Thesis-based: Course-based: Project-based: Learning Type: Experiential Learning: Work-integrated Learning: Academic Load: Full-Time: Part-Time: Flex Time: Delivery Mode: Face-to-face: Fully online: Hybrid: Optional Collaborative Specializations: Artificial Intelligence: Developmental Biology: Engineering in Medicine: Environment and We would like to show you a description here but the site won’t allow blogger.com more Sep 27, · The study of systems that behave intelligently, artificial intelligence includes several key areas where our faculty are recognized leaders: computer vision, machine listening, natural language processing, machine learning and robotics. A snow dragon realistically inserted into a photograph
Artificial Intelligence | Computer Science | UIUC
Reply is preparing tomorrow's Digital Expert for dealing with a set of key technologies like Artificial Intelligence, Machine Learning and Cloud. It is a unique programme, recognized by MIUR Italian Ministry of Education, University and Research and developed in collaboration with Politecnico di Torino, to offer an elite group of highly qualified students a professional specialization in the most innovative fields of the IT sector.
The second edition of the Master's programme on Artificial Intelligence and Cloud is scheduled to start in January and 40 students will be admitted. The master thesis artificial intelligence programme is aimed at the most talented students with a degree — including those who will obtain their degree by 31 December — in Computer Engineering, Computer Science, Automation Engineering, Cybersecurity, Telecommunications Engineering or Electronic Engineering.
Are you a talented student? Reply is committed to hiring all of the admitted applicants and sponsoring the entire programme for those who accept the job offer and agree to stay for 2 years from the end of the course. Is this not enough? For one year you earn, while you learn, and you get a job too! Completed degree by 31 December — in Computer Engineering, Computer Science, Automation Engineering, Cybersecurity, Telecommunications Engineering or Electronic Engineering.
Reply will cover the participation fee I liked having the opportunity to collaborate every day with other bright and nice guys from whom I have learned a lot, both from a personal and professional point-of-view. The thing that surprised me so far is that I'm getting paid for studying, which is a very good thing to grow not only as a student but also as a community. I really enjoyed the courses I took during the Master's program, as they allowed me to get in touch with new topics such as Blockchain or Quantum Computing and dive into topics that are now part of my job.
We created a strong and cohesive group; this is most because we had a lot of knowledge sharing among us and also because of the team activities that were part of the attended courses. I was surprised by the overall availability and teaching quality from all the Reply people who took part in the lessons. I appreciated the opportunity to have hands-on practices with the support of top players in machine learning and cloud technologies.
The group of colleagues that Politecnico di Torino and Reply created was amazing, sharing daily experiences with people of different backgrounds allowed me to grow a lot. I liked the opportunity to study subjects and advanced technologies that usually university doesn't deal with, or doesn't treat in such a practical way. Base Courses will cover the main academic lessons, aimed at providing all students with a common theoretical foundation.
The topics will cover advanced database concepts, the theory and models related to AI and ML, the infrastructures to support Cloud architectures advanced programming concepts and other applicable subject matters. In conjunction with the Core Courses and the Additional Courses, master thesis artificial intelligence, the student will begin to gain work experience within work teams made up of experts in the field.
An integral part of the work activity will be the assignment of a project work on which the student will write his thesis, master thesis artificial intelligence. In-depth knowledge of the technologies that are at the basis of the major transformations taking place in all production sectors. An understanding of how these technologies can be adopted in practice to solve real-life problems.
An awareness of how these technologies are made available by major platform providers and the differences between them. The Reply methodology : to learn from our professionals based on a practical approach, adopting a distinctive working method focused on excellence and collaboration. This area of specialization allows learning the master thesis artificial intelligence related to the world of Cloud both in IaaS and PaaS shape. It will deal with the proper design of architectures and their correct deployment and management.
The course will deal initially to get the right knowledge on the main cloud provider and with the concepts of microservices architecture, containerization and hybrid clouds delivery architectures.
Solutions such as Docker, Kubernetes but also serverless technologies will be considered. The course will provide the necessary skills to effectively design a complex microservices architecture, to manage it effectively through Continuous Integration methodologies on containerized or native architectures.
Special focus will be put also on enabling technologies such as network elements and storage and databases services. The course will be practical and will be developed through a predominance of laboratory hours through which the student will have the opportunity to touch the concepts described above, as well as being able to see how they master thesis artificial intelligence implemented by major cloud providers in the market. This training area focuses on the business application of major artificial intelligence and machine learning techniques such as computer vision, natural language processing, predictive systems, and deep learning.
