IBM Training Classes in Hampton, Virginia
Learn IBM in Hampton, Virginia 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 IBM related training offerings in Hampton, Virginia: IBM Training
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22 September, 2025 - 26 September, 2025 - Introduction to Spring 6, Spring Boot 3, and Spring REST
25 August, 2025 - 29 August, 2025 - Enterprise Linux System Administration
28 July, 2025 - 1 August, 2025 - RHCSA EXAM PREP
17 November, 2025 - 21 November, 2025 - OpenShift Fundamentals
6 October, 2025 - 8 October, 2025 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
A career in the field of software development remains immensely popular due to various factors. Chief among them of course is the higher compensation and lucrative pay scale in the IT industry when compared to other career options. In addition, the flexibility of work hours and the sheer sense of achievement experienced by one while creating new programs are unsurpassed by any other job.
Popularity and reach of Software Programs
Software programming has become a quintessential part of our day to day life, right from the smartphones in your pocket, to video gaming, and everything in between. The opportunities in this field are truly astounding. The niches for specializing are also diverse, from creating operating systems, to mobile app development, or web app development to name a few.
There are various ways in which you can distinguish yourself in the market for the much coveted title of software programmer. Here, we focus on some of them.
Smart Project Management –Best Practices of Good Managers
Project management could be one of the easiest jobs on the planet, and could also be the worst nightmare. The difference between the two extremes depends on smart management of a project. According to the project management institute, there are five phases in project management - Initiating, Planning, Executing, Monitoring & Controlling, and Closing.
Every manager has his own style of project management. But there are a lot of contributing factors that result in a successfully managed project. These factors vary from project to project, but they all contain some common elements.
1. Setting SMART Goals
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.
Python and Ruby, each with roots going back into the 1990s, are two of the most popular interpreted programming languages today. Ruby is most widely known as the language in which the ubiquitous Ruby on Rails web application framework is written, but it also has legions of fans that use it for things that have nothing to do with the web. Python is a big hit in the numerical and scientific computing communities at the present time, rapidly displacing such longtime stalwarts as R when it comes to these applications. It too, however, is also put to a myriad of other uses, and the two languages probably vie for the title when it comes to how flexible their users find them.
A Matter of Personality...
That isn't to say that there aren't some major, immediately noticeable, differences between the two programming tongues. Ruby is famous for its flexibility and eagerness to please; it is seen by many as a cleaned-up continuation of Perl's "Do What I Mean" philosophy, whereby the interpreter does its best to figure out the meaning of evening non-canonical syntactic constructs. In fact, the language's creator, Yukihiro Matsumoto, chose his brainchild's name in homage to that earlier language's gemstone-inspired moniker.
Python, on the other hand, takes a very different tact. In a famous Python Enhancement Proposal called "The Zen of Python," longtime Pythonista Tim Peters declared it to be preferable that there should only be a single obvious way to do anything. Python enthusiasts and programmers, then, generally prize unanimity of style over syntactic flexibility compared to those who choose Ruby, and this shows in the code they create. Even Python's whitespace-sensitive parsing has a feel of lending clarity through syntactical enforcement that is very much at odds with the much fuzzier style of typical Ruby code.
For example, Python's much-admired list comprehension feature serves as the most obvious way to build up certain kinds of lists according to initial conditions:
a = [x**3 for x in range(10,20)]
b = [y for y in a if y % 2 == 0]
first builds up a list of the cubes of all of the numbers between 10 and 19 (yes, 19), assigning the result to 'a'. A second list of those elements in 'a' which are even is then stored in 'b'. One natural way to do this in Ruby is probably:
a = (10..19).map {|x| x ** 3}
b = a.select {|y| y.even?}
but there are a number of obvious alternatives, such as:
a = (10..19).collect do |x|
x ** 3
end
b = a.find_all do |y|
y % 2 == 0
end
It tends to be a little easier to come up with equally viable, but syntactically distinct, solutions in Ruby compared to Python, even for relatively simple tasks like the above. That is not to say that Ruby is a messy language, either; it is merely that it is somewhat freer and more forgiving than Python is, and many consider Python's relative purity in this regard a real advantage when it comes to writing clear, easily understandable code.
And Somewhat One of Performance
Tech Life in Virginia
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Brink's Inc. | Richmond | Business Services | Security Services |
Federal Home Loan Mortgage Corporation (Freddie Mac) | Mc Lean | Financial Services | Lending and Mortgage |
General Dynamics Corporation | Falls Church | Manufacturing | Aerospace and Defense |
CarMax, Inc. | Henrico | Retail | Automobile Dealers |
NVR, Inc. | Reston | Real Estate and Construction | Construction and Remodeling |
Gannett Co., Inc. | Mc Lean | Media and Entertainment | Newspapers, Books and Periodicals |
Smithfield Foods, Inc. | Smithfield | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
ManTech International Corporation | Fairfax | Computers and Electronics | IT and Network Services and Support |
DynCorp International | Falls Church | Manufacturing | Aerospace and Defense |
Genworth Financial, Inc. | Richmond | Financial Services | Insurance and Risk Management |
MeadWestvaco Corporation | Richmond | Manufacturing | Paper and Paper Products |
Dollar Tree, Inc. | Chesapeake | Retail | Department Stores |
Alpha Natural Resources, Inc. | Abingdon | Agriculture and Mining | Mining and Quarrying |
SRA International, Inc. | Fairfax | Business Services | Business Services Other |
NII Holdings, Inc. | Reston | Telecommunications | Wireless and Mobile |
Dominion Resources, Inc. | Richmond | Energy and Utilities | Gas and Electric Utilities |
Norfolk Southern Corporation | Norfolk | Transportation and Storage | Freight Hauling (Rail and Truck) |
CACI International Inc. | Arlington | Software and Internet | Data Analytics, Management and Storage |
Amerigroup Corporation | Virginia Beach | Financial Services | Insurance and Risk Management |
Owens and Minor, Inc. | Mechanicsville | Healthcare, Pharmaceuticals and Biotech | Personal Health Care Products |
Advance Auto Parts, Inc | Roanoke | Retail | Automobile Parts Stores |
SAIC | Mc Lean | Software and Internet | Software |
AES Corporation | Arlington | Energy and Utilities | Gas and Electric Utilities |
Capital One Financial Corporation | Mc Lean | Financial Services | Credit Cards and Related Services |
Sunrise Senior Living, Inc. | Mc Lean | Healthcare, Pharmaceuticals and Biotech | Residential and Long-Term Care Facilities |
Computer Sciences Corporation | Falls Church | Software and Internet | Software |
Altria Group, Inc. | Richmond | Manufacturing | Manufacturing Other |
Northrop Grumman Corporation | Falls Church | Manufacturing | Aerospace and Defense |
Alliant Techsystems Inc. | Arlington | Manufacturing | Aerospace and Defense |
Markel Corporation | Glen Allen | Financial Services | Insurance and Risk Management |
training details locations, tags and why hsg
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.
- We have provided software development and other IT related training to many major corporations in Virginia since 2002.
- 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 IBM programming
- Get your questions answered by easy to follow, organized IBM experts
- Get up to speed with vital IBM 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…