Linux Unix Training Classes in Columbus, Georgia

Learn Linux Unix in Columbus, Georgia 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 Linux Unix related training offerings in Columbus, Georgia: Linux Unix Training

We offer private customized training for groups of 3 or more attendees.
Columbus  Upcoming Instructor Led Online and Public Linux Unix Training Classes
Enterprise Linux System Administration Training/Class 14 April, 2025 - 18 April, 2025 $2190
HSG Training Center instructor led online
Columbus, Georgia 31904
Hartmann Software Group Training Registration
Linux Fundaments GL120 Training/Class 2 June, 2025 - 6 June, 2025 $2090
HSG Training Center instructor led online
Columbus, Georgia 31904
Hartmann Software Group Training Registration
LINUX SHELL SCRIPTING Training/Class 30 June, 2025 - 1 July, 2025 $990
HSG Training Center instructor led online
Columbus, Georgia 31904
Hartmann Software Group Training Registration
OpenShift Fundamentals Training/Class 28 April, 2025 - 30 April, 2025 $2090
HSG Training Center instructor led online
Columbus, Georgia 31904
Hartmann Software Group Training Registration
RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE Training/Class 21 April, 2025 - 24 April, 2025 $2735
HSG Training Center instructor led online
Columbus, Georgia 31904
Hartmann Software Group Training Registration
RED HAT ENTERPRISE LINUX SYSTEMS ADMIN I Training/Class 24 March, 2025 - 28 March, 2025 $2090
HSG Training Center instructor led online
Columbus, Georgia 31904
Hartmann Software Group Training Registration
RED HAT ENTERPRISE LINUX SYSTEMS ADMIN II Training/Class 18 August, 2025 - 21 August, 2025 $1890
HSG Training Center instructor led online
Columbus, Georgia 31904
Hartmann Software Group Training Registration
RHCSA EXAM PREP Training/Class 16 June, 2025 - 20 June, 2025 $2090
HSG Training Center instructor led online
Columbus, Georgia 31904
Hartmann Software Group Training Registration
DOCKER WITH KUBERNETES ADMINISTRATION Training/Class 17 March, 2025 - 21 March, 2025 $2490
HSG Training Center instructor led online
Columbus, Georgia 31904
Hartmann Software Group Training Registration

View all Scheduled Linux Unix Training Classes

Linux Unix Training Catalog

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DevOps Classes

cost: $ 1690length: 3 day(s)
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Foundations of Web Design & Web Authoring Classes

cost: $ 1290length: 3 day(s)
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Java Programming Classes

cost: $ 1390length: 3 day(s)
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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

Jeff Nelson, a former Googler and inventor of Chromebook says on Quora, “One habit I've clung to is writing small prototypes when I'm trying to learn new concepts.
For example, I'll sit down with a book or a web page, and over the course of a few hours, write 30 or 40 programs all of them only a few dozen lines long.  Each program intended to demonstrate some simple concept. This prototyping makes it very easy to try out many concepts in a short period of time.”

 

Miguel Paraz, Software Engineering Student habit is to “keep a log in a text file or document on my work computer. Before trying to solve a problem, I write it down first. And then I describe the details as they happen.”

Let’s face it, fad or not, companies are starting to ask themselves how they could possibly use machine learning and AI technologies in their organization. Many are being lured by the promise of profits by discovering winning patterns with algorithms that will enable solid predictions… The reality is that most technology and business professionals do not have sufficient understanding of how machine learning works and where it can be applied.  For a lot of firms, the focus still tends to be on small-scale changes instead of focusing on what really matters…tackling their approach to machine learning.

In the recent Wall Street Journal article, Machine Learning at Scale Remains Elusive for Many Firms, Steven Norton captures interesting comments from the industry’s data science experts. In the article, he quotes panelists from the MIT Digital Economy Conference in NYC, on businesses current practices with AI and machine learning. All agree on the fact that, for all the talk of Machine Learning and AI’s potential in the enterprise, many firms aren’t yet equipped to take advantage of it fully.

