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The Amazing Potential Of Artificial Intelligence, Machine Learning For Every Industry

In a moment of frustration, you might have wished your organisation had two superpowers. First, the ability to put your most time-consuming, labour-intensive, and detail-oriented processes on autopilot so you could focus on improving your growth outcomes. Second, the ability to answer questions that seem too complicated, confusing, or contradictory to make sense of.

With the advent of artificial intelligence (AI) and machine learning (ML), teams are accomplishing what used to seem impossible and learning what was once thought unknowable. And it’s happening now throughout public organisations, private companies, and higher education institutions — not just at tech giants — pushing expectations for innovation and excellence to new heights.

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Let’s dig into why AI and ML are such transformative technologies. Then, we’ll illustrate how diverse (and unexpected) industries are using these technologies to solve their biggest challenges and unlock opportunities.

Let’s Start With Some Basic Definitions

Artificial Intelligence —

AI allows digital systems to think as a human would, applying reason, logic, and deductive thinking to data in order to complete complex workloads or accomplish massive feats of analysis.

Machine Learning —

Machine learning is an application of AI. It gives digital systems the ability to learn from repeated analysis, gaining new knowledge and capabilities without having them “programmed” in.

These technologies don’t just support the work humans do; they replicate that work and multiply it many times over to operate on a speed and scale even a team of seasoned professionals can’t match.

Troy Hollings

And while many people are excited, there are plenty who are hesitant. With tools as novel as AI and ML, it’s easy to assume they are too technical, expensive, or niche to apply in most settings. But technology that thinks and learns on its own is more accessible than people realise — and it’s already in action in many places.

Story Continues

Any organisation with data (which is every organisation) can leverage AI and ML. Several industries are already using it to their advantage:

Higher Education —

Colleges and universities are using ML to discover indicators that a student may be at risk of leaving, then using AI to provide advanced warning so they can intervene early and improve retention rates.

Recruiting —

Hiring managers have used machine learning to better understand what their ideal candidate looks like and relied upon AI to search through massive talent pools for people who match those same criteria to expedite and improve recruiting efforts.

Nonprofit —

Nonprofits have applied machine learning to donor data to learn what works and what doesn’t with their fundraising efforts, then asked AI to improve when, where, and how they target donation requests.

These use cases are just the beginning. There are few things AI and ML can’t transform, few organisations that can’t benefit, and few industries where these technologies don’t apply. Now may be the time to look into what artificial intelligence and machine learning can do for your organisation.

This article originally appeared on The Patriot Ledger: artificial intelligence, machine learning aren’t just for tech giants.

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Are You Embarrassed By Your IMPROVING PYTHON Skills? Here’s What To Do

Today, there’s no getting away from Python when it comes to web development. The programming language has emerged as one of the most popular of its kind. In fact, in 2021, Stack Overflow found that as much as two-thirds of the developers currently using the language feel very positively about Python and plan to continue doing so. Now, as more innovations promise even greater functionality, it seems clear that Python will cement itself as a global standard in the future.

Python acts as a general-purpose programming language that can be used for virtually any kind of software imaginable. It can be used to create websites, AI constructs, faster servers, business software and much more.

As we can see from the chart above, the majority of respondents in the field of data science prefer to use Python as their primary choice of programming language. This is largely down to the strong levels of security and adaptability that the language can boast in comparison to major rivals like SQL and R.

With the recent PyCon 2022 suggestion that Python developers may soon be capable of running code within their own browsers, its popularity may become strong enough to become an industry standard in a future that’s punctuated by Web3.0 potential.

Let’s take a deeper look at what the coming months could hold in terms of upcoming innovations for Python developers and businesses looking to adopt Python frameworks to bolster their online presence:

Browser-Based Python

One of the biggest drawbacks of Python has been that it’s impossible for users to run its code in a browser. Despite its popularity, Python falls short in comparison to another widely used programming language, JavaScript.

However, this may soon change. At PyCon 2022, which is an annual conference for the language’s more passionate users, developers have claimed that it may soon be possible to run the code within browsers.

PyCon 2022 was the first incarnation of the annual event, which due to Covid-19 reasons has been unable to reconvene since 2019. In this three year gap, it appears that a flurry of new developments have been unveiled that could help to ensure Python’s position as a developer favorite remains.

When it comes to browser compatibility, Python hasn’t supported compilation to the WebAssembly (Wasm) runtime, which acts as a key IC3 web application that utilizes code written in Rust, C, C++, and is capable of converting into a binary format. This helps web-based applications to behave more like desktop applications when outside the browser.

“Python can be run on many platforms: Linux, Windows, Apple (News – Alert) Macs, microcomputers, and even Android devices. But it’s a widely known fact that, if you want code to run in a browser, Python is simply no good – you’ll just have to turn to JavaScript,” suggested The Python Software Foundation in a recent blog post. “Now, however, that may be about to change.”

