Collège Boréal
Collège Boréal
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Lamiaa Hassan
Apprenant.e.s
(1)
3
Lieu
Gatineau, Quebec, Canada
Curriculum vitae
lamiaa Hassan resume.docx
Portails
Catégories
Développement de logiciels

Compétences

Amazon web services 2 Artificial intelligence 2 Back end (software engineering) 2 Data storage 2 Management 2 Performance analysis 2 Scalability 2 User interface testing 2

Réalisations

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Community Builder
Émis par Riipen
The Community Builder achievement is awarded to learners who provided feedback to project partners at the conclusion of their project, helping to create a better experiential learning ecosystem for all participants.
juin 1, 2024
Work-Integrated Learner
Émis par Riipen
The Work-Integrated Learner achievement is awarded to learners who applied their skills to a real-world problem by completing a project for an external partner. These learners provided real benefit to businesses while developing experience.
juin 1, 2024
Project Participant
Émis par Riipen
The Project Participant achievement is awarded to learners who start their first project, demonstrating their commitment to putting learned skills to practice.
mai 6, 2024

Dernières rétroactions

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Timur Luguev
Employeur.euse
juin 1, 2024
Approbation individuelle
Performance analysis Data storage Back end (software engineering) User interface testing Scalability Amazon web services Management Artificial intelligence
Good work!
Rétroaction d'equipe
Performance analysis Data storage Back end (software engineering) User interface testing Scalability Amazon web services Management Artificial intelligence
Great work, Team!
Beyond the Cloud
Beyond the Cloud - Cloud Technology
Beyond the Cloud
Ecomtent
Backend Development for AI solution on AWS
Ecomtent

Projets récents

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Ecomtent
Ecomtent
Toronto, Ontario, Canada

Backend Development for AI solution on AWS

The main goal for the project is to develop the backend for Ecomtent's superhuman AI application that automates listing across ecommerce channels with AI-generated content. The application will be hosted on AWS and will require seamless integration with the existing AI technology. This will involve several different steps for the learners, including: - Understanding the existing AI technology and its functionalities. - Designing and developing the backend architecture for the AI application on AWS. - Implementing data storage and management solutions on AWS. - Integrating the backend with the front-end user interface. - Testing the backend for performance, scalability, and security.

Jumelages 2
Catégorie Intelligence artificielle + 3
Fermé