Edge AI for Financial Services - Plan Szkolenia
Edge AI for Financial Services koncentruje się na wdrażaniu technologii Edge AI w bankowości i finansach. Kurs ten obejmuje wykrywanie oszustw, usprawnianie obsługi klienta i zarządzanie ryzykiem przy użyciu Edge AI, zapewniając praktyczną wiedzę na temat wykorzystywania sztucznej inteligencji na krawędzi w sektorze finansowym.
To prowadzone przez instruktora szkolenie na żywo (online lub na miejscu) jest skierowane do średniozaawansowanych specjalistów finansowych, programistów fintech i specjalistów AI, którzy chcą wdrożyć rozwiązania Edge AI w usługach finansowych.
Pod koniec tego szkolenia uczestnicy będą mogli
- Zrozumieć rolę Edge AI w usługach finansowych.
- Wdrożyć systemy wykrywania oszustw przy użyciu Edge AI.
- Poprawić obsługę klienta dzięki rozwiązaniom opartym na sztucznej inteligencji.
- Zastosować Edge AI do zarządzania ryzykiem i podejmowania decyzji.
- Wdrażanie i zarządzanie rozwiązaniami Edge AI w środowiskach finansowych.
Format kursu
- Interaktywny wykład i dyskusja.
- Wiele ćwiczeń i praktyki.
- Praktyczne wdrożenie w środowisku laboratoryjnym na żywo.
Opcje dostosowywania kursu
- Aby poprosić o spersonalizowane szkolenie dla tego kursu, skontaktuj się z nami w celu ustalenia szczegółów.
Plan Szkolenia
Wprowadzenie do Edge AI w usługach finansowych
- Przegląd Edge AI i jej zastosowań w finansach
- Korzyści i wyzwania związane z wykorzystaniem Edge AI w bankowości
- Studia przypadków udanych zastosowań Edge AI w finansach
Konfiguracja środowiska Edge AI
- Instalacja i konfiguracja narzędzi Edge AI
- Integracja źródeł danych finansowych i systemów gromadzenia danych
- Wprowadzenie do odpowiednich frameworków i bibliotek Edge AI
- Praktyczne ćwiczenia dotyczące konfiguracji środowiska
Wykrywanie oszustw za pomocą Edge AI
- Wprowadzenie do wykrywania oszustw
- Opracowywanie modeli AI do wykrywania oszustw w czasie rzeczywistym
- Wdrażanie systemów wykrywania anomalii
- Praktyczne ćwiczenia z wykrywania oszustw
Poprawa obsługi klienta przy użyciu Edge AI
- Przegląd obsługi klienta w usługach finansowych
- Techniki AI dla spersonalizowanych interakcji z klientami
- Wdrażanie chatbotów i wirtualnych asystentów opartych na sztucznej inteligencji
- Praktyczne ćwiczenia dla aplikacji obsługi klienta
Ryzyko Management dzięki Edge AI
- Wprowadzenie do zarządzania ryzykiem
- Wykorzystanie sztucznej inteligencji do oceny i ograniczania ryzyka w czasie rzeczywistym
- Wdrażanie systemów wspomagania decyzji opartych na sztucznej inteligencji
- Praktyczne ćwiczenia dotyczące zarządzania ryzykiem
Wdrażanie i zarządzanie rozwiązaniami Edge AI
- Wdrażanie modeli AI na finansowych urządzeniach brzegowych
- Monitorowanie i konserwacja systemów Edge AI
- Rozwiązywanie problemów i optymalizacja wdrożonych modeli
- Praktyczne ćwiczenia dotyczące wdrażania i zarządzania
Narzędzia i ramy dla finansowej sztucznej inteligencji brzegowej
- Przegląd narzędzi i struktur (np. TensorFlow Lite, OpenVINO)
- Korzystanie z TensorFlow Lite dla aplikacji finansowej sztucznej inteligencji
- Praktyczne ćwiczenia z narzędziami optymalizacyjnymi
Aplikacje i studia przypadków w świecie rzeczywistym
- Przegląd udanych projektów finansowych Edge AI
- Omówienie przypadków użycia specyficznych dla branży
- Praktyczny projekt budowania i optymalizacji rzeczywistej finansowej aplikacji AI
Podsumowanie i kolejne kroki
Wymagania
- Zrozumienie koncepcji sztucznej inteligencji i uczenia maszynowego
- Doświadczenie z usługami finansowymi i aplikacjami fintech
- Podstawowe umiejętności programowania (Python zalecane)
Publiczność
- Finance profesjonaliści
- Fintech deweloperzy
- Specjaliści ds. sztucznej inteligencji
Szkolenia otwarte są realizowane w przypadku uzbierania się grupy szkoleniowej liczącej co najmniej 5 osób na dany termin.
Edge AI for Financial Services - Plan Szkolenia - Booking
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Edge AI for Financial Services - Zapytanie o Konsultacje
Propozycje terminów
Szkolenia Powiązane
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This instructor-led, live training (online or onsite) is aimed at advanced-level AI practitioners, researchers, and developers who wish to master the latest advancements in Edge AI, optimize their AI models for edge deployment, and explore specialized applications across various industries.
