We live in interesting times. Generative AI is changing the world as we know it. Innovations in the tech space keep happening all the time and talks of the age of AI is here have been happening for as long as one can remember. But this time, Generative AI does feel like a real big leap. Learning AWS could be that missing piece you were looking for to change the pace you move ahead in your career. But how does AWS help build and ace a career in Generative AI? Read on to find out as we give you not one, not two, but ten reasons for this.
- AWS – One of the best-suited platforms for AI development
AWS is one of the best cloud computing platforms with the highest market share for so long now. It offers businesses the potential to build transforming solutions that have kept up with the changing times. With AWS skills in your repertoire, your AI career gets a valuable boost, helping you build more robust, flexible, and scalable AI solutions with ease.
- Rapid Innovation pro-max level with AWS
From startups to large MNCs, businesses of all sizes find AWS a good fit for their cloud needs. It offers a unique environment for tackling the challenges of Generative AI development. Some of the world’s best foundation models can be found on the Amazon Bedrock platform. With AWS, you get to choose from a range of high-performing foundation models offered by leading AI companies in the world. There are also layers of abstraction being built on top of these foundational models, giving users the freedom to choose which model would work best for their needs.
- Make your vision a reality with AWS
In a rapidly evolving world, there is an incessant need to turn ideas into reality, and quickly at that. AWS offers cutting-edge tools, large and flexible compute power, as well as everything empowering you need to bring your vision to life. What you build is important, but so are the tools you need to build what you are building. AWS gives you a front-row seat to see the transformation first-hand. If you master the AWS skills, you also get to be a part of this revolution.
- Fostering Collaboration with AWS
To build generative AI solutions and applications at transformative scales, one ingredient is critical – collaboration. It cannot be achieved in silos. There couldn’t be a better platform to encourage and support collaboration efforts than AWS. AWS makes working with the best large language models and multimodal models so much easier.
- Developing AI solutions, but responsibly
There is a growing need to focus on ethics and responsible development in AI. We need to understand the bias, the ethical considerations, inclusivity, and so much more when building Generative AI solutions. Luckily, AWS believes the same and their approach to Generative AI is all about responsible development. AWS takes a responsible, proactive, and multi-stakeholder approach. This fits perfectly when building all solutions, especially generative AI solutions. With AWS skills, this can be a very productive and supportive association for your AI career.
- Reason # 6: Be a leader, think about all the stakeholders
The best AI solutions are the ones that solve problems for the users, often problems users themselves didn’t realize they had. Just because something works smoothly doesn’t mean it can’t be improved and generative AI helps do that. AWS will give you independence and be the perfect partner for delivering the impact you have in mind for your generative AI solutions.
- Freedom to continue building and expanding AI skills
The world we live in changes faster than most of us can keep pace with. The only way to keep up is to keep upskilling, building, and expanding your skills. But upskilling cannot be very successful without practice and experience once the skills are learned. To do this, you need platforms and tools that can help implement the new concepts and skills you learn. AWS gives you that. As AI evolves and grows, so will AWS, and so can the solutions you build, as well as your AI career.
- Reason # 8: Building solutions that have a real impact
No matter which domain or which section of the population you build your generative AI solutions for, AWS will be the partner that helps deliver a real impact. Healthcare or sustainability, manufacturing or pharmaceuticals, AWS has been trusted by businesses across industries, offering infinite possibilities. When solving the problems of the world with AI, robust cloud platforms can be the difference between always available and a crashed application.
- Supporting diversity and inclusivity
So, your team is located around the world? No problem. You have diverse perspectives in your team and need a platform that can take everything into account? No problem. Working across time zones? No problem. For diversity and inclusivity that goes beyond roles, disciplines, and experiences, AWS is the platform to watch out for. It also relates to responsible development. Sharpen your AWS skills and be empowered to support diverse perspectives and backgrounds with ease in the solutions you build.
- The world beyond imagination
While the world is evolving, throwing to the fore innovations we never imagined, then why can’t your AI solutions go beyond one’s current imagination? When you have mastered AWS, you open up a world of opportunities to build something nobody ever imagined before. There is a green and abundant world beyond imagination, waiting to be unlocked. Finding new solutions to old problems, solving issues that matter, and changing the world as we know it, and the way things work and operate, all begin with an idea. To support those ideas, cloud computing platforms are indispensable in these times. AWS is the answer.
That’s ten reasons for you to learn AWS and accelerate your AI career. So, get AWS certified and leap ahead!
Get AWS Certified to Future-Proof Your Career
As businesses undergo digital transformation, their consumption of IT systems and services undergoes a parallel evolution. Simultaneously, major cloud providers release a staggering array of features and services every year, a pace that far surpasses the traditional hardware development cycles of the past.
Those entrusted with the responsibility of architecting solutions in this dynamic environment must continually adapt and equip themselves with the skills needed to thrive in this new landscape. The role of an AWS Solutions Architect has undeniably evolved over the years, shaped by the forces of technological innovation and the demands of the cloud-native era.
Embracing this evolution and remaining well-versed in the ever-changing AWS ecosystem is essential for architects tasked with designing solutions that meet the evolving needs of businesses in the modern IT landscape. By doing so, AWS Solutions Architects can navigate the complexities of this transformative journey and continue to deliver value in an industry defined by perpetual change and innovation.
Enroll in Cognixia’s cloud computing with AWS training course and upgrade your skill set. You can influence your career and future with our hands-on, live, highly interactive, and instructor-led online course. You may benefit in this competitive market by providing an extremely user-friendly online learning experience. We will assist you in improving your knowledge and adding value to your talents by offering engaging training sessions.
Cognixia’s AWS cloud computing certification course discusses the basics of AWS & cloud computing, then moves on to more advanced concepts, like service models (IaaS, PaaS, SaaS), Amazon Private Virtual Cloud (AWS VPC), and more.
This online AWS cloud computing course will cover the following concepts:
- Introduction to AWS & Cloud Computing
- EC2 Compute Service
- AWS Cost Controlling Strategies
- Amazon Virtual Private Cloud, i.e., VPC
- S3 – Simple Storage Service
- Glacier
- Elastic File System
- Identity Access Management (IAM)
- ELB (Elastic Load Balancer)
- Auto Scaling
- Route53
- Cloud Formation & Cloud Former
- Simple Notification Service (SNS)
- CloudWatch
- Relational Database Service (RDS)
- CloudFront
- Elastic Beanstalk
- CloudTrail
- AWS Application Services for Certifications
Prerequisites
All you need to know to enroll in this course is basic computer skills. Some experience with Linux would be advantageous, but it is not required.
The course is perfect for network engineers, system administrators, and aspirants who have a solid understanding of coding principles or procedures and wish to further their expertise.