CPython developers Christian Heimes and Ethan Smith shared their findings at PyCon 2022, specifying that they have enabled CPython’s main branch to compile to WebAssembly. CPython is the abbreviated name for Core Python, and is the reference implementation that other Python languages derive from.

Such a development will be a massive step for the adoption of Python’s programming language – particularly as businesses ramp up their online presence ahead of Web3.0. With CPython now cross-compiling to WebAssembly via Emscripten – which is a toolchain compiling projects written in C or C++ to Node.Js or Wasm runtimes – it’s possible for developers to enjoy far greater functionality in their programming.

The Arrival of CPython brings Greater Speeds

CPython is expected to launch in October 2022, and will include a collection of key improvements in terms of performance and support. The fundamental reason for this improved functionality stems from the availability of C Run-time, as well as greater compatibility with C/C++ programming languages.

At PyCon, CPython’s development team confirmed a series of changes that are set to improve the speed of the language.

At this stage, the Microsoft (News – Alert) HotPy project has been lured in by the prospect of operating on CPython to the point where the project is set to embrace the improved incarnation of the language.

Through the utility of a JIT (Just-In-Time) runtime compiler, it’s possible to experience speeds up to a factor of 10 for pure python code. Analytics Insight notes that the beta version of CPython 3.11 is, on average, around 25% faster in benchmark testing. Furthermore, the project has a roadmap for more improvements and additions.

All of these improvements will be music to the ears of business leaders looking to better market themselves in the age of digital transformation. CPython’s greater functionality means that it can be easier for in-house teams to make changes on the fly, or simpler for Python development teams to better communicate and collaborate with clients in real-time.

Today, Python is the world’s best loved programming language, and with upcoming developments that are set to deliver greater functionality and speeds, it’s clear that it’s going to take some beating when it comes to the mechanics of the internet.

Introducing Python For CAD

15 Jun, 2022 By: Andrew G. Roe CAD Programming: Open-source language offers intriguing features for CAD programmers.

Of all the programming options available to CAD programmers, one of the more intriguing is Python. An open-source platform named after the British comedy troupe Monty Python, Python is a high-level, interpreted language, meaning the code is relatively easy to decipher and the development process is often faster than that of other languages.

In this article, we’ll take a brief tour of Python, looking at some key features that might be helpful to CAD programmers. We’ll also look at some of the different flavors, or implementations, of Python. We’ll then circle back and see how to use Python in conjunction with Dynamo, a tool we explored in previous articles. The terminology and nuances can be a bit confusing at first, but hang on through the tour to see what Python has to offer.

Why Learn Python?

As a high-level language, Python uses recognizable English keywords instead of cryptic phrases that only a computer could love. Its formatting is relatively simple, with minimal use of punctuation, curly brackets, and other symbols commonly used in other languages. For both new and experienced programmers, this makes Python fairly easy to learn.

Because it is an interpreted language, Python code does not need to be compiled before running — a considerable time saver during program development. The interpreter can be used interactively, allowing you to see results as you type code.

With high-level data structures such as flexible arrays and dictionaries, Python can be used as an extension language for customizable applications such as AutoCAD and MicroStation. In fact, the extensibility of Python allows you to interact with code written in totally different languages, such as C/C++ or Java. Python also lets you build modules that can be reused in other Python programs.

As an open-source language, Python is free to download, use, and distribute. Documentation is readily available on the Python website, along with a plethora of examples. Other websites and videos scattered across the internet offer additional examples and guidance.

Versions and Implementations

Just as many commercial software vendors offer different versions of their products, various open-source communities have developed different implementations of Python. The standard implementation, CPython, is generally referred to simply as Python. Written in C, as implied by the name, it is considered the baseline implementation, most aligned with Python standards.

IronPython is an implementation of Python based on the .NET runtime. You can load .NET assemblies into IronPython programs using an object-oriented syntax. You can also compile IronPython code into an assembly and run it standalone or invoke it from other languages.

PyPy is a variation developed to improve performance using just-in-time (JIT) compilation. By compiling Python code into machine language behind the scenes, PyPy can achieve significant speed gains on large programs.

For AutoCAD programmers, pyautocad is a Python library geared toward writing ActiveX Automation scripts for AutoCAD. It is helpful for working with coordinates, object iteration and searching, and data import and export. Certain Autodesk products, such as Civil 3D and Revit, also include a built-in version of Python in the Dynamo environment. More on this later.

On the Bentley side, Python developer shells are available for certain vertical applications. For example, Python-based software development kits (SDKs) are available for LumenRT, Bentley’s visualization and reality modeling software, and PLAXIS, a geotechnical analysis product. The Bentley visualization and geotechnical analysis user communities provide more information.

Several other flavors of Python are also available. The Python Package Index (PyPI) is a repository of various Python implementations.

