrated AWS, Azure, Google Cloud)

Deploy complete Cloud Natural Language API solutions in Kubernetes on Google Cloud with AWS and Azure gateways, secure APIs via IAM and OAuth, monitor with Stackdriver and CloudWatch, migrate a real customer case to production, train on post-training maintenance, evaluate ROI via business KPIs, issue Qualiopi certifications, access post-training resources for lasting enterprise skills.

Evaluation method

  • Interactive quizzes and daily graded hands-on labs to validate learning
  • Final team project: complete NLP application deployed
  • 360° evaluation by certified trainers and peers

Learning method

  • Practical projects on real enterprise data
  • Hands-on labs in small groups with personalized feedback
  • AWS, Azure, Google Cloud production case studies
  • Simulations and challenges for skill anchoring

Methods, materials and delivery

The Training Cloud Natural Language API - Analyze Text for Enterprise AI program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Cloud Natural Language API - Analyze Text for Enterprise AI program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Cloud Natural Language API - Analyze Text for Enterprise AI program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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