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Webinar infrastructure and Security for DevOps

Join from home or any location. Hybrid Cloud, Design best practices, security. Prepare for the “shift left”.

This Webinar infrastructure and Security for DevOps training offers a unique overall view of Web Infrastructure, Architecture and Security, in stead of attending multiple product specific courses. It explains the dependencies and relationships between the different components/technologies and you will learn the essentials of each component.

This is a Webinar:  with Zoom or Skype you are live connected with the instructor. You can join from home or any location that suits you.

This Webinar infrastructure and Security for DevOps training is meant for DevOps engineers and Product Owners who need more knowledge of infrastructure (hybrid cloud), design and security and be prepared for the “shift left”.

The agenda of this Webinar infrastructure and Security for DevOps is equal to the classroom version, for a complete description and agenda please see here.

This Webinar (6 sessions of 4 hours) offers the essential knowledge to understand the complete application chain.

Webinar infrastructure and Security for DevOps
Webinar infrastructure and Security for DevOps

Webinar infrastructure and Security for DevOps duration

The Webinar infrastructure and Security for DevOps training can be delivered in 6 morning/afternoon sessions or 3 days. Repetition and retrospection will ensure the students will learn and retain the information acquired..

Price

The Web Infra Academy uses two price models: per student or per training. For more information or a quotation please contact us or use the form at the end of this page.

  • Webinar – Remote/online:  1495.00 Euro per student (met Skype of Zoom)

Our courses are also offered by our global partner Global Knowledge.

Course dates Webinar infrastructure and Security for DevOps training

You are live connected with the instructor. You can join from home or any location that suits you.

New dates are planned: please contact us or use the form at the end of this page.

Series 1

Startdate 3-02-2021 – end date 19-02-2021, Webinar

  • Part 1: 3-02-2021, from 09:00 to 13:00
  • Part 2: 5-02-2021, from 09:00 to 13:00
  • Part 3: 10-02-2021, from 09:00 to 13:00
  • Part 4: 12-02-2021, from 09:00 to 13:00
  • Part 5: 17-02-2021, from 09:00 to 13:00
  • Part 6: 19-02-2021, from 09:00 to 13:00

Series 2

Startdate 14-04-2021 – end date 30-04-2021, webinar

  • Part 1: 14-04-2021, from 09:00 to 13:00
  • Part 2: 16-04-2021, from 09:00 to 13:00
  • Part 3: 21-04-2021, from 09:00 to 13:00
  • Part 4: 23-04-2021, from 09:00 to 13:00
  • Part 5: 28-04-2021, from 09:00 to 13:00
  • Part 6: 30-04-2021, from 09:00 to 13:00

Please register using the form at the end of this page.

This Web Applications, Infrastructure and Security training is also available through our partner Global Knowledge, code training GKTIWIB.

Prerequisites

Target audience

  • DevOps
  • Product Owners
  • Customer journey experts
  • IT Engineers
  • Management
  • Starting IT-specialists
  • IT staff

If you have any questions or are interested in this Web Applications, Infrastructure and Security training, please contact us or use the form below:

    Your Name (required)

    Your Email (required)

    Your Telephone number (optional)

    Your Message

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    Webinar Introduction AI and Machine Learning

    From home or any location you want. A kickstart for AI and ML: learn the essentials of AI/ML and Data Science

    This Webinar Introduction AI and Machine Learning is an ideal start for everybody who wants to start with Artificial Intelligence and Machine Learning.

    This a webinar: live connected to the instructor using Zoom/Skype, from home or any location that suits you.

    AI and Machine Learning is one of the most exciting, innovative and disruptive developments in digital technology.

    The agenda of the Webinar Introduction AI and Machine Learning is equal to the classroom version, please see here.

    In this training you will learn the essential principles of Machine Learning and Data Science. You will learn about the latest tools and means available which will enable you and your employees to start right away with Machine Learning.

    Webinar Introduction AI and Machine Learning
    Webinar Introduction AI and Machine Learning

    Course duration Webinar Introduction AI and Machine Learning

    This Webinar Introduction AI and Machine Learning training is offered in one session of 4 hours.

