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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master AWS Rekognition APIs for professional image analysis
- Develop scalable enterprise AI video pipelines
- Implement face, object, and text detection with Rekognition
- Optimize AWS Rekognition integrations for certified performance
- Design GDPR-compliant solutions using AWS Rekognition
- Deploy secure production-ready Rekognition AI applications
Our social commitment
A school kit donated to a child for every training
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
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.
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.
Program
Module 1AWS Rekognition Fundamentals: API Configuration and Image Analysis (SDK, Console, S3)
Installation of AWS Rekognition SDK, secure IAM configuration for API access, first calls to detect objects and scenes in real images, exercises on enterprise datasets, content moderation analysis with custom labels, creation of a basic Python script for batch processing, validation via AWS console with immediate feedback and initial cost optimization.
Module 2AWS Rekognition Face Analysis: Emotion Detection and Comparison (Celebrity, Custom Labels)
Exploration of DetectFaces API for extracting demographic attributes, implementation of SearchFaces for matching databases, integration with S3 for automated flows, practical cases on surveillance videos, development of Custom Labels for specific industry recognition, tests on real enterprise scenarios, production of a real-time emotion detection prototype with accuracy metrics.
Module 3AWS Rekognition Video Analysis: Streaming and Real-Time Events (Kinesis, Lambda Triggers)
Configuration of StartMediaAnalysis for asynchronous video jobs, monitoring with GetMediaAnalysisJob, integration of Kinesis Video Streams for live processing, exercises on motion and activity detection, chaining with Lambda for automated alerts, concrete industrial security cases, creation of a CloudWatch dashboard visualizing AI insights, latency optimization for critical applications.
Module 4Advanced AWS Rekognition: OCR Text and Content Moderation (Textract Integration, Safeguards)
Mastery of DetectText for multilingual OCR extraction, combination of Rekognition-Textract for image documents, implementation of Content Moderation with nuisance filtering, exercises on large e-commerce datasets, development of custom guards via Custom Moderation, GDPR compliance tests on sensitive data, production of an end-to-end pipeline processing thousands of assets with automated reporting.
Module 5AWS Rekognition Deployment: Production Scalability and Monitoring (ECS, Fargate, Cost Optimization)
Serverless deployment via API Gateway and Lambda, scaling with ECS/Fargate for peak loads, monitoring Rekognition performance via X-Ray and CloudWatch, cost optimization with Savings Plans, final exercises on the enterprise red thread project, security and compliance audit, packaging of deployable solution with CI/CD CodePipeline, delivery of certified deliverables and post-training plan.
Evaluation method
- Advanced MCQ to validate AWS Rekognition knowledge acquisition
- Evaluation of practical exercises on AI pipelines
- Defense of red thread project for Rekognition production
Learning method
- Training by certified AWS expert instructor
- Practical exercises on real enterprise cases
- Progressive red thread AWS Rekognition project
- Comprehensive course materials and AWS resources
Methods, materials and delivery
The Training AWS Rekognition - Analyze Images and Videos with AI 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 AWS Rekognition - Analyze Images and Videos with 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 AWS Rekognition - Analyze Images and Videos with 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
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.
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the Training AWS Rekognition - Analyze Images and Videos with AI training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training AWS Rekognition - Analyze Images and Videos with AI training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
AWS knowledge (S3, Lambda, EC2), Python/Node.js, ML/AI basics
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
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