Installing and Starting Python

To use Python outside of the Dynamo environment, first install it on your computer. A small fraction of Windows PCs have Python pre-installed, but chances are you will need to download and install it. To check to see if you already have it, enter python in a Command line window. If you see a response from a Python interpreter, you have the version identified in the initial display. If you need to install Python, you can find the latest version on the Python downloads page and follow the instructions to install it.

Once you install Python, you should see it listed on your startup menu, or you can invoke it from the Command line. The Python interpreter does not have a fancy interface, but the shell provides the basic tools to get started.

Syntax Fundamentals

Before learning how to write code in Python, check out the interactive nature of the interpreter by typing in a mathematical expression, such as 2+2, right after the Command prompt, which is Python displays the answer on the next line.

While Python is a high-level language that uses common English phrases, there are still some rules to follow. We won’t cover them all here, as the website includes thorough documentation, but here are some highlights:

As you’ve seen, you can type a numerical expression and the interpreter writes the value. The mathematical operators +, -, *, and / work just like in most other languages.

Strings, or text, can be enclosed in single quotes (‘Hello’) or double quotes (“Hello”) with the same result.

Lists can be written as a series of comma-separated values between square brackets. For example: Layers = [0, 1, 2, 10]

Functions perform specific actions. For example, the print() function writes the value of the argument(s) enclosed by parentheses.

Methods are functions associated with a particular object. Many built-in data types come with pre-defined methods, and you can also create your own methods.

A variety of logic and flow-control tools are available, such as if, for, and while statements.

Python code can be written with any text editor, though you may benefit by using more enhanced text editors like Visual Studio Code or Notepad++. From the Python shell interface, you can save your code for reuse by clicking File | Save and giving your file a name.

And Now for Something Completely Different Python and Dynamo

(Did you catch the Monty Python reference in the heading?) With some Python fundamentals covered, we can now turn to what Python has to offer CAD programmers. For AutoCAD programmers, one way to leverage Python code is via the Dynamo environment.

In previous articles, we learned how to use Dynamo to create a line, as well as how to use code blocks to simplify Dynamo scripts. By combining Python and Dynamo, you can combine tools from both environments to build custom applications. Autodesk products aid this process by including a built-in version of Python within Dynamo.

In Civil 3D 2022, both the CPython and the IronPython interpreters are available. This is primarily for compatibility reasons, as CPython is currently in version 3, while IronPython is only available in version 2. The version of Python available in other Autodesk products may vary by version, but the ability to access Python within the Dynamo environment has been a significant step for CAD programmers.

In our first Dynamo article, we demonstrated how to create an AutoCAD line using pre-defined point coordinates. The Dynamo graph looked like this:

Instead of using input nodes for each coordinate value, you can use a Python script to provide the same input for some or all of the nodes. To demonstrate, we’ll establish the Y2 value using Python:

1. Open a Civil 3D (or Revit) drawing and create a Dynamo session similar to the one above. (Refer to the first article for a recap of those steps. If you already worked through that example, you can reuse your script.)

2. In the Search box of the Library pane in Dynamo, type “Python” to access the Python environment. Click Python Script to add this node to your workspace.

3. Double-click in the lower portion of the Python Script node to open the Python Script editor. Notice near the lower-left portion of the window a drop-down showing the two versions of Python available. For this example, we’ll use CPython.

4. The Python Script editor includes numerous lines of boiler-plate code that you can ignore for now. Change the last line to read as follows:

OUT = Y2

5. Just above last line, insert a new line as follows:

Y2 = 76. Connect the output of the Python Script node to the Y-value in the Point.ByCoordinates node. The modified Dynamo graph should look like this:

7. Click Run in the lower-left corner of the Dynamo window to run your script. (You can skip this step if you’re running Dynamo in Automatic mode.) You should see a new line drawn with the Y-value generated by Python.

While this is a greatly simplified example for brevity, you can see how you can use Python to provide additional power to your programming toolbox. With Python’s more robust features such as logic and flow-control, along with Dynamo’s graphic environment for creating programs quickly, the sky is the limit for creating custom applications.

We’ll continue to explore how to use Dynamo, Python, and other tools in future articles. If you have specific ideas for programming topics, feel free to drop us an email.

Wireless MicroPython Programming With Thonny

I’ve been playing with a few MicroPython projects recently on several different embedded platforms, including a couple of ESP32 WiFi modules. There are various ways to program these modules:

Use a serial terminal and ampy (maintained by [devxpy] since being dropped by Adafruit in 2018).

If you use Pycom boards or WiFy firmware, there are the pymakr plugins for Atom and Visual Studio.

If you prefer the command-line like me, there is rshell by one of the top MicroPython contributors.

For over a year, I have been quite happy with rshell until I started working on these wireless nodes. Being lazy, I want to tinker with my ESP32 modules from the sofa, not drag my laptop into the kitchen or balcony to plug up a USB cable. Can’t I work with them wirelessly?