    Price

    The Web Infra Academy uses two price models: per student or per training. For more information or a quotation please contact us or use the form at the end of this page.

    • Webinar – Remote/online:      345,00 Euro per student (using Skype or Zoom)

    Course dates Webinar – remote/online

    You are live connected with the instructor. You can join from home or any location that suits you.

    New dates are planned: please contact us or use the form at the end of this page.

    Session 1

    • 24-03-2021, 09:00 – 13:00 (CET), webinar

    Session 2

    • 16-06-2021, 09:00 – 13:00 (CET), webinar

    Please register using the form at the end of this page.

    This AI and Machine Learning training  is also offered by our partner Global Knowledge,  code training GKAIML.

    Voorkennis

    Target audience

    For professionals who want to start with AI and ML.


    If you have any questions or are interested in this course, please contact us or use the form below:

      Your Name (required)

      Your Email (required)

      Your Telephone number (optional)

      Your Message

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      Webinar IT Essentials (for non-IT professionals)

      Join from home or any location that suits you: the basics of IT including security and the latest trends

      This is a Webinar IT Essentials:  with Zoom or Skype you are live connected with the instructor. You can join from home or any location that suits you.

      In this day and age we can’t live without IT. IT is essential for a modern business and IT is of great influence on our lives.

      The agenda of this webinar IT Essentials is equal to the classroom version, please see here.

      IT professionals tend to speak their own language, which makes it very hard for outsiders to understand what they are talking about. This can be frustrating to say the least. In this IT Essentials training you will learn the language and terminology used by IT professionals.

      Webinar IT Essentials
      Webinar IT Essentials

      This IT Essentials training explains the basics of Information Technology: from raw data to information. Latest trends in IT like the Cloud, Big Data and IoT (Internet of Things) are explained.

      During the training you will receive a soft copy of the slides, an IT glossary and PDF with best practices.

      Webinar IT Essentials duration

      The IT Essentials webinar is offered in four sessions of four hours, from 09:00 until 13:00.

      Price

      The Web Infra Academy uses two price models: per student or per training. For an on-site classroom training and a quotation please contact us or use the form at the end of this page.

      • Webinar:                                    1595.00 Euro per student (using Skype or Zoom)

      Our courses are also offered by our global partner Global Knowledge.

      Course dates Webinar IT Essentials

      You are live connected with the instructor. You can join from home or any location that suits you.

      New dates are planned: please contact us or use the form at the end of this page.

      Series 1

      Startdate 13-01-2021 – end date 22-01-2021, virtual classroom/webinar and location Nieuwegein, Netherlands

      • Part 1: 13-01-2021 from 09:00 to 13:00
      • Part 2: 15-01-2021 from 09:00 to 13:00
      • Part 3: 20-01-2021 from 09:00 to 13:00
      • Part 4: 22-01-2021 from 09:00 to 13:00

      Series 2

      Startdate 10-03-2021 – end date 19-03-2021, virtual classroom/webinar

      • Part 1: 10-03-2021 from 09:00 to 13:00
      • Part 2: 12-03-2021 from 09:00 to 13:00
      • Part 3: 17-03-2021 from 09:00 to 13:00
      • Part 4: 19-03-2021 from 09:00 to 13:00

      Series 3

      Startdate 02-06-2021 – end date 11-06-2021, virtual classroom/webinar

      • Part 1: 02-06-2021 from 09:00 to 13:00
      • Part 2: 04-06-2021 from 09:00 to 13:00
      • Part 3: 09-06-2021 from 09:00 to 13:00
      • Part 4: 11-06-2021 from 09:00 to 13:00

      E-learning or Blended learning

      Start now, anywhere, anytime using our App.

      This course is also available as an eLearning module. On our eLearning platform you are offered a number of movies and optional questions. This is not interactive, however you can combine our eLearning module with an optional Skype or Zoom session (blended).

      You can start the eLearning module online using your desktop, laptop or on any device using our App.

      eLearning
      eLearning

      Prerequisites

      • None

      Target audience

      Non IT professionals or those working closely with IT needing more technical knowledge. Business managers, product owners, auditors etc.


