Azure Training Classes in Mc Allen, Texas
Learn Azure in Mc Allen, Texas 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 Azure related training offerings in Mc Allen, Texas: Azure Training
| Artificial Intelligence Implementation Boot Camp Training/Class | 8 November, 2024 - 8 November, 2024 | $1100 |  |
| Microsoft Azure AI Fundamentals (AI-900T00) Training/Class | 25 November, 2024 - 25 November, 2024 | $560 | |
Azure Training Catalog
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Machine Learning Classes
Course Directory [training on all levels]
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- Microsoft Azure AI Fundamentals (AI-900T00)
25 November, 2024 - 25 November, 2024 - Go Language Essentials
18 November, 2024 - 21 November, 2024 - OpenShift Fundamentals
12 November, 2024 - 14 November, 2024 - Fast Track to Java 17 and OO Development
9 December, 2024 - 13 December, 2024 - RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE
2 December, 2024 - 5 December, 2024 - See our complete public course listing
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.”
Facebook has recently released a collection of C++ software modules that it uses to run the popular website. With Facebook releasing Folly (the name it designated for the collection), more of the internal programs could become open source since they need different parts of the collection.
Jordan DeLong, a Facebook software engineer, said one concerning holdup to releasing additional work is that any open source project had to cut away from the dependencies on non-released internal collection code.
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.
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
Tech Life in Texas
| Company Name | City | Industry | Secondary Industry |
|---|---|---|---|
| Dr Pepper Snapple Group | Plano | Manufacturing | Nonalcoholic Beverages |
| Western Refining, Inc. | El Paso | Energy and Utilities | Gasoline and Oil Refineries |
| Frontier Oil Corporation | Dallas | Manufacturing | Chemicals and Petrochemicals |
| ConocoPhillips | Houston | Energy and Utilities | Gasoline and Oil Refineries |
| Dell Inc | Round Rock | Computers and Electronics | Computers, Parts and Repair |
| Enbridge Energy Partners, L.P. | Houston | Transportation and Storage | Transportation & Storage Other |
| GameStop Corp. | Grapevine | Retail | Retail Other |
| Fluor Corporation | Irving | Business Services | Management Consulting |
| Kimberly-Clark Corporation | Irving | Manufacturing | Paper and Paper Products |
| Exxon Mobil Corporation | Irving | Energy and Utilities | Gasoline and Oil Refineries |
| Plains All American Pipeline, L.P. | Houston | Energy and Utilities | Gasoline and Oil Refineries |
| Cameron International Corporation | Houston | Energy and Utilities | Energy and Utilities Other |
| Celanese Corporation | Irving | Manufacturing | Chemicals and Petrochemicals |
| HollyFrontier Corporation | Dallas | Energy and Utilities | Gasoline and Oil Refineries |
| Kinder Morgan, Inc. | Houston | Energy and Utilities | Gas and Electric Utilities |
| Marathon Oil Corporation | Houston | Energy and Utilities | Gasoline and Oil Refineries |
| United Services Automobile Association | San Antonio | Financial Services | Personal Financial Planning and Private Banking |
| J. C. Penney Company, Inc. | Plano | Retail | Department Stores |
| Energy Transfer Partners, L.P. | Dallas | Energy and Utilities | Energy and Utilities Other |
| Atmos Energy Corporation | Dallas | Energy and Utilities | Alternative Energy Sources |
| National Oilwell Varco Inc. | Houston | Manufacturing | Manufacturing Other |
| Tesoro Corporation | San Antonio | Manufacturing | Chemicals and Petrochemicals |
| Halliburton Company | Houston | Energy and Utilities | Energy and Utilities Other |
| Flowserve Corporation | Irving | Manufacturing | Tools, Hardware and Light Machinery |
| Commercial Metals Company | Irving | Manufacturing | Metals Manufacturing |
| EOG Resources, Inc. | Houston | Energy and Utilities | Gasoline and Oil Refineries |
| Whole Foods Market, Inc. | Austin | Retail | Grocery and Specialty Food Stores |
| Waste Management, Inc. | Houston | Energy and Utilities | Waste Management and Recycling |
| CenterPoint Energy, Inc. | Houston | Energy and Utilities | Gas and Electric Utilities |
| Valero Energy Corporation | San Antonio | Manufacturing | Chemicals and Petrochemicals |
| FMC Technologies, Inc. | Houston | Energy and Utilities | Alternative Energy Sources |
| Calpine Corporation | Houston | Energy and Utilities | Gas and Electric Utilities |
| Texas Instruments Incorporated | Dallas | Computers and Electronics | Semiconductor and Microchip Manufacturing |
| SYSCO Corporation | Houston | Wholesale and Distribution | Grocery and Food Wholesalers |
| BNSF Railway Company | Fort Worth | Transportation and Storage | Freight Hauling (Rail and Truck) |
| Affiliated Computer Services, Incorporated (ACS), a Xerox Company | Dallas | Software and Internet | E-commerce and Internet Businesses |
| Tenet Healthcare Corporation | Dallas | Healthcare, Pharmaceuticals and Biotech | Hospitals |
| XTO Energy Inc. | Fort Worth | Energy and Utilities | Gasoline and Oil Refineries |
| Group 1 Automotive | Houston | Retail | Automobile Dealers |
| ATandT | Dallas | Telecommunications | Telephone Service Providers and Carriers |
| Anadarko Petroleum Corporation | Spring | Energy and Utilities | Gasoline and Oil Refineries |
| Apache Corporation | Houston | Energy and Utilities | Gasoline and Oil Refineries |
| Dean Foods Company | Dallas | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
| American Airlines | Fort Worth | Travel, Recreation and Leisure | Passenger Airlines |
| Baker Hughes Incorporated | Houston | Energy and Utilities | Gasoline and Oil Refineries |
| Continental Airlines, Inc. | Houston | Travel, Recreation and Leisure | Passenger Airlines |
| RadioShack Corporation | Fort Worth | Computers and Electronics | Consumer Electronics, Parts and Repair |
| KBR, Inc. | Houston | Government | International Bodies and Organizations |
| Spectra Energy Partners, L.P. | Houston | Energy and Utilities | Gas and Electric Utilities |
| Energy Future Holdings | Dallas | Energy and Utilities | Energy and Utilities Other |
| Southwest Airlines Corporation | Dallas | Transportation and Storage | Air Couriers and Cargo Services |
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 Texas 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 Azure programming
- Get your questions answered by easy to follow, organized Azure experts
- Get up to speed with vital Azure 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…
Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.