Well, you can use WebREPL. While its functional, it just didn’t strike my fancy for some reason. [Elliot] mentioned in a recent podcast that he’s using telnet to access his wireless nodes, but he’s using esp-link on an ESP8266, which means throwing another chip into the mix.

The Thonny IDE

I had all but given up when by chance I saw this video on the Dronebot Workshop channel about running MicroPython on the new Raspberry Pi Pico boards. Bill was using Thonny, a Python IDE that is popular in the education community. Thonny was introduced in 2015 by Aivar Annamaa of the University of Tartu in Estonia. Thonny was designed to address common issues observed during six years of teaching Python programming classes to beginners. If you read about the project and its development, you’ll see that he’s put a lot of effort into making Thonny, and it shows.

Leaning about Thonny got me curious, and after a little digging I discovered that it has WebREPL support for MicroPython right out-of-the-box. Although this is a new feature and classified as experimental, I found it reasonably stable to use and more than adequate for home lab use.

Installation and Connection

Instructions are clearly given on the project’s website. There is a downloader link at the top of the page for Windows. For Linux and Mac simply doing sudo apt install thonny or brew install thonny was all I needed. If you have a Raspberry Pi, you will find Thonny is pre-installed — version 3.3.3 was found on a recent Pi 4 in my lab. On an older Pi 3 however, Thonny was too old and simply reinstalling it didn’t work for me. Doing a sudo apt update, sudo apt upgrade, and then reinstalling Thonny resulted in the latest version 3.3.6.

For some reason, the Thonny found in the Ubuntu 20.04 and Debian Buster package repositories also weren’t recent enough. Rather than building from source, I used the provided Linux installation script that downloads and installs the latest release.

In order to connect to a module, you will use the Run -> Select interpreter… Menu. Here you pick which type of module to use, and which interface (USB or WebREPL). Note that you have to connect to your module over USB first and make sure that WebREPL is enabled in boot.Py. This is the normal method of enabling WebREPL in general — if your module already has WebREPL setup, you don’t need to change anything. Fill in the WebREPL URL and password — you should connect and be good to go.

Tweaks Thonny Connection Screen

By default, Thonny’s windows are stacked vertically. If you’re using a modern wide-screen monitor, you will probably want to rearrange the windows in Thonny so the editor and shell are side-by-side (see the feature image). This is done by adding ShellView.Location = e to the [view] section of the configuration.Ini file (see here). The e means East, and other compass points like se can be specified as well. For the systems I tested, the configuration file can be found in the following places:

I had no problems using the REPL manually, but I discovered an issue once you start testing self-starting applications with forever loops. If you are not careful, your application’s main loop can prevent you from regaining REPL control. The solution is to make sure your application sleeps for several milliseconds in the main loop. I tested with 100 ms (see here) and was always able to regain control. This shouldn’t be an issue in most home sensor applications, where the module may sleep for tens of minutes between readings.

By default, a Thonny installation doesn’t make itself visible for command line execution. On the computers I tested, you will find the Thonny executable in the following locations:

Raspi /usr/bin/thonny

Ubuntu, Debian (installed via installer script)~/apps/thonny/bin/thonny

Mac/Applications/Thonny.App/Contents/MacOS/thonny

WindowsC:\Users\\AppData\Local\Programs\Thonny\thonny.Exe

Multiple Modules and Instances

Thonny Modules Selection List

Thonny can support a variety of different modules. But if you want to connect to multiple modules at the same time, you need to run several instances of Thonny simultaneously. By default, only one instance is allowed. In the Tools -> Options -> General menu, untick the Allow only single Thonny instance checkbox.

I noticed one quirk on MacOS, however. For some reason, unchecking that option doesn’t work when launching the app from the GUI. There is a workaround — you can get multiple instances running if you start them from the command line.

One more annoyance — by default, Thonny will use the previous interpreter / connection when starting up. This is reasonable behavior, but causes a hiccup when talking to multiple boards simultaneously. Just ignore the plethora of error messages when Thonny instance #2 tries to connect to an already connected module, and use the menus to connect to the second device. There apparently isn’t any command line argument for a specific connection, but I have an inquiry pending on the GitHub project page.

Tip of the Iceberg

I have only focused on the WebREPL connectivity aspect of Thonny here, a functionality which seems to be uncommon in other MicroPython programming workflows. But this only scratches the surface of Thonny. Under the hood, it has a lot to offer that is hidden when you first open it.

And while I have been using its MicroPython mode of operation, Thonny was designed to aid students who are learning to write and debug “normal” Python programs running on desktop computers. If you frequently work in Python, I would encourage you to have a look at these aspects of the program — an object inspector, debugger, single-stepping, and a whole slew of other useful tools.

