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Manuel Roveri
This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems.
Register for this course and see more details by visiting:
OpenCourser.com/course/p8o5uw/technologies
What's inside
Syllabus
IT and A
AI on the Cloud
Embedded and Edge AI
Read more
Syllabus
IT and A
AI on the Cloud
Embedded and Edge AI
Read more
Challenges and opportunities
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines the core concepts of AI and its applications, beginning with the Internet of Things (IoT) and extending to cloud computing, embedded systems, and edge computing
Taught by Manuel Roveri, a recognized AI researcher and practitioner, this course offers a wealth of real-world knowledge
Covers a diverse range of technical topics, such as hardware technologies, machine learning platforms, and deep learning frameworks
Prepares learners for careers in AI and its various applications, providing a solid foundation for further exploration in the field
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Save Technologies and platforms for Artificial Intelligence to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Technologies and platforms for Artificial Intelligence with these
activities:
Explore Edge AI on Coursera
Show steps
Prepare for the course by reviewing the basics of Edge AI.
Browse courses on
AI Technologies
Show steps
-
Complete the "Edge AI Fundamentals" course on Coursera.
Review machine learning algorithms
Show steps
Strengthen your foundation in machine learning in preparation for the course.
Browse courses on
Machine Learning Algorithms
Show steps
-
Review your previous coursework or study materials on machine learning.
-
Work through practice problems or quizzes to test your understanding.
Practice coding in Python for AI
Show steps
Enhance your coding skills in Python to support your learning in the course.
Browse courses on
Machine Learning
Show steps
-
Solve Python coding problems on LeetCode or HackerRank.
-
Build a simple Python project that utilizes AI techniques.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Attend an AI meetup or conference
Show steps
Expand your network and learn from industry experts.
Show steps
-
Research and identify relevant AI meetups or conferences in your area.
-
Attend the event and engage with other attendees.
-
Follow up with interesting contacts you meet.
Create a study guide for the course
Show steps
Organize and review course materials to improve comprehension and retention.
Show steps
-
Gather and review all course materials, including lectures, readings, and assignments.
-
Identify key concepts and topics.
-
Create a comprehensive study guide that summarizes and synthesizes the course material.
Join a study group for the course
Show steps
Collaborate with peers to enhance your understanding and retention.
Show steps
-
Identify or form a study group with other students enrolled in the course.
-
Meet regularly to discuss course materials, share insights, and work on assignments together.
Follow tutorials on deep learning frameworks
Show steps
Enhance your understanding of deep learning frameworks and their practical applications.
Browse courses on
Deep Learning Frameworks
Show steps
-
Identify and select reputable tutorials on deep learning frameworks such as TensorFlow or PyTorch.
-
Work through the tutorials and complete hands-on exercises.
Design an AI application
Show steps
Develop your understanding of AI application design through a hands-on project.
Browse courses on
AI Technologies
Show steps
-
Identify a real-world problem that can be solved using AI.
-
Research and select appropriate AI platforms and frameworks.
-
Design and develop a prototype of your AI application.
-
Evaluate the performance of your application.
Write a blog post or article about AI trends
Show steps
Reinforce your understanding of AI trends and their impact.
Browse courses on
AI Technologies
Show steps
-
Research and identify key trends and developments in AI.
-
Write a well-structured blog post or article that discusses these trends.
-
Share your blog post or article on social media or other relevant platforms.
Explore Edge AI on Coursera
Show steps
Prepare for the course by reviewing the basics of Edge AI.
Browse courses on
AI Technologies
Show steps
Show steps
Show steps
- Complete the "Edge AI Fundamentals" course on Coursera.
Review machine learning algorithms
Show steps
Strengthen your foundation in machine learning in preparation for the course.
Browse courses on
Machine Learning Algorithms
Show steps
Show steps
Show steps
- Review your previous coursework or study materials on machine learning.
- Work through practice problems or quizzes to test your understanding.
Practice coding in Python for AI
Show steps
Enhance your coding skills in Python to support your learning in the course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Solve Python coding problems on LeetCode or HackerRank.
- Build a simple Python project that utilizes AI techniques.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Attend an AI meetup or conference
Show steps
Expand your network and learn from industry experts.
Show steps
Show steps
Show steps
- Research and identify relevant AI meetups or conferences in your area.
- Attend the event and engage with other attendees.
- Follow up with interesting contacts you meet.
