The Web Infra Academy is a training provider that delivers IT and AI & ML courses in four formats: Classroom, Webinar/remote classroom, E-learning and blended. The company’s mission is to make AI & ML and IT accessible and understandable for everyone and to promote the use of AI and ML to improve the quality of life: the focus is on Friendly AI.

The Web Infra Academy now offers two AI and ML courses:

• Introduction AI and Machine Learning

For those who want to start with AI and Machine learning, covering the basics of data science, AI and Machine Learning techniques.

• Masterclass AI and Machine Learning for Healthcare

For healthcare specialists and IT specialists who want to implement AI and Machine Learning in their organization. It offers in-depth knowledge of the latest developments and tools, including hands-on exercises. This training covers the ethics and the specific concerns and opportunities for the healthcare industry. After attending this course, the participants know how to start a safe, secure and efficient AI and Machine learning project.

Both are offered as classroom training and as webinar/remote classroom (E-learning modules under development). A masterclass for marketing and a more generic masterclass is under development.

AI and ML is an excellent example where close cooperation between the domain specialist (the person knowing and understanding the data, for example, the healthcare specialist), the data scientist and IT is crucial for a successful implementation. AI and ML courses from the Web Infra Academy are meant specifically for the domain specialists and IT specialists.

An Extraordinary Leader

Marcel Punselie is the CEO and founder of the Web Infra Academy and responsible for the AI and ML portfolio. He has a background in IT, IT security and data science.

Marcel believes AI and ML are the most interesting, innovative and disruptive developments in digital technology. Apart from making AI and ML understandable and accessible to everybody and informing about the huge opportunities of this technology, he wants to be clear about the pitfalls as well. According to him, ethics, accountability (keeping a human in the loop) and security are strong focal points.

By attending conferences (like the Intelligent Health UK 2020 conference), Web Infra Academy stays up to date about the latest developments of AI in healthcare and tries to create a network to share knowledge in this specific domain.

Making AI and ML Understandable for Everyone

The Web Infra Academy has years of experience in explaining complex (IT and IT security) subjects to a broad audience using examples and case histories. The company focuses on breaking down the walls of confusion between engineers and users and between the different domain experts/engineers.

The Web Infra Academy instructors are not full-time instructors but are working in the IT industry and AI and ML domain and have hands-on experience. Especially in AI and ML, it is of utmost importance that the domain expert can communicate and cooperate with the data scientist and IT department. The academy’s courses explain AI and ML in a language all participants can understand. It enables all participants to speak the same language and understand the importance of smart communication and cooperation. By focusing on a specific domain like healthcare, Web Infra Academy can offer added value for those working in these domains.

Educating Students Through Comprehensive Masterclass

The students will learn about the latest AI and ML implementations and tools available. In the Web Infra Academy masterclass, the students will use some of the most popular Machine Learning tools to prepare data, create models and do predictions. The company will provide a list of the best websites, upcoming conferences and online courses available.

Striving to Develop Friendly AI

By using the terms everyone can understand, the Web Infra Academy brings AI and ML to a large audience. The company explains why now is the time to start with AI and ML and a large investment is not needed. By showing examples and uses cases, Web Infra Academy exhibits that AI and ML are already present in our everyday life. The company also shows that some ML algorithms (like image recognition) are outperforming humans while providing a realistic view by pointing out the problems of bias, ethics and accountability and the importance of keeping a human in the loop. By creating courses for specific domains, the company hopes it can promote the implementation of ‘Friendly AI’.

The Challenging AI/ML Myths Across Industry

According to Marcel, the idea that AI and ML is the sole domain of experts from Harvard is hard to overcome, as well as the idea that starting an AI and ML project requires a considerable investment: in knowledge, hardware and software.

Stimulating New-Age Technology Revolution

In the training session, Web Infra Academy explains the seven key enablers essential for the popularity of AI and ML: Availability of large datasets and the IoT; Accessible visualizations & user-friendly tools; The hybrid cloud (and the existence of AI first companies); Cheap storage; Open source ML algorithms; Powerful hardware/processors; and Ability to distribute processing power.

Invaluable Feedbacks and Recognition

The Web Infra Academy courses are offered by its global partner Global Knowledge, one of the largest training providers in the world and Springest, one of the biggest online training providers in the Netherlands.
Here are some of the reviews of the courses that are published in Springest:

“Good introduction/overview of AI and Machine Learning. Good start for the next steps in this area in terms of knowledge… Marcel uses a good mix of theory and practical examples so that this comes across well.” – Harald van Biezen, Account Director

“The course was really interesting and helpful. It helped to refresh the basic ideas and to know more about the things we are currently doing in our squad like DR, n/w segmentation, IPC, etc… Thank You.” – Soumya Kuzhikkattile, Operations Engineer

The Future of AI-Powered Education

Marcel believes that with the rise of AI-first companies offering ready to use ML models and tools for different problems, and the increase of smart, AI-enabled edge devices, the demand for AI and ML education will grow evenly.