Thonny is also a multi-platform tool. While preparing this article, I tested it on MacOS, Windows 10, Debian, Ubuntu, and Raspberry Pi computers with no problems. The project is open-sourced under the MIT License.

At the very least, Thonny is a great solution for remote MicroPython programming of WiFi embedded modules. Check it out and give it a test run, especially if you’re lazy like me.

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8 Certifications To Prepare For AWS

As mixed cloud environments take hold and enterprises combine hosted infrastructure with private cloud and on-premises IT, networking professionals need to stay up on the latest developments in hybrid cloud and multi-cloud technologies. A good way to do that is by earning certifications.

There are plenty of certifications to choose from – which has its advantages and disadvantages. There’s no one prominent hybrid cloud or multi-cloud certification, most of them are vendor specific, and some of them overlap in terms of what they cover. That means network pros have to choose wisely when they’re considering which certifications to pursue.

“Different vendors, such as cloud providers or software providers, incorporate certification of hybrid and multi-cloud skills according to how they define and sell these types of products and services,” says Craig Lowery, vice president and analyst at research firm Gartner. “Sometimes the certification is labelled as a ‘hybrid cloud certification,’ and sometimes the hybrid skills are part of a larger skill set being validated, such as ‘cloud solution architect.’”

Vendors target the certifications to the organisations they sell to. “For example, an infrastructure provider would target engineers and technicians in an infrastructure and operations organisation, whereas a software development platform provider would target architects and developers in development organisations,” Lowery says.

Because there is no industry-standard view of hybrid and multi-cloud, there are few non-vendor organisations administering certification programs that are not aligned with a specific provider ecosystem, Lowery says. “The Cloud Native Computing Foundation’s Kubernetes certification program comes closest to this model, but is limited in that it focuses on one hybrid/multi-cloud approach—containers—among the many approaches that exist,” he says.

Choosing the best certification to pursue will be influenced by the technical environment and provider infrastructure that’s deployed where a certification-seeker works – or hopes to work in the future. In today’s hiring climate, with cloud skills in demand while supply is weak, there’s considerable upside for networking professionals who add to their hybrid and multi-cloud skillsets.

“Qualified individuals have more selection and compensation choices as they navigate their careers,” Lowery says. “Next to on-the-job experience, cloud certifications are the most important way to gain credibility in this job market. Networking professionals have even more opportunity with certifications for hybrid and multi-cloud skillsets, because connectivity is a core technical ingredient of these types of solutions.”

Here are eight cloud-related certifications to consider.

AWS Certified Advanced Networking – Specialty

Earning the AWS Certified Advanced Networking – Specialty certification validates expertise in designing and maintaining network architecture for the breadth of AWS services, according to Amazon Web Services (AWS).

The certification is intended for individuals who perform complex networking tasks with five years of hands-on experience architecting and implementing network solutions. To earn the certification, individuals need to pass the AWS Certified Advanced Networking – Specialty exam, which costs $300 and takes about 170 minutes to complete. The exam, delivered at a testing center or online, features a combination of two question formats: multiple choice and multiple response.

Before taking the exam, individuals should have professional experience using AWS technology and working knowledge of AWS security best practices, AWS storage options and their underlying consistency models, and AWS networking nuances and how they relate to the integration of AWS services, according to the vendor.

Also required are knowledge of advanced networking architectures and interconnectivity options; familiarity with the development of automation scripts and tools, including the design, implementation, and optimization of routing architectures and multi-region solutions for a global enterprise; and knowledge of Classless Inter-Domain Routing (CIDR) and sub-netting (IPv4 and IPv6).

AWS Certified Security – Specialty

The AWS Certified Security – Specialty program validates expertise in securing data and workloads in the AWS cloud environment. It’s intended for individuals who perform a security role and have at least two years of hands-on experience securing AWS workloads, the company says.

Before taking the exam, AWS recommends that individuals have five years of IT security experience in designing and implementing security solutions and at least two years of hands-on experience in securing AWS workloads. They should also have working knowledge of AWS security services and features and an understanding of security operations and risks.

Also recommended is knowledge of the AWS shared responsibility model and its application; security controls for workloads on AWS; logging and monitoring strategies; cloud security threat models; patch management and security automation; ways to enhance AWS security services with third-party tools and services; and disaster recovery controls.

Candidates also need to understand specialised data classifications and AWS data protection mechanisms; data-encryption methods and AWS mechanisms to implement them; and secure internet protocols and AWS mechanisms to implement them.

The exam, which costs $300 and takes 170 minutes to complete either in a testing centre or online, features a combination of multiple choice and multiple response formats.

CompTIA Cloud+

CompTIA Cloud+ is a global certification that validates the skills needed to deploy and automate secure cloud environments that support the high availability of business systems and data, according to the Computing Technology Industry Association (CompTIA), an association for technology professionals.

