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.
Learning objectives
- Master Google Cloud Vision API, AWS Rekognition, and Azure Computer Vision for professional processing.
- Develop skills in object detection, facial recognition, and OCR using certified cloud services.
- Configure scalable image analysis pipelines in enterprise settings with DevOps integration.
- Optimize costs and performance of vision APIs for high-volume projects.
- Implement real-world use cases such as content moderation or logistics automation.
- Integrate these skills into certified training programs to boost your cloud career.
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.
Program
Module 1Cloud Vision API Fundamentals: Google Vision, AWS Rekognition, Azure CV (authentication, endpoints)
Discover the basics of multi-cloud Cloud Vision APIs through practical exercises on Google Cloud Console, AWS, and Azure Portal. Configure credentials and test initial API calls in Python using official libraries like google-cloud-vision and boto3. Analyze JSON responses for simple object detection, create a first OCR script on uploaded images, and produce deliverables such as a comparative report of the three services and a ready-to-use Jupyter notebook.
Module 2Advanced Detection with Cloud Vision API: objects, faces, text (labeling features, landmarks)
Dive into intermediate features of Cloud Vision APIs. Practice facial recognition on AWS Rekognition with emotion detection, extract complex text using Google Vision OCR and Azure Read API, integrate automatic image labeling for ML datasets. Develop a batch script processing 100+ images with error handling and throttling. Test on real cases like e-commerce catalogs, produce a Streamlit dashboard visualizing results, and export annotations to CSV for data pipelines.
Module 3Cloud Vision API Integration: serverless pipelines, microservices (Lambda, Functions, App Engine)
Build scalable architectures with Cloud Vision API. Deploy serverless functions on AWS Lambda for Rekognition, Azure Functions for Computer Vision, and Google Cloud Functions. Integrate with S3, Blob Storage, and Cloud Storage for asynchronous processing. Simulate real-time streams via Pub/Sub and Event Grid, optimize latency with Redis caching. Develop an MVP web app in React for image uploads and analysis display. Validate IAM security and obtain architecture diagrams via Draw.io.
Module 4Optimization and Professional Use Cases for Cloud Vision API: costs, security, monitoring (enterprise best practices)
Master optimization of Cloud Vision APIs for professional environments. Analyze billing and quotas on cloud consoles, implement monitoring with CloudWatch, Application Insights, and Stackdriver. Strengthen security via VPC, encryption, and GDPR compliance. Test high availability on failure scenarios. Deploy a final project for UGC content moderation with Slack alerts. Evaluate ROI via precision/recall metrics, receive Terraform templates for IaC, and obtain validated skills certification.
Evaluation method
- Interactive quizzes and coding challenges at the end of each day on a dedicated platform.
- Capstone project on Day 4: complete multi-cloud pipeline with technical report.
- Qualiopi certification and LinkedIn skills badge for professional portfolio.
Learning method
- 70/30 method: 70% hands-on practice, 30% theory via live demos.
- Customized exercises on real enterprise datasets (e-commerce, healthcare).
- Dual-track multi-cloud: AWS, Azure, Google for cross-platform skills.
- Session replays and post-training resources accessible for 6 months.
Methods, materials and delivery
The Training Cloud Vision API - Analyze Images with Multi-Cloud 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 Vision API - Analyze Images with Multi-Cloud 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 Vision API - Analyze Images with Multi-Cloud 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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