The new AWS Certified Security – Specialty (Beta) exam is available now. Perfect timing! You can study up with the new Security on AWS Quest. Click here to enroll (enrolling is free). Get hands-on experience working with real use cases in the AWS Console while learning the practical applications of critical AWS security concepts and strategies.
Here’s what you should know about the new exam:
For a limited time, sign up and get beta pricing. That’s a 50% discount (normally $300, now $150 – but register soon, the promo won’t last).
In your next job upgrade, with this exam on your resume, target IT security-related positions around the world. According to Glassdoor.com, the average salary for an “IT Security” position is $95k in the US. Fine print: this isn’t a guarantee of any future salary in any way (but it’s a pretty compelling reason to explore opportunities).
There are some eligibility requirements for this exam. For starters, you will need one of the following current AWS Certifications: AWS Certified Solution Architect – Associate, AWS Certified Developer – Associate, or AWS Certified SysOps Administrator – Associate. Qwiklabs can help you study up for those, too. Check out the Solutions Architect – Associate, Developer – Associate, or the SysOps Administrator – Associate exam prep Quests.
Heading AWS re:Invent-ward? Pre-register for an AWS Certification exam at re:Invent and get your hands on these exclusive benefits:
Study up with 25 free Qwiklabs credits. Register for an onsite exam by Nov. 8 (11:59 PM PST) and you will get 25 free Qwiklabs credits (rewarded to your Qwiklabs account Nov. 9). Don’t have a Qwiklabs account yet? No worries, sign up by Nov. 8 and one will be created for you, with 25 credits ready and waiting. Already pre-registered? Your name’s on the list and you will see your reward Nov. 9. Click here for full details.
Use the credits however you want! But may I suggest enrolling in one of the AWS Exam Prep Quests (you can add a Quest badge to your resume too – show off your “flight hours” with the AWS Console!):
Developer-Associate Exam Prep Quest: Practice fundamental and advanced concepts for working with Amazon Simple Storage Service, AWS IAM, Amazon DynamoDB, Amazon API Gateway, AWS Lambda, AWS Elastic Beanstalk, AWS Security Token Service, Amazon CloudFront and Auto Scaling.
Completing a qwikLABS quest and earning a badge is a huge accomplishment – and one you should be proud of. When you earn a badge, you demonstrate to the world that you mastered a skill set with Amazon Web Services. Not only that, you have real, hands-on experience with the AWS Console. Whether you earn a badge on your own or your employer sponsors your qwikLABS lab work, your badge is undeniably yours. You earned it!
By default, your badge is not public when you first earn it. You maintain total control of what information is shared, when, and how. You can post a link to your badge anywhere you want (online profiles like LinkedIn, Facebook, Twitter, etc.), you can send links to badges through email, and you can even copy/paste a link onto your resume. But first, you have to choose what information to share and make your badge public!
Profile roulette anyone? Here's what a badge looks like.
Today we’re announcing a new quest, and it’s all about Alexa! Have you met her yet? Alexa is the voice behind the Amazon Echo, Tap, and Dot devices. The technology is at the cutting edge of voice design.
You do not need an Alexa device for this Quest. Testing tools and an Alexa voice simulator are available in the Amazon Developer Portal (same great Alexa voice, just through your browser).
The new Alexa Quest walks you through creating 5 different types of Alexa Skills. “Skills” are very similar to apps, but instead of your phone or tablet, you use them on an Echo device. You learn how to design each type of interaction between the skill and the user (practical applications of voice design), as well as the AWS Lambda infrastructure that runs behind the scenes.
As you go through the Quest, you will download templates for each type of skill you create. After completing the lab, the skills you build in the lab will remain in your Amazon Developer account. You can customize them to build your own skills. Plus, you can add this badge to your CV!
Here’s a sample of what you’ll do in your Quest (should you choose to accept it):
2. Working with Alexa: Build a Fact Skill – This is a good first-time Alexa Skill project. Familiarize yourself with the practical applications of voice design as you learn to set up interactions between your users and your Alexa skill.
3. Working with Alexa: Build a How-To Skill – This skill’s interactions are a little more complicated so you will get an in-depth look at setting up utterances and custom slots. Minecraft-ers, you will like this template.
If you haven’t met Alexa yet, head over to this browser-based simulator and say hi. Planning to publish your own Alexa skill, or interested in more Alexa resources? I’ll share my Alexa experience here tomorrow. You can learn from my mistakes 🙂
Tweet us (@qwikLAB) when your Alexa skill is live with the hashtag #AlexaQuest. You can be one of the first developers to publish an Alexa Skill – and get the t-shirt to prove it!
Seriously looks like a great party, but even more seriously, take things into your own hands and get into NVIDIA technology, fast. Check out these live, hands-on labs and learn to program GPUs with C++, or Python, or Fortran, or MATLAB – any place, your pace. Check out labs on OpenACC and Deep Learning too (Intro to Deep Learning is free!).
What’s a Quest, you might ask? And why should I care? Each Quest consists of a collection of labs that focus on a specific area of GPU computing and practical use cases. At the end of a Quest, you get two things:
Advanced knowledge of that specific area of GPU computing
A shareable badge to show what you accomplished (looks great on your resume, social media profiles, and more!)
Why should I take the Deep Learning Quest? Deep learning is helping to solve big data problems such as computer vision (self-driving cars!), speech recognition, and language processing. NVIDIA provides high-performance tools and libraries to power these applications, and qwikLABS puts practical training, curated by experts, into your hands. Earn your Deep Learning Badge today!
As promised, here are a few snapshots of the conference. Have you checked out the self-paced labs yet?
Don’t have the bandwidth to finish a Quest between now and the 31st? No worries – there is no time limit on Quests. Enroll in a quest now, take advantage of as many labs as you’re able to (in any order you want) at no charge, then finish at your own pace later (after March 31, you may have to pay for some labs).