Linux Unix Training Classes in Frankfort, Kentucky

Hartmann Software Group Linux Training

Learn Linux Unix in Frankfort, Kentucky 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 Frankfort, Kentucky: Linux Unix Training

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Frankfort  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
Frankfort, Kentucky
Hartmann Software Group Training Registration
Developing Linux Device Drivers (LFD430) Training/Class 16 September, 2019 - 19 September, 2019 $2600
HSG Training Center
Frankfort, Kentucky
Hartmann Software Group Training Registration
Embedded Linux Development (LFD450) Training/Class 23 September, 2019 - 26 September, 2019 $2600
HSG Training Center
Frankfort, Kentucky
Hartmann Software Group Training Registration
Linux Kernel Debugging and Security (LFD440) Training/Class 7 October, 2019 - 10 October, 2019 $2600
HSG Training Center
Frankfort, Kentucky
Hartmann Software Group Training Registration
Linux Performance Tuning (LFS426) Training/Class 30 September, 2019 - 3 October, 2019 $2600
HSG Training Center
Frankfort, Kentucky
Hartmann Software Group Training Registration
Linux Security (LFS416) Training/Class 14 October, 2019 - 17 October, 2019 $2600
HSG Training Center
Frankfort, Kentucky
Hartmann Software Group Training Registration
Linux System Administration (LFS301) Training/Class 16 September, 2019 - 19 September, 2019 $2600
HSG Training Center
Frankfort, Kentucky
Hartmann Software Group Training Registration
Open Source Virtualization (LFS462) Training/Class 9 September, 2019 - 12 September, 2019 $2400
HSG Training Center
Frankfort, Kentucky
Hartmann Software Group Training Registration

View all Scheduled Linux Unix Training Classes

Linux Unix Training Catalog

cost: $ 1090length: 3 day(s)

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

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

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.

.NET is a highly popular programming language from Microsoft that continues to rock the IT industry since its inception almost twelve years ago. Simply stated, it is a development framework comprising of multiple modules that helps in creating Web Applications, Windows Applications as well as Mobile Applications. The demand for .NET programmers saw a definite surge in the last decade - thanks to the evolution of the smart phones.

Listed below are some of the recent and prevalent aspects of .Net

ASP .NET - Web API

Microsoft considers Web AP I as the future of ASP .NET. The world of web is heading towards a simpler, lightweight, REST based services. Web API makes it possible with the ASP.NET MVC without the heavy lifting that WCF requires. jQuery could be utilized for displaying results in front end of the page as shown in the example in Microsoft site.

Companies have been collecting and analyzing data forever, pretty much.” So what’s really new here? What’s driving the data-analytics revolution and what does it mean for those that choose to postpone or ignore the pivotal role big-data is currently having on productivity and competition globally?

General Electric chairman and CEO Jeff Immelt explains it best when stating that “industrial companies are now in the information business—whether they like it or not.”  Likewise, digital data is now everywhere, it’s in every industry, in every economy, in every organization and according to the McKinsey Global Institute (MGI), this topic might once have concerned only a few data geeks, but big data is now relevant for leaders across every sector as well as consumers of products and services.

In light of the new data-driven global landscape and rapid technological advances, the question for senior leaders in companies now is how to integrate new capabilities into their operations and strategies—and position themselves globally where analytics can influence entire industries. An interesting discussion with six of theses senior leaders is covered in MGI’s article, “How companies are using big data and analytics,” providing us with a glimpse into a real-time decision making processes.

 

Before we go to the list do you know what makes software skills most sought-after and hence more valuable than most of the other job skills? It is simply because unlike any other skill, software skills are global and are not at all location specific! With the evolution and penetration of internet technologies, the physical distance between the client and service provider hardly matters. So, with more advancement in technology, it is indeed going to rain opportunities on the right skilled developer. I’ll take the liberty to reproduce the following quotes here to prove my claims statistically:

 

Demand for “cloud-ready” IT workers will grow by 26 percent annually through 2015, with as many as 7 million cloud-related jobs available worldwide.

---IDC White Paper (November 2012).

 

In the United States, the IT sector is experiencing modest growth of IT jobs in general, with the average growth in IT employment between 1.1 and 2.7 percent per year through 2020.

---U.S. Bureau of Labor Statistics.

 

Tech Life in Kentucky

Some fun facts about Kentucky: Cheeseburgers were first served in 1934 at Kaolin's restaurant in Louisville; The song "Happy Birthday to You" was the creation of two Louisville sisters in 1893; The first American performance of a Beethoven symphony was in Lexington in 1817; Kentucky is home to the highest per capita number of deer and turkey in the United States. Some of the Fortune 1000 companies that call Kentucky home are. Humana, Ashland Inc., Lexmark International and YUM! Brands Inc.
The purpose of learning is growth, and our minds, unlike our bodies, can continue growing as we continue to live.  ~Mortimer Adler
other Learning Options
Software developers near Frankfort 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 Kentucky that offer opportunities for Linux Unix developers
Company Name City Industry Secondary Industry
Brown-Forman Beverages Worldwide Louisville Manufacturing Alcoholic Beverages
General Cable Corporation Newport Computers and Electronics Semiconductor and Microchip Manufacturing
PharMerica Corporation Louisville Software and Internet Data Analytics, Management and Storage
Humana Inc. Louisville Financial Services Insurance and Risk Management
Lexmark International, Inc. Lexington Computers and Electronics Peripherals Manufacturing
YUM! Brands, Inc. Louisville Retail Restaurants and Bars
ResCare, Inc. Louisville Healthcare, Pharmaceuticals and Biotech Doctors and Health Care Practitioners
Kindred Healthcare, Inc. Louisville Healthcare, Pharmaceuticals and Biotech Residential and Long-Term Care Facilities
Ashland Inc Covington Manufacturing Chemicals and Petrochemicals

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