Panelist,  Michael Chui, partner at McKinsey Global Institute states that “If a company just mechanically says OK, I’ll automate this little activity here and this little activity there, rather than re-thinking the entire process and how it can be enabled by technology, they usually get very little value out of it. “Few companies have deployed these technologies in a core business process or at scale.”

Panelist, Hilary Mason, general manager at Cloudera Inc., had this to say, “With very few exceptions, every company we work with wants to start with a cost-savings application of automation.” “Most organizations are not set up to do this well.”

The original article was posted by Michael Veksler on Quora

A very well known fact is that code is written once, but it is read many times. This means that a good developer, in any language, writes understandable code. Writing understandable code is not always easy, and takes practice. The difficult part, is that you read what you have just written and it makes perfect sense to you, but a year later you curse the idiot who wrote that code, without realizing it was you.

The best way to learn how to write readable code, is to collaborate with others. Other people will spot badly written code, faster than the author. There are plenty of open source projects, which you can start working on and learn from more experienced programmers.

Readability is a tricky thing, and involves several aspects:

  1. Never surprise the reader of your code, even if it will be you a year from now. For example, don’t call a function max() when sometimes it returns the minimum().
  2. Be consistent, and use the same conventions throughout your code. Not only the same naming conventions, and the same indentation, but also the same semantics. If, for example, most of your functions return a negative value for failure and a positive for success, then avoid writing functions that return false on failure.
  3. Write short functions, so that they fit your screen. I hate strict rules, since there are always exceptions, but from my experience you can almost always write functions short enough to fit your screen. Throughout my carrier I had only a few cases when writing short function was either impossible, or resulted in much worse code.
  4. Use descriptive names, unless this is one of those standard names, such as i or it in a loop. Don’t make the name too long, on one hand, but don’t make it cryptic on the other.
  5. Define function names by what they do, not by what they are used for or how they are implemented. If you name functions by what they do, then code will be much more readable, and much more reusable.
  6. Avoid global state as much as you can. Global variables, and sometimes attributes in an object, are difficult to reason about. It is difficult to understand why such global state changes, when it does, and requires a lot of debugging.
  7. As Donald Knuth wrote in one of his papers: “Early optimization is the root of all evil”. Meaning, write for readability first, optimize later.
  8. The opposite of the previous rule: if you have an alternative which has similar readability, but lower complexity, use it. Also, if you have a polynomial alternative to your exponential algorithm (when N > 10), you should use that.

Use standard library whenever it makes your code shorter; don’t implement everything yourself. External libraries are more problematic, and are both good and bad. With external libraries, such as boost, you can save a lot of work. You should really learn boost, with the added benefit that the c++ standard gets more and more form boost. The negative with boost is that it changes over time, and code that works today may break tomorrow. Also, if you try to combine a third-party library, which uses a specific version of boost, it may break with your current version of boost. This does not happen often, but it may.

Don’t blindly use C++ standard library without understanding what it does - learn it. You look at std::vector::push_back() documentation at it tells you that its complexity is O(1), amortized. What does that mean? How does it work? What are benefits and what are the costs? Same with std::map, and with std::unordered_map. Knowing the difference between these two maps, you’d know when to use each one of them.

Never call new or delete directly, use std::make_unique and [cost c++]std::make_shared[/code] instead. Try to implement usique_ptr, shared_ptr, weak_ptr yourself, in order to understand what they actually do. People do dumb things with these types, since they don’t understand what these pointers are.

Every time you look at a new class or function, in boost or in std, ask yourself “why is it done this way and not another?”. It will help you understand trade-offs in software development, and will help you use the right tool for your job. Don’t be afraid to peek into the source of boost and the std, and try to understand how it works. It will not be easy, at first, but you will learn a lot.

