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Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence

Course created on July 27, 2026Updated on October 5, 2026

On quote$2,310

2 days
Onsite
8 people max.

Request a quote See the program

Ref: MYC161

8 people max.

On quote$2,310

In-company rate: on quotefrom $4,190 for the whole team

On-site and certification exam on quote

2 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of AI-driven speech recognition and automated transcription, your teams lose 4 to 6 hours per hour of audio processed manually, for an average cost of 250 € per hour in outsourced labor.
75 % of data and innovation projects suffer critical delays due to transcription errors, generating up to 15 000 € in monthly losses per team of 5 developers.
Your company risks a 25 % erosion of its competitiveness against automated competitors, while innovation leads see their careers compromised by missed opportunities.
Each month without these skills exposes the business to thousands of euros wasted and an insurmountable lag in the market.

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25,735 programs · 25 countries

Every program built with a dedicated engineer

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

Learning objectives

Describe and understand the functioning of OpenAI's Whisper model
Install and configure Whisper for different environments (local, cloud, Docker)
Automate transcription of multilingual audio and video files
Exploit Whisper APIs for custom integrations
Evaluate transcription quality and improve their relevance
Secure confidential audio data during processing
Implement case studies: transcription of meetings, automatic subtitling, customer feedback analysis

Program

Module 1Introduction to Speech Recognition and Whisper

Overview of speech-to-text technologies. Presentation of the Whisper model: history, use cases, and architectures. General functioning, advantages compared to other market solutions. Concrete examples of business applications.

Module 2Installation and Configuration of Whisper

Hands-on Python environment setup. Local installation, configuration on remote servers, and Docker deployment. Required hardware resources. Initial parameterization and performance recommendations.

Module 3Advanced Use of Whisper and Transcription Automation

Processing audio/video files: automatic extraction, multilingual support. Python scripting for workflow automation. Comparative analysis: accuracy, speed, limitations. Practical case studies: transcription of interviews, podcasts, meetings, video subtitling.

Module 4APIs, Integration, and Customization

API calls (RESTful/WebSocket) for integration into existing IT systems. Automation via scripts and third-party applications. Customization of models for specific domains. Integration with office/collaborative tools and DevOps workflows.

Module 5Ensuring Quality, Security, and Confidentiality

Best practices for transcription quality: cleaning, segmentation, enrichment, post-processing. Auditing and improving result relevance. Security for sensitive audio processing: anonymization, secure hosting, encryption. GDPR and compliance.

Evaluation method

MCQ at the end of the training to validate acquisition of fundamental concepts
Real case studies with written and oral presentations
Personalized feedback on scripting and integration exercises

Learning method

Interactive courses and step-by-step demonstrations
Professional scenarios using realistic datasets
Updated training materials provided to each participant
Access to a repository of ready-to-use scripts and models

Methods, materials and delivery

The Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence 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: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence 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: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence 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

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.

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

Frequently asked questions

What can participants do after Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence training?+

They can describe and understand the functioning of OpenAI's Whisper model, install and configure Whisper for different environments (local, cloud, Docker) and automate transcription of multilingual audio and video files. Those are the stated objectives of the Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence program at Intermediate level, checked by the end-of-session assessment.

What does the Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence program cover, day by day?+

Day 1: Introduction to Speech Recognition and Whisper. Day 2: Installation and Configuration of Whisper. Day 3: Advanced Use of Whisper and Transcription Automation. Day 4: APIs, Integration, and Customization. Day 5: Ensuring Quality, Security, and Confidentiality. The Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence program runs over 2 days, delivered on site.

How is Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence training assessed?+

Assessment relies on MCQ at the end of the training to validate acquisition of fundamental concepts, real case studies with written and oral presentations and personalized feedback on scripting and integration exercises. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence program, which an L&D team can file as evidence.

How much does Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence training cost per participant?+

Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.

How long does Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence training take?+

2 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: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence 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: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence training?+

Basic knowledge of Python and understanding of web APIs.

Is a certificate issued after Training: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence 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: Mastering OpenAI's Whisper: Speech Recognition and Automated Transcription Using Artificial Intelligence 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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