The certification views cloud-based infrastructure services in the context of broader IT systems operations, regardless of the platform. The reality of operating multi-cloud environments poses new challenges for organisations, CompTIA says, and the certification is ideal for cloud engineers who need to gain expertise across multiple products and systems.

CompTIA Cloud+ allows multiple training options, including self-paced learning, live online training, and custom training and labs designed to advance the career development of IT professionals in server administration, CompTIA says. Participants in the program will learn skills including cloud architecture and design, cloud security, cloud deployment, operations and support and troubleshooting. The exam takes 90 minutes and costs $348.

Google Cloud Certified Fellow: Hybrid Multicloud

The Google Cloud Certified Fellow: Hybrid Multicloud Program is for “elite cloud architects” and technical leaders who are experts in designing enterprise solutions, according to Google. The program recognizes individuals with deep technical expertise who can translate business requirements into technical solutions using Anthos and Google Cloud, it says.

The ideal candidate for the certification should be able to make a public impact as an Anthos evangelist, and it should be someone who’s actively engaged in the community, Google says.

The program, which is by invitation only and is free, consists of an exam that includes a lab-based assessment to demonstrate cloud skills, followed by a panel interview to demonstrate various skills and competencies.

Candidates must be a Google Cloud customer or partner and referred by a Google contact or an active Google Cloud Certified Fellow. The recommended tenure is more than 10 years of professional experience and more than one year of experience designing enterprise solutions with Anthos.

In addition, candidates should have strong engineering and technical experience and be able to design a hybrid multi-cloud solution that is scalable, reliable, secure, flexible, and cost-effective with Anthos. They should also have strong knowledge about designing for security and compliance; Anthos-related components to troubleshoot and diagnose problems; managing clusters and deploying workloads and services; Kubernetes architecture; open platform deployment; and other areas.

Google Professional Cloud Network Engineer

A professional cloud network engineer implements and manages network architectures in Google Cloud. This individual might work on networking or cloud teams with architects who design cloud infrastructure, according to Google, and leverages experience with network services, application and container networking, hybrid and multi-cloud connectivity, and security for established network architectures to ensure successful cloud implementations.

The Professional Cloud Network Engineer exam assesses an individual’s ability to design, plan, and prototype a Google Cloud network; implement Virtual Private Cloud (VPC) instances; configure network services; implement hybrid interconnectivity; and manage, monitor, and optimise network operations.

The multiple-choice exam takes about two hours to complete, and the registration fee is $200. Participants can take an online-proctored exam from a remote location or take an onsite-proctored exam at a local testing centre. Google says there are no prerequisites required, but it recommends three-plus years of industry experience including more than a year designing and managing solutions using Google Cloud.

All Google Cloud certifications are valid for two years from the date of certification. Individuals can recertify by retaking the exam during the recertification eligibility time period and achieving a passing score. They can attempt recertification starting 60 days prior to the certification expiration date.

Microsoft Certified: Azure Network Engineer Associate

Microsoft has many Azure certifications, including Azure Network Engineer Associate. Candidates for the certification should have subject-matter expertise in planning, implementing, and maintaining Azure networking solutions, including hybrid networking, connectivity, routing, security, and private access to Azure services.

Responsibilities for the role include recommending, planning, and implementing Azure networking solutions, according to Microsoft. Professionals in this role manage the solutions for performance, resiliency, scale, and security, and deploy networking systems by using the Azure Portal and other methods including PowerShell, Azure Command-Line Interface (CLI), and Azure Resource Manager templates (ARM templates).

“The Azure network engineer works with solution architects, cloud administrators, security engineers, application developers, and DevOps engineers to deliver Azure solutions,” the company says. Candidates for the certification should have expert Azure administration skills in addition to extensive experience and knowledge of networking, hybrid connections, and network security.

The certification exam, which costs $165 and does not have a retirement date, measures an individual’s ability to accomplish the following technical tasks: design, implement, and manage hybrid networking; design and implement core networking infrastructure; design and implement routing; secure and monitor networks; and design and implement private access to Azure Services.

Candidates for the certification can prepare for the exam using free online resources or by paying for instructor-led training.

NetApp Certified Hybrid Cloud Architect

NetApp Certified Hybrid Cloud Architect (NCHC) is NetApp’s expert-level certification. The vendor also offers associate-, professional- and specialist-level certifications in its hybrid cloud track.

Candidates for NCHC certification should have at least 12 to 24 months of field experience designing solutions for customers and architecting NetApp data fabric solutions in hybrid cloud environments. In addition, candidates taking the NCHC exam should be able to help customers in their journey to the cloud and provide architected solutions with the cloud providers, NetApp says.

The company says certificates will be granted to individuals who pass the NetApp Certified Hybrid Cloud Architect (NS0-603) exam plus one of the following cloud provider certifications: AWS Certified Solutions Architect Associate, Google Cloud Certified Professional Cloud Architect and Microsoft Certified Azure Fundamentals.