      If you have any questions or are interested in this course, please contact us or use the form below:

        Your Name (required)

        Your Email (required)

        Your Telephone number (optional)

        Your Message

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        IT essentials Training

        Covering the basics: terminology, cloud, security, best practices

        In this day and age we can’t live without IT. IT is essential for modern, large enterprises as well as vital for small to medium businesses. And IT is of great influence on our everyday life.

        IT is a huge field of expertise, with its own terminology/language, its own organization, processes, functions and roles.

        Therefore we offer two IT essentials courses:

        1. IT essentials for non IT
        2. IT essentials for SME
        3. IT essentials for at Home

        The first training is meant for those working with a large IT department, with many different software solutions and with an IT department that  probably develops their own software (or outsource). Banks, insurance companies, telecom companies, etc., almost any large enterprise has a big IT department.

        The second training is meant for small to medium enterprises with a limited number of software solutions, that don’t develop their own software. But many SME’s just as much rely on IT for continuity and growth.

        The third training is meant for those who want to:

        • understand how a computer works and how the internet works
        • protect their computer and data at home from virusses and hackers
        • protect their privacy on the internet

        The differences between the three IT essentials courses are shown in this table:

        IT essentials
        IT essentials differences

        IT essentials training for SME

        Make your IT more productive  and more secure, helps you with the acquisition of new software, prevent data loss 

        If you have either a small or medium business, without IT you cannot grow and probably not operate.

        This IT essentials training for SME helps you to make your IT more productive  and more secure, helps you with the acquisition of new software and helps you to prevent problems with IT like data loss (or ransomware). This IT essentials training for SME ensures you can ask the right questions when you want to hire an IT company or consultant.

        IT essentials training for SME
        IT essentials training for SME

        You probably use an IT system for your customer administration (CRM), accounting, (management of) your website, digital advertisement (SEO) etc. You must ask yourself the question how much damage your business can sustain if these systems crash or how much money it will cost you if you loose your customer data…

        A more extended version of this training is also available. To see an overview of the differences please click here.

        This IT essentials training for SME answers questions like:

        • What are the most important requirements for new software? Which requirements must be stated in the contract / SLA?
        • What is a network, a firewall, a server?
        • Should my software run in the cloud or locally? What is the cloud?
        • How do I prevent a hacker stealing or blocking my data and software?
        • What is the best way to secure and backup my data?
        • GDPR: what is it and how does it impact your business?
        • How can I ensure my software is up-to-date?
        • How can I ensure that my software can “communicate”, integrate with other software?
        • What is digital advertising and how can I use it?

        During the training you will receive a soft copy of the slides, an IT glossary and a checklist for software acquisition.

        IT essentials training for SME duration

        The classroom (and webinar) training is delivered in one day. For planning see below.

        Price

        The Web Infra Academy uses two price models: per student or per training. For an on-site classroom training and a quotation please contact us or use the form at the end of this page.

        • Classroom:                                  595,00 Euro per student
        • Webinar:                                      395.00 Euro per student (with Skype or Zoom)

        Course dates Classroom training

        Training 1

        20-04-2020, from 09:00 to 17:00, location Nieuwegein

        Session 2

        08-06-2020, from 09:00 to 17:00, location Nieuwegein

        Prerequisites

        • None

        Target audience

        SME, Non IT professionals.

        Agenda IT essentials training for SME

        • IT basic terminology and principles (Server, network, IP address, firewall, database, batch – online etc.)
        • The Cloud. What are the advantages of the Cloud? When should I NOT choose for the cloud?
        • Backup / restore and high availability (RTO recovery time objective)
        • Software requirements: performance, manageability, etc.
        • IT security essentials: authentication, MFA (multi factor authentication), encryption/SSL, patch management, networksegmentation, virus scanners
        • The new data privacy law GDPR: impact on your company
        • Digital advertising: SEO (Search Engine Optimalization)
        • Checklist software acquisition / hiring IT consultants

        If you have any questions or are interested in this course, please contact us or use the form below:

          Target audience (required)

          Desired content (required)

          Your Name (required)

          Your Email (required)

          Your Telephone number (optional)

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          Artificial Intelligence (AI) and Machine Learning (ML)

          Artificial Intelligence (AI) and Machine Learning (ML) are perfect examples of disruptive innovation. Innovation is an important driver for a successful enterprise.

