Responsible deployment of deep learning
Program start date | Application deadline |
2023-05-16 | - |
2023-06-06 | - |
2023-06-13 | - |
2023-06-14 | - |
Program Overview
Responsible Deployment of Deep Learning
Overview
This module is the third and final part of the "Neuron Networks and Deep Learning" certificate. The objective is to deploy a responsible solution based on deep learning, focusing on interpretability and social and ethical implications.
Objectives
- An understanding of deep neural networks
- Concrete experience with the deployment and hosting of an AI model
- The tools to design responsible deep learning solutions that meet social and ethical challenges
Content
Day 1: Interpretability of Artificial Neural Networks
- How to understand and explain what happens in an artificial neural network?
- Modeling in the form of a “black box”
- Main concepts: interpretability, action plan and policy of a model, and the Python SHAP and LIME libraries
Day 2: Deployment of a Deep Learning Model
- Concrete example of the deployment of a deep learning and focus model on a few specialized frameworks
- Main concepts: deployment, data science workload and Strealit and FastAPI frameworks
Day 3: Responsible Deployment of a Deep Learning Model
- Focus on the interpretability of a model and consideration of the social and ethical implications of deep learning
- Main concepts: deep learning models, interpretability, deployment
Program Details
- Prerequisites: Previous knowledge in data science and machine learning
- Location: Cachan
- **Duration of the training: 4 days
- Dates: May 16, June 6 June 13 and 14
- Price: € 1950 excluding VAT
Support for Individuals with Disabilities
- Our training programs are open to everyone
- If you have specific needs, especially related to a disability, please do not hesitate to contact us
- Our team is ready to welcome you and address your needs
- Find the welcome guide and all the information about the support and assistance available for our students and participants with disabilities!
Program Outline
Outline:
Day 1: Interpretability of artificial neural networks
- How to understand and explain what happens in an artificial neural network?
- Modeling in the form of a “black box”.
- The main concepts covered in this module are: interpretability, action plan and policy of a model, and the Python SHAP and LIME libraries.
Day 2: Deployment of a deep learning model
- Concrete example of the deployment of a deep learning and focus model on a few specialized frameworks.
- The main concepts covered in this module are: deployment, data science workload and Strealit and FastAPI frameworks.
Day 3: Responsible deployment of a deep learning model
Teaching:
TRAINERS / TEACHERS
- Emmanuel R. Goffi
- Virginie Mathivet
Overview:
aivancity School for Technology, Business & Society, Paris - Cachan is a Grande Ecole specializing in Artificial Intelligence (AI) and Data Science. It is a relatively new institution, founded in 2020, and has quickly gained recognition for its innovative approach to education.
Services Offered:
aivancity offers a range of services to its students, including:
Academic Programs:
aivancity provides a variety of academic programs, including a Grande Ecole program, Bachelor of Science in Applied AI, and various Master of Science programs in Data Engineering, Data Management, and AI for Business.Executive Education:
aivancity offers professional development programs for individuals and businesses, including certificates, short programs, and customized programs.International Opportunities:
aivancity provides opportunities for international study and exchange programs.Financial Aid:
aivancity offers scholarships and financial aid to eligible students.Career Services:
aivancity provides career guidance and support to help students find jobs in the AI and data science fields.Student Life and Campus Experience:
Key Reasons to Study There:
State-Recognized and Accredited:
aivancity is recognized by the French Ministry of Higher Education and Research, ensuring the quality of its programs.Hybrid Approach:
aivancity's curriculum combines AI, business management, and ethics, providing a well-rounded education for students.Industry Partnerships:
aivancity has strong partnerships with leading companies in the AI and data science fields, providing students with valuable industry connections and opportunities.Focus on Employability:
aivancity's programs are designed to prepare students for successful careers in the AI and data science fields.Innovative Pedagogy:
aivancity utilizes innovative teaching methods, including hybrid learning, project-based learning, and real-world case studies.Academic Programs:
aivancity offers a variety of academic programs, including:
Grande Ecole Program (MSc Artificial Intelligence & Data Science):
This program provides a comprehensive education in AI and data science, with a focus on both technical skills and business acumen.Bachelor of Science in Applied AI:
This program prepares students for careers as AI developers.Master of Science in Data Engineering & Cloud Computing:
This program focuses on the technical aspects of data engineering and cloud computing.Master of Science in Data Management:
This program focuses on the management and analysis of large datasets.Master of Science in Artificial Intelligence for Business:
This program prepares students for careers in business applications of AI.Other:
aivancity is committed to ethical AI development and has a strong focus on social responsibility. The institution is also actively involved in research and innovation in the field of AI.