Linux Unix Training Classes in Akron, Ohio

Hartmann Software Group Linux Training

Learn Linux Unix in Akron, Ohio 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 Linux Unix related training offerings in Akron, Ohio: Linux Unix Training

Get pricing information (3 or more students may receive a discount)
Contact us to discuss our pricing structure for groups of 3 or more attendees.
Akron  Upcoming Instructor Led Online and Public Linux Unix Training Classes
Developing Embedded Linux Device Drivers (LFD435) Training/Class 26 August, 2019 - 29 August, 2019 $2600
HSG Training Center
Akron, Ohio
Hartmann Software Group Training Registration
Developing Linux Device Drivers (LFD430) Training/Class 16 September, 2019 - 19 September, 2019 $2600
HSG Training Center
Akron, Ohio
Hartmann Software Group Training Registration
Embedded Linux Development (LFD450) Training/Class 23 September, 2019 - 26 September, 2019 $2600
HSG Training Center
Akron, Ohio
Hartmann Software Group Training Registration
Linux Kernel Debugging and Security (LFD440) Training/Class 7 October, 2019 - 10 October, 2019 $2600
HSG Training Center
Akron, Ohio
Hartmann Software Group Training Registration
Linux Performance Tuning (LFS426) Training/Class 30 September, 2019 - 3 October, 2019 $2600
HSG Training Center
Akron, Ohio
Hartmann Software Group Training Registration
Linux Security (LFS416) Training/Class 14 October, 2019 - 17 October, 2019 $2600
HSG Training Center
Akron, Ohio
Hartmann Software Group Training Registration
Linux System Administration (LFS301) Training/Class 16 September, 2019 - 19 September, 2019 $2600
HSG Training Center
Akron, Ohio
Hartmann Software Group Training Registration
Open Source Virtualization (LFS462) Training/Class 9 September, 2019 - 12 September, 2019 $2400
HSG Training Center
Akron, Ohio
Hartmann Software Group Training Registration

View all Scheduled Linux Unix Training Classes

Linux Unix Training Catalog

cost: $ 1390length: 4 day(s)
cost: $ 1390length: 4 day(s)
cost: $ 1690length: 4 day(s)
cost: $ 1390length: 4 day(s)
cost: $ 1090length: 3 day(s)
cost: $ 2400length: 5 day(s)
cost: $ 2600length: 4 day(s)
cost: $ 2090length: 5 day(s)
cost: $ 2090length: 5 day(s)
cost: $ 1690length: 5 day(s)
cost: $ 1690length: 5 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

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

Today we live in the age of technology. It seems like everyone owns at least one computer, but few actually know how they work. We hear about Java tutorials and C# programming, but why are these things important?

There has been an increasing demand for those who are proficient in web development. It is a job field that has grown substantially in the past decade, and it is still continuing to flourish with no signs of stopping. Learning a web language is not only a useful skill, but a necessary one. So why, out of all of the available web languages, is Java the most valuable?

·         First off, it is a simple language that is easily learned and well known.

·         Java has been around for awhile now, and has earned its place as one of the pillars of modern day computer architecture. Information on Java is abundant, and ranges from online tutorials to books, such as "Java for Dummies."

How Can Managers Work More Efficiently with IT?

Would you rather work under someone who is an excellent developer but lacks people skills or leadership capabilities - or for someone that has excellent people skills, communicates well, and is a great leader but has limited understanding of productive coding practices? That’s not to say that the choice is one or the other but in many professional situations it does.

Managing an IT staff comes with numerous challenges, especially if the manager has no previous experience with the coding necessary for completing the project. Managing a business and IT's execution of tasks vary greatly in required skill sets, but it's important to find a cohesive and cooperative middle ground in order to see a project to its end. To fully grasp the intricacies of IT's involvement in the project at hand, managers can do the following to help further their efforts.

Get a basic understanding of coding and technical practices necessary for the project at hand by taking the time to research and practice enough to get a grip on the concept. This will allow managers insight on what their IT folks are really working on daily. Expertise in a programming language is not required, only an overview of the stuff that matters, i.e. understanding the concept of OOP (Object Oriented Programming.) Having this knowledge cannot be overlooked and will gain respect among multiple spectrums in the organization.

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.

Tech Life in Ohio

Ulysses S. Grant, Rutherford B. Hayes, James A. Garfield, Benjamin Harrison, William McKinley, William H. Taft, and Warren G. Harding, were all U.S. Presidents born in Ohio. The first recognized university in Ohio was Ohio University founded in 1804. It wasn?t long until the first interracial and coeducational college in the United States, Oberlin, was founded in 1833. The Buckeye State produced some interesting discoveries such as: Charles Goodyear discovering the process of vulcanizing rubber in 1839; Roy J. Plunkett inventing Teflon in 1938; and Charles Kettering inventing the automobile self-starter in 1911.
Be curious always! For knowledge will not acquire you: you must acquire it. ~ Sudie Back
other Learning Options
Software developers near Akron 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 Ohio that offer opportunities for Linux Unix developers
Company Name City Industry Secondary Industry
Nationwide Insurance Company Columbus Financial Services Insurance and Risk Management
Owens Corning Toledo Manufacturing Concrete, Glass, and Building Materials
FirstEnergy Corp Akron Energy and Utilities Gas and Electric Utilities
The Lubrizol Corporation Wickliffe Manufacturing Chemicals and Petrochemicals
Sherwin-Williams Cleveland Retail Hardware and Building Material Dealers
Key Bank Cleveland Financial Services Banks
TravelCenters of America, Inc. Westlake Retail Gasoline Stations
Dana Holding Company Maumee Manufacturing Automobiles, Boats and Motor Vehicles
O-I (Owens Illinois), Inc. Perrysburg Manufacturing Concrete, Glass, and Building Materials
Big Lots Stores, Inc. Columbus Retail Department Stores
Limited Brands, Inc. Columbus Retail Clothing and Shoes Stores
Cardinal Health Dublin Healthcare, Pharmaceuticals and Biotech Healthcare, Pharmaceuticals, and Biotech Other
Progressive Corporation Cleveland Financial Services Insurance and Risk Management
Parker Hannifin Corporation Cleveland Manufacturing Manufacturing Other
American Financial Group, Inc. Cincinnati Financial Services Insurance and Risk Management
American Electric Power Company, Inc Columbus Energy and Utilities Gas and Electric Utilities
Fifth Third Bancorp Cincinnati Financial Services Banks
Macy's, Inc. Cincinnati Retail Department Stores
Goodyear Tire and Rubber Co. Akron Manufacturing Plastics and Rubber Manufacturing
The Kroger Co. Cincinnati Retail Grocery and Specialty Food Stores
Omnicare, Inc. Cincinnati Healthcare, Pharmaceuticals and Biotech Pharmaceuticals
The Procter and Gamble Company Cincinnati Consumer Services Personal Care

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 Ohio 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 Linux Unix programming
  • Get your questions answered by easy to follow, organized Linux Unix experts
  • Get up to speed with vital Linux Unix 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
Akron, Ohio Linux Unix Training , Akron, Ohio Linux Unix Training Classes, Akron, Ohio Linux Unix Training Courses, Akron, Ohio Linux Unix Training Course, Akron, Ohio Linux Unix Training Seminar

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