Know what complexity is, and how to calculate it. Avoid exponential and cubic complexity, unless you know your N is very low, and will always stay low.

Learn data-structures and algorithms, and know them. Many people think that it is simply a wasted time, since all data-structures are implemented in standard libraries, but this is not as simple as that. By understanding data-structures, you’d find it easier to pick the right library. Also, believe it or now, after 25 years since I learned data-structures, I still use this knowledge. Half a year ago I had to implemented a hash table, since I needed fast serialization capability which the available libraries did not provide. Now I am writing some sort of interval-btree, since using std::map, for the same purpose, turned up to be very very slow, and the performance bottleneck of my code.

Notice that you can’t just find interval-btree on Wikipedia, or stack-overflow. The closest thing you can find is Interval tree, but it has some performance drawbacks. So how can you implement an interval-btree, unless you know what a btree is and what an interval-tree is? I strongly suggest, again, that you learn and remember data-structures.

These are the most important things, which will make you a better programmer. The other things will follow.

Checking to see if a file exists is a two step process in Python. Simply import the module shown below and invoke the isfile function:

 

import os.path
os.path.isfile(fname)

Tech Life in Georgia

Home of some major corporate players in the world such as the United Parcel Service (UPS) in Atlanta, First Data Corporation, Delta Airlines, and the Coca Cola Company techies in Georgia can easily establish their career goals in this state. The Georgia Institute of Technology plays a significant role in Information and Computer sciences as well as supports the Frank H. Neely Nuclear Research Center.
There's no genius behind it. It's persistence and listening to people. Craig Newman, Craigslist Founder
other Learning Options
Software developers near Columbus 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 Georgia that offer opportunities for Linux Unix developers
Company Name City Industry Secondary Industry
BlueLinx Corporation Atlanta Real Estate and Construction Construction Equipment and Supplies
Equifax, Inc. Atlanta Business Services Business Services Other
Asbury Automotive Group, Inc. Duluth Retail Automobile Dealers
Flowers Foods, Inc. Thomasville Manufacturing Food and Dairy Product Manufacturing and Packaging
Graphic Packaging Holding Company Marietta Manufacturing Paper and Paper Products
NCR Corporation Duluth Computers and Electronics Networking Equipment and Systems
Genuine Parts Company Atlanta Wholesale and Distribution Automobile Parts Wholesalers
Delta Air Lines, Inc. Atlanta Travel, Recreation and Leisure Passenger Airlines
Carter's Inc Atlanta Manufacturing Textiles, Apparel and Accessories
Mohawk Industries, Inc. Calhoun Manufacturing Textiles, Apparel and Accessories
Synovus Financial Corp. Columbus Financial Services Investment Banking and Venture Capital
Home Depot USA , Inc Atlanta Retail Hardware and Building Material Dealers
Global Payments Inc. Atlanta Financial Services Financial Services Other
AGL Resources, Inc. Atlanta Energy and Utilities Gas and Electric Utilities
ROCK-TENN COMPANY Norcross Manufacturing Paper and Paper Products
Southern Company Atlanta Energy and Utilities Gas and Electric Utilities
AGCO Corporation Duluth Manufacturing Farming and Mining Machinery and Equipment
First Data Corporation Atlanta Financial Services Credit Cards and Related Services
Acuity Brands, Inc. Atlanta Retail Retail Other
Exide Technologies Milton Manufacturing Manufacturing Other
TSYS Corporation Columbus Financial Services Financial Services Other
SunTrust Banks, Inc. Atlanta Financial Services Banks
The Coca-Cola Company Atlanta Manufacturing Nonalcoholic Beverages
United Parcel Service, Inc. - UPS Atlanta Transportation and Storage Postal, Express Delivery, and Couriers
AFLAC Incorporated Columbus Financial Services Insurance and Risk Management
Newell Rubbermaid Inc. Atlanta Manufacturing Paper and Paper Products

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 Georgia 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.