XML Training Classes in Munich, Germany

Learn XML in Munich, Germany and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current XML related training offerings in Munich, Germany: XML Training

We offer private customized training for groups of 3 or more attendees.

XML Training Catalog

cost: $ 790length: 2 day(s)
cost: $ 1290length: 3 day(s)
cost: $ 1290length: 3 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 1190length: 3 day(s)
cost: $ 2090length: 5 day(s)
cost: $ 790length: 2 day(s)
cost: $ 1590length: 4 day(s)
cost: $ 1290length: 3 day(s)
cost: $ 790length: 2 day(s)
cost: $ 390length: 1 day(s)
cost: $ 790length: 2 day(s)

Course Directory [training on all levels]

Upcoming Classes
Gain insight and ideas from students with different perspectives and experiences.

Blog Entries publications that: entertain, make you think, offer insight

The World Wide Web is a fun place to connect with old friends, make new ones, and stay involved in social media. It can also be a dangerous place for those who don’t know how to be safe on the web. Children, teenagers, and young adults with Asperger’s syndrome are especially vulnerable to fraud, sexual predators, and other online dangers.

What is Asperger’s Syndrome?

Asperger’s syndrome is a pervasive developmental disorder on the autistic spectrum. Children, teenagers, and adults with this developmental disorder are not sick. They’re brains are wired differently from people who are not on the spectrum. In the autistic community, people who are not on the spectrum are referred to as neurotypical.

The reason Internet dangers are so much more of a risk for people with Asperger’s syndrome is because of the symptoms associated with it. The best way to describe Asperger’s to someone who is not familiar with it is to call it a social learning disability. The parts of the brain responsible for reading facial expressions, body language, and other social cues do not function properly.

 
Technology is changing all the time, and the jobs that are associated with technology are changing as well. People that are looking at careers in technology will see some jobs that are being phased out as others increase in popularity. This means that people that are interested in tech jobs should be vigilant in researching those opportunities that are growing in demand.
 
A Dying Breed of Legacy Systems
 
The mainframe programmers i.e., COBOL, have been getting phased out for years, and are reaching retirement age. The demand for these skills are at an end of an era as more technology surfaces with needs for app development and cloud migration. These jobs will be phased out and are being replaced with developers that are knowledgeable in more object-oriented programming positions such as Java, C#, and etc. 
 
Programmers / Analysts
 
Professionals that work in software development, can find work in a number of different tech careers. People that know how to program, particularly in object oriented programming, can expect to be employed and in demand for some time to come. The salaries for programmers range from $50k – millions, depending on the skillsets one has mastered. Like any other profession, one can opt to learn just enough to get by or hone in on a discipline currently in demand and master it, such as data analysts, machine learning analyst and cloud migration specialists.  
 
 
Tech Support for Portable Devices
 
The healthcare industry is seeing a rise in jobs in Information Technology because more hospitals are going paperless. There is a great demand for people that have the ability to work with portable devices because this is what many doctors and nurses will be using as they move away from the long paper trail that has been created from patients. People that have the ability to configure and troubleshoot portable devices like tablets and phones are able to support the applications for these devices will be in high demand. In this case, learning programming languages such a C++ is the perfect route to go in. 
 
 
Technology Trainers 
 
There will always be a need for someone that can learn, utilize and teach proprietary programs to others. Internal proprietary technology will need to be updated which means that technology trainers are expected to be current in the knowledge base for  companies that are utilizing this software. People that are in the training field, will need to stay updated with new technology, grasp new concepts quickly and be able to teach it efficiently. As more companies take hold of proprietary programs, it becomes important for software application trainers to be put in place to teach this technology. 
 
Printer Support Jobs Dwindle
 
People that are working in the technology field of printer support will need to consider looking at other opportunities because some of these printer support jobs will be phased out.  There is a reason for this. More jobs are becoming phased out in the world of printer technology because fewer people are using printers. It has become easier to read the documents and transfer these documents to other workers inside an organization. This means that less money is being spent on printers. Even less money is being spent on printer support. People that have acquired jobs where their primary role is to work in printer repair will see a decline in the number of people that are needed for these types of positions. It becomes a lot less feasible to have printer repair people in place when there is no printer in the office.
 
 
Graphic Design
 
Technology also holds a special place for those that have the experience in graphic design. Websites and social media really engage people in visual art and people that know how to display it on web pages have a plethora of jobs. This leaves this field wide open for those that know about design structures and editing images that can result in eye catching imagery.
 
Wan/ Lan Management
 
One big area that offers an array of different jobs is the area of wide and local network router and switch management. People that are proficient in programming switches and building networks can get themselves a number of jobs dealing with the network topology. Tech careers are booming when it comes to this type of field because many people do not have this experience. They may know how to set up computers, but they may not have any idea about what to do if the network connection is no longer working properly.
 
People that know how to configure switches for networks and troubleshoot these issues with network connectivity will have a wide range of geographical locations that they connect together to build one network for a business.

The Zen of Python, by Tim Peters has been adopted by many as a model summary manual of python's philosophy.  Though these statements should be considered more as guideline and not mandatory rules, developers worldwide find the poem to be on a solid guiding ground.


Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!

Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.

The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention. 

Impact on Existing and Emerging Markets

The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations. 

General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.

Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent. 

Emerging markets and industries

By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.

Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.

A warning

Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.

training details locations, tags and why hsg

the hartmann software group advantage
A successful career as a software developer or other IT professional requires a solid understanding of software development processes, design patterns, enterprise application architectures, web services, security, networking and much more. The progression from novice to expert can be a daunting endeavor; this is especially true when traversing the learning curve without expert guidance. A common experience is that too much time and money is wasted on a career plan or application due to misinformation.

The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:

  • Learn from the experts.
    1. We have provided software development and other IT related training to many major corporations in Germany since 2002.
    2. Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
  • Discover tips and tricks about XML programming
  • Get your questions answered by easy to follow, organized XML experts
  • Get up to speed with vital XML programming tools
  • Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
  • Prepare to hit the ground running for a new job or a new position
  • See the big picture and have the instructor fill in the gaps
  • We teach with sophisticated learning tools and provide excellent supporting course material
  • Books and course material are provided in advance
  • Get a book of your choice from the HSG Store as a gift from us when you register for a class
  • Gain a lot of practical skills in a short amount of time
  • We teach what we know…software
  • We care…
learn more
page tags
what brought you to visit us
Munich, Germany XML Training , Munich, Germany XML Training Classes, Munich, Germany XML Training Courses, Munich, Germany XML Training Course, Munich, Germany XML Training Seminar
training locations
Germany cities where we offer XML Training Classes

Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.