The exam, which costs $150, includes 60 test questions and an allotted time of two hours. Extra time is possible in countries where English is not the native language and for candidates whose first language is not English.

The exam covers areas including customer requirements for hybrid cloud; the ability to describe cloud cost management considerations; knowledge of the NetApp Hybrid Cloud, NetApp Hybrid Cloud Storage portfolio, NetApp Public Cloud Services portfolio, and NetApp Cloud Controls portfolio; knowledge of the architectural components of a hybrid cloud architecture; knowledge of designing for business continuity and data protection; knowledge of hybrid cloud network topologies; knowledge of how to scale NetApp Hybrid Cloud solutions; the ability to describe security considerations for a NetApp Hybrid Cloud environment; and others.

VMware Cloud Management and Automation 2022

The VMware Cloud Management and Automation certification validates an individual’s ability to install, configure and administer a VMware vRealize environment, according to VMware. The technology is designed to automate key processes within a data centre in a repeatable, scalable way that leads to efficiency and improved productivity.

Prior to taking the test for certification, the company recommends completion of its Technical Associate certification. For those with no previous VMware Certified Professional (VCP) certifications, the company recommends gaining experience with its vSphere 7.X and vRealize 8.X products, and it requires attendance at one of its training courses and passing a qualifying exam.

The 60-question test for VMware Cloud Management and Automation 2022, which costs $450, takes about 145 minutes to complete. Individuals can take the test remotely or at a local test centre. VMware says it includes a year designator with the certification because cloud management and automation solutions are frequently updated, and having a year as its certification version allows the company to better maintain the exam and training content and also shows how current individuals’ skills are in relation to other certifications.

AWS course in Noida

APTRON Solutions offers one of the Best AWS course in Noida. AWS Course in Noida has been designed as per the latest version to help the user to understand AWS’s global infrastructure, AWS cloud architecture, AWS migration tools, and the technical expertise to identify the AWS Solution according to organisation requirements. This course provides a detailed understanding of the AWS cloud-based platform to efficiently utilise AWS applications for managing data globally.

Data Science Certification For IT Leaders Looking To Get Ahead- APTRON Solutions

With the technology landscape in constant flux, getting certified on the latest tools and techniques can be a valuable way to advance your career — even for IT leaders.

Typically, CIOs consider certifications as a means for training up IT staff on vital skills around key initiatives such as cybersecurity Solutions, data analytics, AI, or the cloud. But certificates, even technical ones, can be an important part of any IT leader’s career journey, giving them hands-on experience, strategic insights into emerging technologies and methodologies, and the possibility to grow their peer network.

Saurabh Chandra, managing director at Boston Consulting Group, says, “Enterprises today demand customized solutions to meet their specific business needs. However, most CIOs have failed to keep pace with fast-changing technology. As a result, they procure solutions off-the-shelf rather than developing them in-house. This leads to IT not seamlessly aligning with business.”

Functions such as sales and marketing have all undergone a significant change, as has the technology needed for them to perform optimally. For instance, a lot of IT leaders don’t know that data today has three streams — sciences, visualization, and engineering.

“CIOs won’t get this knowledge from their peers. Certifications is a way through which CIOs can stay abreast with the latest,” Chanda says.

If leveraged properly, certifications can also assist IT decision-makers in their key leadership responsibilities. For example, Noidaesh Lamba, CIO of Shahi Exports, an apparel manufacturing company, acknowledges that “certifications have helped him perform better in board meetings, thereby making it easier to get approvals on IT spending.”

“Typically, CIOs from large technology companies have strong IT skills but poor communications skills, while it’s just the opposite for CIOs in customer-facing B2C companies. These technology leaders need to get certified in areas that they lack. While CIOs push their team to get certified, they need to come out of their comfort zones and follow suit,” says Chandra.

But the benefits of certifications won’t accrue automatically. IT leaders seeking to advance their skills and careers need to build a strategy aimed at squeezing the maximum value out of what certifications can offer.

Here, four CIOs share their experiences in pursuing certifications and offer advice on how to make the most of these valuable career advancement tools as an IT leader.

Create A Personal Learning Plan

With IT pros increasingly pursuing certifications in a wide range of trending technologies such as AI and the cloud, it’s tough for an IT leader not to just go with the flow and seek out the latest hot credentials. But going with the flow is exactly what Lamba of Shahi Exports cautions against.

“Every CIO should create his or her individual learning path. Instead of joining the rat race, he or she should come up with a personalized list of certifications to complete over the next 18 months. The courses should be shortlisted, keeping in mind both the individual’s interest and the organization’s need,” he says.

Lamba has charted out such a certification plan for himself. “I am passionate about AI and data science, and have systematically acquired certifications in these areas,” says Lamba, who is set to pursue his third certification in data science.