Create a study guide for the course
Show steps
Organize and review course materials to improve comprehension and retention.
Show steps
Show steps
Show steps
- Gather and review all course materials, including lectures, readings, and assignments.
- Identify key concepts and topics.
- Create a comprehensive study guide that summarizes and synthesizes the course material.
Join a study group for the course
Show steps
Collaborate with peers to enhance your understanding and retention.
Show steps
Show steps
Show steps
- Identify or form a study group with other students enrolled in the course.
- Meet regularly to discuss course materials, share insights, and work on assignments together.
Follow tutorials on deep learning frameworks
Show steps
Enhance your understanding of deep learning frameworks and their practical applications.
Browse courses on
Deep Learning Frameworks
Show steps
Show steps
Show steps
- Identify and select reputable tutorials on deep learning frameworks such as TensorFlow or PyTorch.
- Work through the tutorials and complete hands-on exercises.
Design an AI application
Show steps
Develop your understanding of AI application design through a hands-on project.
Browse courses on
AI Technologies
Show steps
Show steps
Show steps
- Identify a real-world problem that can be solved using AI.
- Research and select appropriate AI platforms and frameworks.
- Design and develop a prototype of your AI application.
- Evaluate the performance of your application.
Write a blog post or article about AI trends
Show steps
Reinforce your understanding of AI trends and their impact.
Browse courses on
AI Technologies
Show steps
Show steps
Show steps
- Research and identify key trends and developments in AI.
- Write a well-structured blog post or article that discusses these trends.
- Share your blog post or article on social media or other relevant platforms.
Career center
Learners who complete Technologies and platforms for Artificial Intelligence will develop knowledge and skills
that may be useful to these careers:
Investigador de IA
Investigador de IA
Los Investigadores de IA se dedican a investigar nuevos algoritmos y técnicas de inteligencia artificial. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará una base sólida en los principios y algoritmos de la inteligencia artificial, así como en las tecnologías de hardware y software necesarias para realizar investigaciones de inteligencia artificial.
Estudiante de Doctorado en IA
Estudiante de Doctorado en IA
Los Estudiantes de Doctorado en IA realizan investigaciones originales en inteligencia artificial. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará una base sólida en los principios y algoritmos de la inteligencia artificial, así como en las tecnologías de hardware y software necesarias para realizar investigaciones de inteligencia artificial.
Ingeniero de Sistemas Autónomos
Ingeniero de Sistemas Autónomos
Los Ingenieros de Sistemas Autónomos son responsables de diseñar y desarrollar sistemas autónomos, como vehículos autónomos y robots. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará una base sólida en los principios y algoritmos de la inteligencia artificial, así como en las tecnologías de hardware y software necesarias para construir sistemas autónomos.
Desarrollador de Software de IA
Desarrollador de Software de IA
Los Desarrolladores de Software de IA son responsables de desarrollar e implementar software para sistemas de inteligencia artificial. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará los conocimientos y habilidades necesarios para trabajar con tecnologías de hardware y software para desarrollar software de inteligencia artificial.
Ingeniero de Inteligencia Artificial
Ingeniero de Inteligencia Artificial
Los Ingenieros de Inteligencia Artificial diseñan y desarrollan sistemas de inteligencia artificial para resolver problemas complejos. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará una base sólida en los principios y algoritmos de la inteligencia artificial, así como en las tecnologías de hardware y software necesarias para construir sistemas de inteligencia artificial del mundo real.
Especialista en Implementación de IA
Especialista en Implementación de IA
Los Especialistas en Implementación de IA son responsables de implementar y mantener sistemas de inteligencia artificial. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará los conocimientos y habilidades necesarios para trabajar con tecnologías de hardware y software para implementar y mantener sistemas de inteligencia artificial.
Profesor de IA
Profesor de IA
Los Profesores de IA son responsables de enseñar e investigar sobre inteligencia artificial. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará una base sólida en los principios y algoritmos de la inteligencia artificial, así como en las tecnologías de hardware y software necesarias para enseñar e investigar la inteligencia artificial.
Ingeniero de Aprendizaje Automático
Ingeniero de Aprendizaje Automático
En el papel de Ingeniero de Aprendizaje Automático, estarás a cargo de diseñar, desarrollar y mantener modelos de aprendizaje automático. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará una base sólida en las tecnologías de hardware para el aprendizaje automático y profundo, así como en las familias de plataformas de aprendizaje automático y profundo. Este conocimiento será esencial para que puedas construir y desplegar modelos de aprendizaje automático eficaces en una variedad de aplicaciones.