          AI and ML can be applied in almost any organization. Large investments are no longer necessary to start an AI / ML project. However, 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.

          With the rise of AI first companies (Google, AWS, Azure) 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.

          The Web Infra Academy offers several AI and ML courses:

           

          The Web Infra Academy is a participant of the NL AI Coalition. The NL AIC is a public-private partnership that promotes the development of responsible AI.

           

          Masterclass AI and Machine Learning for Healthcare

          The essential principles of Machine Learning and Data Science for healthcare including the latest tools

          This masterclass AI and Machine Learning for healthcare training provides in depth knowledge for healthcare specialists and IT specialists who want to start with Artificial intelligence (AI) and Machine Learning (ML).

          Especially for Healthcare, Machine Learning is one of the most promising, innovative and disruptive developments in digital technology. Artificial intelligence has seen rapid innovations over the last few years. If used properly, it can empower care providers to make better diagnoses, provide better patient care, and improve access to healthcare.

          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. Our AI and ML courses are meant specifically for the domain specialists and IT specialists.

          One of the goals is to enhance the care provider’s decision-making. It’s very important to remember that the AI is not making the decision: AI empowers physicians with additional information that can help them more quickly and accurately diagnose particular conditions. Despite vendor enthusiasm, AI is still very much in its infancy, and providers should think of these tools as clinical support capabilities rather than machines that can make medical decisions completely on their own: keep the human in the loop.

          AI and ML implemented in healthcare is maybe the best example for Friendly AI: taken from transcript of the Global Health Privacy Summit ‘Artificial intelligence and Ethics’:

          There are between 400 million and 2 billion people who don’t have access to healthcare or sanitized facilities. Whether it’s to lower the costs of healthcare or whether it’s to literally make healthcare ubiquitous so that all of humanity can participate in the opportunity to receive care, machine learning is somehow essential to this.

          Just some of the use cases covered in this masterclass AI and Machine Learning for healthcare:

          • Clinical Decision Support and Predictive Analytics: Identifying and addressing risks, generate patient-specific assessments or recommendations.
          • Medical Imaging: Machine learning can supplement the skills of human radiologists by identifying subtler changes in imaging scans more quickly, potentially leading to earlier and more accurate diagnoses.
          • Voice-to-Text Transcription/NLP:  Natural language processing (NLP) can ease the transfer of information into electronic health records (EHR) and can make sure that we have the most accurate data fed into the EHR system
          • Cybersecurity: Trying to keep up with cyber-issues is a never-ending battle. Patient privacy are critical concerns for every healthcare provider and intelligent algorithms may be the best way to tackle cyber threats, for example reduce the rising threat of ransomware.

          In this training you will learn the essential principles of Machine Learning and Data Science. You will learn about the latest tools and means available which will enable you start a ML project and setup a framework within your organization. You will learn about the specific concerns and opportunities in the healthcare industry.

          This masterclass AI and Machine Learning for healthcare will answer questions like:

          • What is AI, ML and Deep Learning?
          • Why should I start now with an AI and ML project?
          • What are the first steps to start an AI/ML project?
          • What is data governance in healthcare, how can I secure and use my data efficiently?
          • How can I make my Big data Smart data in the healthcare industry?
          • What are the most popular algorithmes and how can I evaluate and score a ML model?
          • Which tools are available ?
          • What are the dangers and pitfalls of AI and ML?
            • What is Bias?
            • How to avoid the “black box”
          • What are the ethical concerns?

          After attending this masterclass AI and Machine Learning for healthcare  you you can start directly with AI / ML and you will have the knowledge to start a Machine Learning project in the healthcare industry. You will receive references (books, courses, online resources) that enable you to increase your knowledge of AI and Machine Learning within the healthcare industry.

          You can find a detailed agenda at the end of this page.

          Impatient? Read the excellent report from the British NHSx:  Artificial Intelligence: How to get it right. Putting policy into practice for safe data-driven innovation in health and care.

