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Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Request a quote See the program
Ref: MJX249
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Cloud Speech-to-Text, your speech recognition applications produce inaccurate transcriptions that frustrate users and trigger mass complaints.

  • A faulty implementation costs on average 12 000 € per project in wasted debug hours and unnecessary cloud overcharges.

  • 68 % of voice integration failures in IT services stem from poor configuration, exposing the company to GDPR non-compliance risks and data losses.

  • Every month without expertise, your team misses business opportunities and cedes 25 % market share to competitors that dominate voice AI.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

40,840 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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  • Palo Alto Networks
  • Aruba
  • VMware
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  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Cloud Speech-to-Text training objectives

  • Understand the general functioning of Cloud Speech-to-Text solutions
  • Set up and secure a Cloud environment for speech recognition
  • Use the Cloud Speech-to-Text API to transcribe audio streams
  • Optimize transcription accuracy and handle specific use cases (languages, industry jargon, background noise, etc.)
  • Implement a complete speech recognition integration project in an application

Cloud Speech-to-Text curriculum: 3 modules over 3 days

Module 1 : Fundamentals of Speech Recognition and Cloud Hands-On

Introduction to speech recognition: history, uses, and challenges (accessibility, automation, customer support). Discovery of the Cloud Speech-to-Text service (Google, Azure, AWS): differences, strengths. Creation and configuration of a cloud account, billing and quota management. Basic security on the platform. First transcription test with simple audio files (guided practical exercise).

Module 2 : Leverage the Speech-to-Text API in Your Applications

Principles of REST and gRPC APIs for speech recognition. Authentication and access security. Configuring transcription options (language, encoding, enhanced recognition, automatic punctuation, etc.). Transcription of audio files and real-time streams. Error handling and debugging. Integration of the API into a Python application (provided examples).

Module 3 : Optimize and Automate Speech Recognition

Improve result accuracy: model adaptation (Custom Classes, Phrase Hints), handling accents and background noise. Business case studies (call centers, medical transcription, multilingual meetings). Advanced scenarios: streaming transcription, video synchronization, automatic subtitling. Automation of transcription scripts. Evaluation, feedback, deployment advice at scale (scalability, monitoring).

How Cloud Speech-to-Text skills are assessed

  • Quiz to validate learning at the end of each day
  • Development of a mini-project integrating Cloud Speech-to-Text into a real application
  • Daily practical exercises with personalized debriefing

How the Cloud Speech-to-Text course is taught

  • Alternating theoretical inputs, live demonstrations, and guided exercises
  • Intensive hands-on practice, real case studies
  • PDF supports, technical guides, and source codes provided

Cloud Speech-to-Text training: access and practical arrangements

The Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud program is delivered onsite or remote (blended-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: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud 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: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your Cloud Speech-to-Text training

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

Cloud Speech-to-Text: frequently asked questions

What can participants do after Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training?+
They can understand the general functioning of Cloud Speech-to-Text solutions, set up and secure a Cloud environment for speech recognition and use the Cloud Speech-to-Text API to transcribe audio streams. Those are the stated objectives of the Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud program cover, day by day?+
Day 1: Fundamentals of Speech Recognition and Cloud Hands-On. Day 2: Leverage the Speech-to-Text API in Your Applications. Day 3: Optimize and Automate Speech Recognition. The Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud program runs over 3 days, delivered on site.
How is Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training assessed?+
Assessment relies on quiz to validate learning at the end of each day, development of a mini-project integrating Cloud Speech-to-Text into a real application and daily practical exercises with personalized debriefing. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud program, which an L&D team can file as evidence.
How much does Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training cost per participant?+
Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training?+
Basic programming knowledge (Python or equivalent), basics of Web APIs.
Is a certificate issued after Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Training: Master Cloud Speech-to-Text: Develop Speech Recognition Applications in the Cloud training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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