Microsoft Windows Server Training Classes in Ann Arbor, Michigan

Hartmann Software Group C# Training

Learn Microsoft Windows Server in Ann Arbor, Michigan and surrounding areas via our hands-on, expert led courses. All of our classes are offered on an onsite, online and public instructor led basis. Here is a list of our current Microsoft Windows Server related training offerings in Ann Arbor, Michigan: Microsoft Windows Server Training

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Ann-Arbor  Upcoming Instructor Led Online and Public Microsoft Windows Server Training Classes
10962: Advanced Automated Administration with Windows PowerShell Training/Class 28 October, 2019 - 30 October, 2019 $1290
HSG Training Center
Ann-Arbor, Michigan
Hartmann Software Group Training Registration
10961:Automating Administration with Windows PowerShell Training/Class 9 December, 2019 - 13 December, 2019 $2090
HSG Training Center
Ann-Arbor, Michigan
Hartmann Software Group Training Registration

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Cloud computing is the recent rage in the IT industry. According to the report by Forbes, the estimated global market for cloud computing is expected to reach $35.6 billion in 2015, from the $12.1 billion market of 2010.

How it began

The idea of cloud computing was inspired by the concept of “utility computing” which introduced the idea of computing using the virtual servers. These virtual servers do not actually exist anywhere physically and can be moved anywhere without causing any disturbance to the end users. Thus it minimizes the cost involved on the devices to a great extent and provides innumerable benefits to the companies that adopt this system.

Cloud Computing Types

C# PROGRAMMING –MAIN DESIGN GOALS

C# is a popular programming language these days, and it was designed from inception to provide a simple, clean, general purpose programming language for those intending to work within the confines of Microsoft’s .NET framework.  Since then, it has been approved as one of the standard languages by both ECMA and ISO, making C# programming an essential tool in every programmers’ kit.

Different languages have different uses and specialties, and C# was designed for programmers to be able to use it to create different components for use in software that would be deployed and distributed en masse, to live use environments.  This means that designers had to really put an emphasis on making the actual source code extremely compatible and portable.  Those already familiar with C or C++ should definitely notice this emphasis.

Another particular point of emphasis during design was focus on internationalization of the language; it was intended from inception to be available all over the world, and to see all sorts of different implementations based on variance in regional programming technique.  The resultant use should help the language develop sophistication as it is refined throughout different versions.

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.

In this tutorial I am going to give you a gentle introduction to network programming in Python. If you are new to programming or new to Python then that may seem like a daunting thought. But read on and you will be pleasantly surprised how easy it is.

Like most modern programming languages, Python was designed for networking from the very beginning, and thanks to that, a lot of the networking tasks you would want to accomplish with the language are made a whole lot easier.

Network communication is a large topic, but if it is something that interests you then read on because in this tutorial I will show you how to download a web page. I will show you how easy Python makes tasks like this.

Take a look at the following code:

import urllib
	
con = urllib.urlopen("http://hartmannsoftware.com")
page = con.read()
con.close()
print page

Tech Life in Michigan

Home of the Ford Motor Company and many other Fortune 500 and Fortune 1000 Companies, Michigan has a list of famous people that have made their mark on society. Famous Michiganians: Francis Ford Coppola film director; Henry Ford industrialist, Earvin Magic Johnson basketball player; Charles A. Lindbergh aviator; Madonna singer; Stevie Wonder singer; John T. Parsons inventor and William R. Hewlett inventor.
Software suppliers are trying to make their software packages more user-friendly [...] Their best approach, so far, has been to take all the old brochures, and stamp the words user-friendly on the cover. Bill Gates
other Learning Options
Software developers near Ann Arbor have ample opportunities to meet like minded techie individuals, collaborate and expend their career choices by participating in Meet-Up Groups. The following is a list of Technology Groups in the area.
Fortune 500 and 1000 companies in Michigan that offer opportunities for Microsoft Windows Server developers
Company Name City Industry Secondary Industry
Lear Corporation Southfield Manufacturing Automobiles, Boats and Motor Vehicles
TRW Automotive Holdings Corp. Livonia Manufacturing Automobiles, Boats and Motor Vehicles
Spartan Stores, Inc. Byron Center Retail Grocery and Specialty Food Stores
Steelcase Inc. Grand Rapids Manufacturing Furniture Manufacturing
Valassis Communications, Inc. Livonia Business Services Advertising, Marketing and PR
Autoliv, Inc. Auburn Hills Manufacturing Automobiles, Boats and Motor Vehicles
Cooper-Standard Automotive Group Novi Manufacturing Automobiles, Boats and Motor Vehicles
Penske Automotive Group, Inc. Bloomfield Hills Retail Automobile Dealers
Con-Way Inc. Ann Arbor Transportation and Storage Freight Hauling (Rail and Truck)
Meritor, Inc. Troy Manufacturing Automobiles, Boats and Motor Vehicles
Visteon Corporation Van Buren Twp Manufacturing Automobiles, Boats and Motor Vehicles
Affinia Group, Inc. Ann Arbor Manufacturing Automobiles, Boats and Motor Vehicles
Perrigo Company Allegan Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
BorgWarner Inc. Auburn Hills Manufacturing Automobiles, Boats and Motor Vehicles
Auto-Owners Insurance Lansing Financial Services Insurance and Risk Management
DTE Energy Company Detroit Energy and Utilities Gas and Electric Utilities
Whirlpool Corporation Benton Harbor Manufacturing Tools, Hardware and Light Machinery
Herman Miller, Inc. Zeeland Manufacturing Furniture Manufacturing
Universal Forest Products Grand Rapids Manufacturing Furniture Manufacturing
Masco Corporation Inc. Taylor Manufacturing Concrete, Glass, and Building Materials
PULTEGROUP, INC. Bloomfield Hills Real Estate and Construction Real Estate & Construction Other
CMS Energy Corporation Jackson Energy and Utilities Energy and Utilities Other
Stryker Corporation Portage Healthcare, Pharmaceuticals and Biotech Medical Devices
General Motors Company (GM) Detroit Manufacturing Automobiles, Boats and Motor Vehicles
Kellogg Company Battle Creek Manufacturing Food and Dairy Product Manufacturing and Packaging
The Dow Chemical Company Midland Manufacturing Chemicals and Petrochemicals
Kelly Services, Inc. Troy Business Services HR and Recruiting Services
Ford Motor Company Dearborn Manufacturing Automobiles, Boats and Motor Vehicles

training details locations, tags and why hsg

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 Michigan 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 Microsoft Windows Server programming
  • Get your questions answered by easy to follow, organized Microsoft Windows Server experts
  • Get up to speed with vital Microsoft Windows Server 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…
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Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.