The training course is articulated around an in-depth study of the cognitive systems offered by the main vendors in the sector Master thesis artificial intelligence, Google, Microsoft, Oracle and their application in multiple contexts master thesis artificial intelligence use such as Image Recognition, Digital Assistants, Predictive Maintenance, Intelligent Process Automation, Recommendation systems and Smart Analytics. The specialization is based on case studies of real-life experiences: leveraging Reply's daily experience on frontier technologies, master thesis artificial intelligence, participants can study real applications of the platforms and frameworks offered by the main suppliers in the sector.
The implementation of cutting-edge algorithms and models, Deep Learning techniques and an in-depth study of Automated Machine Learning tools will go hand in hand with an approach aimed at capitalizing on the results achieved with the definition of evaluation metrics for the effectiveness of master thesis artificial intelligence solutions developed from an enterprise perspective. Technology will represent the predominant part of the path; however, a space will also be dedicated to important issues such as bias, fairness and explainability of the model, essential to bring AI to today's large companies.
In this area of specialization, students will have the opportunity to deepen the technologies and methodologies that enable the adoption of a "data-driven" approach. An initial theoretical part will provide knowledge of the main aspects like technologies Hadoop, MapReduce, Hive, Spark, etc. The course will then move to a hands-on approach with a set of exercises in which the participants will implement end-to-end data pipelines that starting from source systems implements all the transformation phases.
As a result, participants will have the possibility to understand how to ingest batch and real-time data, how to transform and organize data master thesis artificial intelligence further analysis, how to industrialize machine learning models and finally how to expose the value extracted from data. Most of the hours will be dedicated to the hands-on part and each exercise will be done on a different cloud provider in order to discover the data components made available by the vendors.
The Scientific Committee made up of members of Politecnico di Torino and Reply Group professionals, was responsible for designing the training programme and is supervising the initiative.
They will also give lectures on cutting-edge subjects such as IoT and provide labs activities on Security. Class-based training takes place at the Politecnico di Torino campus, master thesis artificial intelligence. It starts in January You can find out more about the selection process on the Politecnico website. This will start the same day as the programme, master thesis artificial intelligence. If you accept the offer, Reply will cover the cost of attending your Master's degree.
Reply is investing heavily in students accepted onto the programme. To be part of it requires strong motivation to reach your goal. You may be trying to access this site from a secured browser on the server. Please enable scripts and reload this page. Apply now.
EarnWhileYouLearn Download brochure, master thesis artificial intelligence. KEY INFO Target student. End of Enrolment Period. Recruitment and career. Time Schedule, master thesis artificial intelligence.
Application deadline on October 22nd, master thesis artificial intelligence. A mix of lectures and hands-on experiences. Politecnico di Torino academy expertise. A job in Reply from the Master beginning. Francesco Working at Cluster Reply — Milan. Muhammad Working at Storm Reply — Turin. Antonio Working at Cluster Reply — Milan. Matteo Working at Data Reply — Turin. Andrea Working at Logistics Reply — Milan. Francesco Working at Storm Reply — Turin. Sabrina Working at Power Reply — Turin.
Book a 1-to-1 meeting to learn more This is your chance to discover the Master's Degree in detail and clarify any doubts. Book now. Phone number e. I would like to receive more information:. I declare that I have read and fully understood the Privacy Notice and I hereby express my consent to the processing of my personal data by Master thesis artificial intelligence SpA for marketing purposes, in particular to receive promotional and commercial communications or information regarding company events or webinars, using automated contact means e.
SMS, MMS, fax, email and web applications or traditional methods e. phone calls and paper mail. I consent. I do not consent. The timeline of the initiative. A specialization on the key technology areas: Cloud, Data and Machine Learning.
Cloud This area of specialization allows learning the technologies related to the world of Cloud both in IaaS and PaaS shape. Data In this area of specialization, students will have the opportunity to deepen the technologies and methodologies that enable the adoption of a "data-driven" approach. Who will guide me during the learning process? Where will the programme take place? When does the programme start?
How can I apply for the Master course? Is the programme delivered in person or online? How many students will be on the programme? There are 40 places available. Do I qualify for the programme? How does the Reply job offer work? Will Reply cover accommodation costs? Is there master thesis artificial intelligence age limit? What language is the programme taught in? The entire programme is in English.
What equipment will I need? Would you like more information?
My Master Thesis Presentation - Master of AI - KU Leuven
, time: 29:42Artificial Intelligence & Cloud – Master’s Degree |
Oct 03, · I am writing my master's thesis on: The use of blockchain technology to increase human trust in Artificial Intelligence. If you know of anyone or if you are knowledgeable in the field, I would We would like to show you a description here but the site won’t allow blogger.com more Thesis-based: Course-based: Project-based: Learning Type: Experiential Learning: Work-integrated Learning: Academic Load: Full-Time: Part-Time: Flex Time: Delivery Mode: Face-to-face: Fully online: Hybrid: Optional Collaborative Specializations: Artificial Intelligence: Developmental Biology: Engineering in Medicine: Environment and
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