By the end of this training, participants will be able to:
- Explore advanced techniques in Edge AI model development and optimization.
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- Explore innovative use cases and emerging trends in Edge AI.
- Address advanced ethical and security considerations in Edge AI deployments.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
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Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Building AI Solutions on the Edge
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This instructor-led, live training (online or onsite) is aimed at intermediate-level developers, data scientists, and tech enthusiasts who wish to gain practical skills in deploying AI models on edge devices for various applications.
By the end of this training, participants will be able to:
- Understand the principles of Edge AI and its benefits.
- Set up and configure the edge computing environment.
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- Implement practical AI solutions on edge devices.
- Evaluate and improve the performance of edge-deployed models.
- Address ethical and security considerations in Edge AI applications.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
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Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Edge AI in Autonomous Systems
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This instructor-led, live training (online or onsite) is aimed at intermediate-level robotics engineers, autonomous vehicle developers, and AI researchers who wish to leverage Edge AI for innovative autonomous system solutions.
By the end of this training, participants will be able to:
- Understand the role and benefits of Edge AI in autonomous systems.
- Develop and deploy AI models for real-time processing on edge devices.
- Implement Edge AI solutions in autonomous vehicles, drones, and robotics.
- Design and optimize control systems using Edge AI.
- Address ethical and regulatory considerations in autonomous AI applications.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Edge AI: From Concept to Implementation
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This instructor-led, live training (online or onsite) is aimed at intermediate-level developers and IT professionals who wish to gain a comprehensive understanding of Edge AI from concept to practical implementation, including setup and deployment.
By the end of this training, participants will be able to:
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- Set up and configure Edge AI environments.
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- Deploy and manage Edge AI applications.
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- Address ethical considerations and best practices in Edge AI implementation.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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- Address ethical and regulatory considerations in healthcare AI applications.
Format of the Course
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Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Edge AI in Industrial Automation
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Pod koniec tego szkolenia uczestnicy będą mogli
- Zrozumieć rolę Edge AI w automatyce przemysłowej.
- Wdrożyć rozwiązania konserwacji predykcyjnej przy użyciu Edge AI.
- Zastosować techniki AI do kontroli jakości w procesach produkcyjnych.
- Optymalizować procesy przemysłowe przy użyciu Edge AI.
- Wdrażać i zarządzać rozwiązaniami Edge AI w środowiskach przemysłowych.
Edge AI for IoT Applications
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- Understand the fundamentals of Edge AI and its application in IoT.
- Set up and configure Edge AI environments for IoT devices.
- Develop and deploy AI models on edge devices for IoT applications.
- Implement real-time data processing and decision-making in IoT systems.
- Integrate Edge AI with various IoT protocols and platforms.
- Address ethical considerations and best practices in Edge AI for IoT.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Edge AI for Smart Cities
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By the end of this training, participants will be able to:
- Understand the role of Edge AI in smart city infrastructures.
- Implement Edge AI solutions for traffic management and surveillance.
- Optimize urban resources using Edge AI technologies.
- Integrate Edge AI with existing smart city systems.
- Address ethical and regulatory considerations in smart city deployments.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Edge AI with TensorFlow Lite
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This instructor-led, live training (online or onsite) is aimed at intermediate-level developers, data scientists, and AI practitioners who wish to leverage TensorFlow Lite for Edge AI applications.
By the end of this training, participants will be able to:
- Understand the fundamentals of TensorFlow Lite and its role in Edge AI.
- Develop and optimize AI models using TensorFlow Lite.
- Deploy TensorFlow Lite models on various edge devices.
- Utilize tools and techniques for model conversion and optimization.
- Implement practical Edge AI applications using TensorFlow Lite.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Introduction to Edge AI
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- Understand the basic concepts and architecture of Edge AI.
- Set up and configure Edge AI environments.
- Develop and deploy simple Edge AI applications.
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Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Optimizing AI Models for Edge Devices
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This instructor-led, live training (online or onsite) is aimed at intermediate-level AI developers, machine learning engineers, and system architects who wish to optimize AI models for edge deployment.
By the end of this training, participants will be able to:
- Understand the challenges and requirements of deploying AI models on edge devices.
- Apply model compression techniques to reduce the size and complexity of AI models.
- Utilize quantization methods to enhance model efficiency on edge hardware.
- Implement pruning and other optimization techniques to improve model performance.
- Deploy optimized AI models on various edge devices.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Security and Privacy in Edge AI
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This instructor-led, live training (online or onsite) is aimed at intermediate-level cybersecurity professionals, system administrators, and AI ethics researchers who wish to secure and ethically deploy Edge AI solutions.
By the end of this training, participants will be able to:
- Understand the security and privacy challenges in Edge AI.
- Implement best practices for securing edge devices and data.
- Develop strategies to mitigate security risks in Edge AI deployments.
- Address ethical considerations and ensure compliance with regulations.
- Conduct security assessments and audits for Edge AI applications.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.