AI revolution, redefining and reinventing tech talent (part 2)
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Today we continue with the analysis of how the AI revolution is redefining the Talent framework in the IT environment, if in the first article we focused on the new professional profiles, in this second part we will emphasize how internationally recognized certifications are being created that support the knowledge of professionals and what regulated training is accessible to future AI and Data professionals. In the third, and last chapter of this series, we will review the certifications oriented to organizations and companies, which validate their expertise, security and ethics when applying AI and which are also having an exponential growth within the AI revolution.Professional certifications
In everything related to AI and its applications, the European environment is a step behind the USA, in the aspect of professional certification as well, the most globally recognized professional certifications are born from many of the big players that are driving from minute 1 this revolution and that, unfortunately, are not European. We expose certifications with an important path and a globally recognized prestige, not all of them are here, but this would be our first selection. Some of them complement in an ideal way the formal training that we will analyze later, on the other hand, as is well known: there are already many options for training in all fields of AI and Data that can be a good previous and more self-taught step before investing time and money in some of the options presented here, in the main cloud training platforms the impact of AI and Data is, today, simply brutal:
Certifications in Artificial Intelligence and Data Science
Certified Artificial Intelligence Practitioner (CAIP)
- Organization: CertNexus
- Designed for professionals who wish to demonstrate their skills in the design, development and management of artificial intelligence solutions.
Google Professional Machine Learning Engineer
- Organization: Google Cloud
- Validates a professional’s ability to design, build and manage machine learning models on Google Cloud Platform.
Microsoft Certified: Azure AI Engineer Associate
- Organization: Microsoft
- It is aimed at AI engineers who use Azure Cognitive Services, Azure Machine Learning and Knowledge Mining to design and implement AI solutions in Microsoft Azure.
IBM AI Enterprise Workflow Certification
- Organization: IBM
- Offered in partnership with Coursera, this certification covers the full cycle of artificial intelligence application development, from data preparation to implementation.
TensorFlow Developer Certificate
- Organization: TensorFlow (Google)
- Aimed at developers who wish to demonstrate their competence in the use of TensorFlow for the development of machine learning and deep learning models.
Data Science Certifications
Certified Analytics Professional (CAP)
- Organization: INFORMS
- Validates the knowledge and ability to apply advanced analytical principles and solve complex business problems.
SAS Certified Data Scientist
- Organization: SAS
- Designed for professionals who want to demonstrate their skills in data manipulation, advanced analytics and implementation of predictive models.
Cloudera Certified Professional Data Engineer (CCP Data Engineer)
- Organization: Cloudera
- Validates skills to develop data processing solutions and create data workflows using Cloudera technologies.
AI Ethics Certifications
AI Ethics and Governance Certification
- Organization: The Alan Turing Institute
- It covers ethical and governance issues in the development and implementation of AI systems.
Regulated training
We analyze here only the available in the European environment, the available in the USA would give us for another article. The power of this training at international level is very important due to the fact that the educational institutions that promote it have a very high prestige. It should be noted that, unlike the professional certifications we analyzed at the beginning of this article, they have a more transversal approach, ranging from technical aspects to AI application ethics. It is foreseeable that this offer will increase exponentially in the coming years, but today we already have high training possibilities that guarantee knowledge of AI and Data Science. From a professional point of view, the employability of a professional with this training is practically immediate. We highlight here some of the most outstanding options:
Regulated Training in Spain
University degrees
Degree in Artificial Intelligencel
- Polytechnic University of Madrid (UPM): Offers a degree in Artificial Intelligence with a multidisciplinary approach, ranging from programming to AI ethics.
Degree in Data Science and Artificial Intelligence
- Carlos III University of Madrid (UC3M): Combines data science with artificial intelligence, providing a solid foundation in mathematics, statistics and programming.
Master’s degrees
Master’s Degree in Artificial Intelligence
- Polytechnic University of Catalonia (UPC): This program focuses on advanced AI techniques, machine learning and natural language processing.
Master’s Degree in Data Science and Computer Engineering
- University of Granada (UGR): It offers training in data science, big data and artificial intelligence.
Master in Artificial Intelligence
- National University of Distance Education (UNED): Distance learning program that covers from theoretical fundamentals to practical applications of AI.
PhD´s
PhD in Artificial Intelligence
- Polytechnic University of Madrid (UPM): Focused on advanced research in AI, covering areas such as deep learning, computer vision and robotics.
Regulated Training in the European Union and UK
University degrees
BSc in Artificial Intelligence
- University of Amsterdam (The Netherlands): English-language program that provides a solid foundation in algorithms, machine learning and AI ethics.
BSc in Data Science and Artificial Intelligence
- Maastricht University (The Netherlands): It combines data science and AI, with a focus on practical applications and interdisciplinary projects.
Master’s degrees
Master in Artificial Intelligence
- KU Leuven (Belgium): This master’s degree covers a wide range of topics in AI, including machine learning, robotics and natural language processing.
MSc in Artificial Intelligence
- University of Edinburgh (United Kingdom): One of the most recognized programs in AI, with a focus on research and practical applications.
EIT Digital Master School: MSc in Data Science
- European Institute of Innovation and Technology (various European universities): It offers a combination of data science and AI, with cross-university mobility and a focus on innovation and entrepreneurship.
PhD´s
PhD in Artificial Intelligence
- University of Cambridge (United Kingdom): Focused on cutting-edge AI research, with projects in areas such as computer vision, natural language processing and AI ethics.
PhD in Machine Learning
- ETH Zurich (Switzerland): This program focuses on advanced research in machine learning, with applications in various scientific and technological areas.
Specialized Courses and Certifications
European Association for AI (EurAI)
- It offers certifications and specialized courses in AI, including continuing education programs for professionals.
Coursera & edX
- Platforms that collaborate with European universities to offer courses in AI, data science and machine learning, many of which are accredited.
AI4EU Academy
- European Union initiative to provide AI training through online courses and educational resources.
European Union Initiatives and Programs
AI4EU (Artificial Intelligence for Europe)
- European platform for AI collaboration, including training, research and policy development. AI4EU Academy offers educational resources and training programs in AI.
Horizon Europe
- EU research and innovation framework program that funds AI projects and training, promoting collaboration between academic, industrial and governmental institutions.