And, given the value of your time as an IT leader, it is important to ensure the certifications on your shortlist are truly valuable, says Sunil Mehta, senior vice president and area systems director for Central Asia at advertising agency WPP.

“There are certifications, and then there are certifications that matter. Getting certified after attending one to two hours of a local online course doesn’t add true value,” Mehta says.

Instead, Mehta advises taking structured courses from recognized sources, such as top universities.

“While hiring, companies often shortlist candidates with certifications from renowned colleges and universities. Some specifically ask for certain globally recognized certifications. A CIO’s chances of moving up the value chain increase if he has such certifications under his belt,” Mehta says.

Mehta earned a Certified Information Security Solutions Auditor certification in 2002 when, he says, “there were only 1,600 such certified professionals globally.” In addition to the CISA, he has an ISO 27001 Lead Auditor certification and is currently enrolled in a Certified Information Security Solutions Manager course — all best-of-breed and globally accepted certifications.

Put Your Knowledge To The Test

As is true for any IT pro, it’s vital for IT leaders to apply their newfound knowledge practically, or else the certification will end up being just a piece of paper.

Sourabh Chatterjee, president and head of technology, digital sales, and travel at Bajaj Allianz General Insurance, says, “At the end of the day, it is the content, faculty, and case studies of a course that cumulatively open the mind. Without implementing the knowledge thus acquired, a certification will only serve the purpose of self-gratification.”

Chatterjee, who has an executive MBA from INSEAD, has found an innovative way to apply this knowledge: He gets involved in projects, though not as a manager. “I take hands-on responsibility of a particular aspect of a project. It could be coding, designing, process flow, testing, or architecture. This not only helps me to put into practice what I learned in a certification course but also enables me to stay relevant by getting insights into crucial aspects of a project such as human behavior, technology, content, and motivation,” he says.

Similarly, Shahi Exports’ Lamba applied the lessons from his AI certification course to make a significant impact on production. In one of his earlier organizations, Lamba found a high rejection rate for a mid-product, which was moving ahead in the assembly line and impacting overall production.

“I had come to know about the disruptive power of AI through a certification course that I undertook from MIT Sloan School of Management. By implementing it, we were able to bring down the rejection rate from 6.2% to a mere 0.8%. This is also the best way a CIO can get the top management to sit up and take notice,” he says.

Move toward becoming a ‘business CIO’

Of course, IT leaders should focus not just on technical certifications but also on those that can enhance their roles as business strategists.

With technology so vital to every facet of the business today, CIOs need to think strategically in helping tackle the challenges confronting business units across the organization. This is where management development programs from reputable institutions can play an important role.

To strike a balance in his learning plan, Lamba keeps a 50:50 mix between hardcore technology certifications and those that hone his business skills. “For every AI and data science certification, I also undertake a business certification that helps in enhancing my behavioral and influencing skills, enables me to build a business case for technology, and aids me in transforming the IT department,” he says.

IT leaders should also consider broadening their knowledge of the industry in which they work, says Mayank Bhargava, chief technology and data officer at Pramerica Life Insurance.

Taking courses regularly in a particular industry domain can “lend an edge to a CIO,” Bhargava says. “If I have to remain in the insurance industry, I have to continuously build on my knowledge base.” This approach is similar to what several regulated or licensed professions require of their practitioners to ensure their skills remain current.

Bhargava has a Life Office Management Association (LOMA) certification, which provides information on insurance operations and products. To gain better understanding of how pricing and valuation work, he is planning to do a course in actuarial science soon.

“Completing LOMA certification and becoming a Fellow, Life Management Institute [FLMI] put me in the league of limited insurance professionals who had a global accepted certification for life insurance domain. This made me a preferred choice as a knowledgeable domain expert for my employer’s international life insurance clients, and brought better opportunities for growth, career enhancement, and further learning,” Bhargava adds.

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Geospatial Data Science And Technology Certificate

Delivery Options
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This certificate is for qualified professionals who want to enhance their skill set and can be a foundation to continue toward a graduate degree. It is also valuable for degree-seeking students looking to develop a concentration that gives them an edge in their career path.

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Prospective students can earn a graduate certificate in Geospatial Data Science and Technology fully online.

Credits

This graduate certificate requires a minimum of 9 total credits. Students may apply the credits earned for this certificate toward a graduate degree at APTRON Solutions.

Best Data Science Training Institute in Noida

APTRON Solutions offers Data Science course in Noida, the most comprehensive Data Science course in the market, covering the complete Data Science lifecycle concepts from Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building Prediction models, Data Visualisation and deploying the solution to the customer.

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The cell phone market is developing at a quick pace. This development is supporting the developing interest for portable application engineers. Facilitating business openings. This interest will keep on developing with more up to date and more up to date portable applications crosswise over Android and different stages. 2017 has been a game-changing year for the cell phone market, especially for Android and is expected to do well in the coming a long time also.

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