          Masterclass AI and Machine Learning for healthcare
          Masterclass AI and Machine Learning for healthcare

          Course delivery

          This masterclass AI and Machine Learning for healthcare training is available in the following formats:

          • Classroom sessions (to be planned in the Netherlands and Belgium or on location).
          • Webinar: Online classroom / virtual classroom: you can join live from anywhere in the world using Skype or Zoom.

          An E-learning module (as is available for our IT Essentials for non-IT) is under development.

          Course duration

          Two and a half days.

          Price

          The Web Infra Academy uses two price models: per student or per training. For an on-site classroom training and a quotation please contact us or use the form at the end of this page.

          • Classroom:           1495,00 Euro per student
          • Remote/online:  1095.00 Euro per student (using Skype or Zoom)
          • E-learning:            under development
          • Blended:                under development

          Course dates classroom training

          Series 1

          Startdate 15-06-2020 – end date 17-06-2020, location Nieuwegein, The Netherlands

          Series 2

          Startdate 23-09-2020 – enddate 25-09-2020, location Nieuwegein, The Netherlands

          Course dates remote/online

          Series 1

          Startdate 29-06-2020 – end date 01-07-2020, location: online (Skype or Zoom)

          Time: in consultation with participants

          Series 2

          Startdate 30-09-2020 – end date 02-10-2020, location: online (Skype or Zoom)

          Time: in consultation with participants

          Please register using the form at the end of this page.

          Prerequisites

          • None.

          Target audience

          Healthcare specialists, healthcare managers, healthcare IT specialists

          Agenda masterclass AI and Machine Learning for healthcare

          Day 1

          • Examples of applied Machine Learning in healthcare
          • What is AI en Machine Learning?
          • History of AI and Machine Learning
          • Terminology AI and Machine Learning (Deep learning, General AI, Narrow AI, Friendly AI, Singularity etc.)
          • Why now: the 7 “key enablers”
          • Relationship Big Data, IoT and AI/Machine Learning
          • Exercise one: doing your first prediction using Dataiku
          • Essentials of Data Science:
            • the bell curve, standard deviation, Z-score etc.
            • Data governance: bringing data silo’s together, data formats healthcare (HL7 FHIR etc.)
            • Visualization
            • Feature engineering
            • Simpson’s paradox
          • Exercise two: data selection and feature engineering using Azure ML
          • The potential of AI and Machine Learning in healthcare
          • Basic methods for Machine Learning (supervised learning, unsupervised learning, deep learning etc.)

          Day 2

          • The most popular Machine Learning algorithms
          • Exercise three: binomial classification
          • Training your model (K-fold cross test)
          • confusion matrix, Accuracy, precision, recall, ROC, UAC
          • Exercise four: predicting a value
          • R2 and scatter plots
          • Overfitting and regularization
          • Exercise five: clustering
          • Silhouette
          • Variable importance: RFM
          • Natural Language Processing (NLP)
          • Types of data: matrix, images-tensors, text-corpus
          • Word frequency, Topic modelling, sentiment analysis

          Day 3

          • Neural networks
          • Exercise six: image recognition
          • Convolutional neural networks
          • The most popular tools for Machine Learning
          • AutoML
          • Risks and ethics of AI and Machine Learning (Bias)
          • Data security: GDPR, depersonalization/masking, encryption and MFA
          • How do I start a successful Machine Learning project
          • How do I incorporate Machine Learning in my organization
          • Resources for learning

          If you have any questions or are interested in this course, please contact us or use the form below:

            Your Name (required)

            Your Email (required)

            Your Telephone number (optional)

            Your Message

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            eLearning, Webinar and Blended

            (Nederlands) Een gebruikersvriendelijk LMS, multi-device en met integratie mogelijkheden

            The Web Infra Academy offers webinars, eLearning modules, classroom training and Blended learning.

            An eLearning module is not interactive and a webinar is.

            An eLearning module consists of a series of movies (approx. 10 min. each) and optional questions, hosted on our state of the art Learning Management System (LMS). You can study anywhere, anytime : we also offer an App for your mobile phone and tablet. You will receive a soft copy of the material (including links).

            Click here to go directly to our Learning Management System. Or watch a preview on YouTube here.