Arquitecto de Soluciones de IA
Arquitecto de Soluciones de IA
Los Arquitectos de Soluciones de IA son responsables de diseñar y desarrollar soluciones de inteligencia artificial que satisfagan las necesidades específicas de las empresas. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará los conocimientos y habilidades necesarios para comprender los requisitos comerciales, diseñar soluciones de inteligencia artificial y seleccionar las tecnologías y plataformas adecuadas.
Consultor de IA
Consultor de IA
Los Consultores de IA asesoran a las empresas sobre cómo utilizar la inteligencia artificial para mejorar sus operaciones y tomar mejores decisiones. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará los conocimientos y habilidades necesarios para comprender las tecnologías y aplicaciones de la inteligencia artificial, así como para desarrollar e implementar estrategias de inteligencia artificial.
Diseñador de IA
Diseñador de IA
Los Diseñadores de IA son responsables de diseñar y desarrollar interfaces de usuario para sistemas de inteligencia artificial. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará los conocimientos y habilidades necesarios para comprender las necesidades de los usuarios, diseñar interfaces de usuario y desarrollar prototipos de sistemas de inteligencia artificial.
Emprendedor de IA
Emprendedor de IA
Los Emprendedores de IA son responsables de crear y gestionar empresas de inteligencia artificial. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará los conocimientos y habilidades necesarios para comprender las tecnologías y aplicaciones de la inteligencia artificial, así como para desarrollar e implementar estrategias de inteligencia artificial.
Gerente de Proyecto de IA
Gerente de Proyecto de IA
Los Gerentes de Proyecto de IA son responsables de planificar, ejecutar y entregar proyectos de inteligencia artificial. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará los conocimientos y habilidades necesarios para comprender los requisitos del proyecto, desarrollar planes de proyecto y gestionar equipos de proyecto.
Gerente de Producto de IA
Gerente de Producto de IA
Los Gerentes de Producto de IA son responsables de definir la hoja de ruta del producto, priorizar las características y garantizar que los productos de inteligencia artificial satisfagan las necesidades de los clientes. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará los conocimientos y habilidades necesarios para comprender los requisitos del mercado, desarrollar estrategias de productos y gestionar el desarrollo de productos de inteligencia artificial.
Científico de datos
Científico de datos
Los Científicos de Datos son responsables de recopilar, analizar e interpretar datos para ayudar a las empresas a tomar decisiones informadas. Este curso sobre Tecnologías y Plataformas para la Inteligencia Artificial te proporcionará los conocimientos y habilidades necesarios para trabajar con grandes conjuntos de datos y desarrollar modelos de aprendizaje automático para extraer información valiosa.
For more career information including salaries, visit:
OpenCourser.com/course/p8o5uw/technologies
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Technologies and platforms for Artificial Intelligence.
Provides a comprehensive introduction to deep learning architectures.
Save
Is great for background knowledge and is commonly used in academic institutions.
Provides a practical guide to machine learning with popular libraries and frameworks.
Classic textbook on reinforcement learning.
Provides a comprehensive introduction to machine learning in non-stationary environments.
Great resource for learning about deep learning with Python.
Provides a comprehensive introduction to probabilistic machine learning.
Provides a comprehensive introduction to Bayesian reasoning and machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/p8o5uw/technologies
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Effort
4 weeks
Level
Introductory
Via
Coursera
Institution
Politecnico di Milano
Instructor
Manuel Roveri
Language
English
Transcripts
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This course belongs to a
collection
called
Artificial Intelligence: an Overview. It's comprised of five courses:
- Ethics of Artificial Intelligence
- Artificial Intelligence: An Overview
- Artificial Intelligence and legal issues
- Technologies and platforms for Artificial Intelligence (viewing)
- Machine Learning: an overview
Good to know
Examines the core concepts of AI and its applications, beginning with the Internet of Things (IoT) and extending to cloud computing, embedded systems, and edge computing
Taught by Manuel Roveri, a recognized AI researcher and practitioner, this course offers a wealth of real-world knowledge
Covers a diverse range of technical topics, such as hardware technologies, machine learning platforms, and deep learning frameworks
Prepares learners for careers in AI and its various applications, providing a solid foundation for further exploration in the field
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