Difficulties with the Cloud skills gap today
Organizations who have moved their business technology tools to the cloud in an attempt to save costs claim that their investments have not yet paid off because of underdeveloped and subpar architecture, a shortage of personnel to handle complexity, and a backlog of projects to control cost overruns.
To get the most out of AWS, consumers must be assisted in developing their abilities. Customers run the risk of lowering total cost of ownership (TCO), requesting service repatriation, and participating in multi-cloud arbitrage without it. Customer competencies are a determining factor in AWS success.
Organizations are unable to build internal skills to support solutions, services, and enhance their AWS experience due to a shortage of competent labor.
Workforce skills are becoming more and more important for enterprises in order to stay up with generative AI and achieve real commercial outcomes.
AWS is continually innovating and adding new features and services to its AI/ML portfolio. By staying up-to-date with AWS AI/ML offerings, you can leverage the latest advancements in technology to build cutting-edge solutions and stay ahead of the competition. Let Mecer Inter-Ed guide you on your AWS learning journey.
Learning AWS AI/ML can open up exciting career opportunities, enable you to build scalable and cost-effective AI/ML solutions, and empower you to innovate and solve complex problems in various domains.
Generative AI will amplify the global cloud skills gap
Not only is the rapid evolution of generative AI creating new jobs across all industries, it’s changing the way we work and the skills we need, from entry-level roles to the executive suite.
According to Pieter den Hamer, Vice President of Research at Gartner, “Every job will be impacted by AI. Most of that will be more augmentation rather than replacing workers.” In fact, the World Economic Forum predicts that more than one billion jobs will be radically transformed over the next decade. In addition to the 5M unfilled cloud roles globally, AI/ML will drive 2.6 million new jobs by 2027, primarily across areas like data science, analytics, and digital transformation.
More than one billion jobs will be radically transformed in the next decade.
Nearly half of the workers’ core skills will be disrupted within the next 4 years, stay ahead of the curve! Upskill your team with Mecer Inter-Ed.
Below are a few more benefits of prioritizing cloud skills
Learning AWS artificial intelligence (AI) and machine learning (ML) offers numerous benefits:
Industry-Relevant Skills: AWS is one of the leading cloud service providers, and its AI and ML services are widely used across industries. Learning these technologies can make you highly employable and valuable in the job market.
Scalability: AWS provides scalable infrastructure for AI and ML workloads. By learning AWS AI/ML services, you can leverage the scalability of the cloud to handle large datasets and complex computations without worrying about infrastructure management.
Wide Range of Services: AWS provides a comprehensive suite of AI and ML services, including Amazon SageMaker for building, training, and deploying ML models, Amazon Rekognition for image and video analysis, Amazon Comprehend for natural language processing, and many others. Learning AWS AI/ML enables you to work with various tools and services tailored to different use cases.
Integration with Other AWS Services: AWS AI/ML services seamlessly integrate with other AWS services, such as storage (Amazon S3), database (Amazon DynamoDB), and analytics (Amazon Redshift), allowing you to build end-to-end AI/ML solutions within the AWS ecosystem.
Flexibility and Customization: While AWS offers managed AI/ML services for ease of use, it also provides tools and frameworks for building custom solutions. Learning AWS AI/ML gives you the flexibility to choose the approach that best fits your project requirements, whether it's using pre-built services or developing custom solutions.
Community and Support: AWS has a large and active community of developers and data scientists. By learning AWS AI/ML, you gain access to a wealth of resources, including documentation, tutorials, forums, and user groups, which can help you accelerate your learning and problem-solving.
AWS-authored Training equips your organization with practical generative AI knowledge and skills that maximize your AI and ML investment and accelerate transformation.
AI and ML training is a critical investment. While generative AI opens a world of innovation, it requires infusing skills into your organization that empower people to work alongside rapidly evolving technologies.
AI and ML have been a focus at Amazon for over 25 years. Many of the capabilities our customers use are driven by ML, from our e-commerce recommendations engine to Alexa. Dive into training based on what we use for our own teams, designed at the source and authored by AWS experts.
Training for all levels and roles. No matter where you are in your cloud journey, we equip organizations of all sizes and industries with the knowledge and skills to understand, implement, and innovate with generative AI.
Customized training to accelerate your specific transformation goals. We’ll help you design a comprehensive training plan focused on the business outcomes that are most important to your organization. Contact Mecer Inter-Ed today to upskill your team!