            We offer the following eLearning modules:

            Webinar IT Essentials

            Our eLearning platform offers a rich user experience and supports:

            • multi-device: an App is available for iOS and Android
            • Integration with the intranet (with custom look and feel of your company)
            • Interaction between the students
            • Different forms of questions and exams
            • online certificates

            Blended Learning

            The online courses can be combined with a classroom session or a Skype or Microsoft Teams meeting.

            It is also possible to combine an eLearning module with one of the other courses offered by the Web Infra Academy.

            Contact us for more information.

            Introduction AI and Machine Learning

            This training is a kickstart for Machine Learning. You will learn why now is the time to start with Machine Learning.

            This introduction AI and Machine Learning training provides a  kickstart for everybody who wants to start with Machine Learning.

            This training is available as a classroom training as well as a webinar: live connected to the instructor using Skype or Zoom.

            AI and Machine Learning is one of the most exciting, innovative and disruptive developments in digital technology.

            In this training you will learn the essential principles of Machine Learning and Data Science. You will learn about the latest tools and means available which will enable you and your employees to start right away with Machine Learning.

            For years Machine Learning was the strict domain of specialists of Harvard etc. An enormous investment was needed to start a Machine Learning project, in knowledge and hardware. Now complex algorithms (open source code libraries) and user friendly (graphical) tools like Azure Machine Learning(ML), AWS Sagemaker, IBM Watson etc. are available.

            Innovation is an important driver for a successful enterprise. More and more businesses enter new markets by using data and information hidden within their organization.

            In IT “adaptive” is the buzzword.

            To reduce costs of IT or to arm your IT against Advanced Persistent Threats (APT) or to manage thousands of Microservices and containers, a dynamic, smart, solution is vital. Think of Self Healing and UEBA (User Entity Behaviour Analysis).

            The IoT produces a huge amount of data, and this amount will only increase. This, combined with cheap storage in the Cloud and user friendly ML tools, enables you to start now with Machine Learning.

            After attending this AI and Machine Learning training you will have the basic knowledge of Machine Learning and know which tools are available to start directly with Machine Learning. You will receive references (books, courses, online resources) that enable you to increase your knowledge of Machine Learning.

            You can find a detailed agenda at the end of this page.

            AI and Machine Learning
            AI and Machine Learning

            Course duration

            This AI and Machine Learning training is offered in one session of 4 hours.

            Price

            The Web Infra Academy uses two price models: per student or per training. For more information or a quotation please contact us or use the form at the end of this page.

            • Classroom:                                  495,00 Euro per student
            • Webinar – Remote/online:      345,00 Euro per student (using Skype or Zoom)
            • E-learning                                    under development
            • Blended                                        under development

            Course dates classroom training

            • 28-09-2022, classroom/virtual
            • 07-12-2022, classroom/virtual
            • 10-03-2023, classroom/virtual
            • 03-07-2023, classroom/virtual

            Course dates Webinar – remote/online

            Session 1

            • 10-04-2020, time will depend on participants, location: online.

            Session 2

            • 26-06-2020, time will depend on participants, location: online.

            Please register using the form at the end of this page.

            This AI and Machine Learning training  is also offered by our partner Global Knowledge,  code training GKAIML.

            Voorkennis

            Target audience

            Business managers, Product Owners, IT managers, architects and designers, DevOps engineers, IT specialists

            Agenda Introduction AI and Machine Learning training

            • What is AI en Machine Learning?
            • History of AI and Machine Learning
            • Terminology AI and Machine Learning (Deep learning, General AI, Narrow AI, Singularity, Friendly AI etc. etc)
            • Why now: the 7 “key enablers”
            • Relationship Big Data, IoT and AI/Machine Learning
            • Basic knowledge Data Science
            • The potential of AI and Machine Learning
            • Basic methods for Machine Learning (supervised, unsupervised, deep learning etc.)
            • Which code libraries (algorithms) are available for the different Machine Learning methods
            • Which tools are available for Machine Learning
            • Examples of applied Machine Learning
            • How can I apply Machine Learning in my organization
            • Risks and ethics of AI and Machine Learning: Bias etc.
            • Resources for learning

            If you have any questions or are interested in this course, please contact us or use the form below:

              Your Name (required)

              Your Email (required)

              Your Telephone number (optional)

              Your Message

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