The AI-900: Microsoft Azure AI Fundamentals exam is a crucial milestone for anyone looking to delve into the world of artificial intelligence and machine learning, especially within the Azure ecosystem. This exam serves as an essential foundation, covering a broad range of AI concepts and Azure services. It encompasses critical topics like AI workloads, machine learning principles, computer vision, natural language processing, and the emerging field of generative AI. These skills are not only pivotal for current technological trends but also hold immense future potential as AI continues to evolve and integrate into various sectors.
Azure SQL Database’s Automatic Tuning feature marks a significant leap in database management, introducing a seamless, AI-driven approach to optimizing your SQL workloads. In this post, we’ll delve into how Automatic Tuning works, its key features, and the customizable options it offers. Additionally, I’m excited to share a comprehensive guide available in my GitHub repository that provides a step-by-step tutorial on harnessing this innovative service. How Automatic Tuning Works Azure SQL’s Automatic Tuning is a cutting-edge service designed to simplify and enhance database performance management.
Introduction In the rapidly evolving landscape of artificial intelligence, certain innovations stand out, heralding new horizons for both technology and society. One such forefront organization is OpenAI, which has become synonymous with cutting-edge AI research and applications. Established with a mission to ensure that artificial general intelligence benefits all of humanity, OpenAI has been at the vanguard of a specific AI niche that’s been capturing imaginations worldwide: generative AI. Generative AI refers to models and algorithms designed to produce content.
The Microsoft Certified: Azure Developer Associate certification enables you to implement solutions on Azure while leveraging the tools and services available. This is an intermediate level certification, so I would recommend you to set aside some time to study for the exam and practice using some of the services related to this exam - ‘Practice makes perfect’ In this study guide, I will share with you some of the useful resources you can use to guide you during your learning path to get this certification.
Image credit to Viktoria Semaan Introduction Obtaining an AWS (Amazon Web Services) certification can be a significant milestone in your career, demonstrating your expertise in cloud computing and opening doors to exciting job opportunities. However, the pressure of certification exams can sometimes lead to nervousness, resulting in suboptimal performance. To alleviate this concern and promote learning, AWS offers a valuable promotion called the AWS Certification Free Retake. In this blog post, we will delve into the benefits of the free retake program and outline the steps to take advantage of this opportunity.
Image credit to AWS News Blog - https://aws.amazon.com/blogs/aws/new-aws-sam-local-beta-build-and-test-serverless-applications-locally/ Introduction Developers creating serverless applications now have the capability to construct AWS Serverless Application Model (SAM)-powered applications with the latest AWS::Serverless::GraphQLApi resource abstraction, enabling seamless integration with AppSync. AWS AppSync, a managed service facilitating the development of scalable APIs connecting applications to data through a GraphQL endpoint, further simplifies the process. Why use AWS Serverless Application Model (SAM) The AWS Serverless Application Model (SAM) is a framework, available as open-source, designed for the construction of serverless applications.
Introduction Artificial intelligence (AI) is transforming the way we live and work. From chatbots and virtual assistants to self-driving cars and predictive analytics, AI is already changing our world in countless ways. However, with great power comes great responsibility. As organizations adopt AI and build AI solutions, it’s crucial to prioritize responsible AI to ensure that these technologies are used ethically and equitably. Responsible AI So, what exactly is responsible AI?
Hi there 😊 Below follows a compilation of resources I used to study and pass the exam. Hope you find it useful. To support my work, I appreciate if you can take a minute to share the post on social and tag me to acknowledge this was useful for you. Please share it to support my work Feel free to reach out if you have any questions or need any help during your study journey.
Exam Overview The AWS Certified Cloud Practitioner exam is a certification exam offered by Amazon Web Services (AWS) that tests an individual’s understanding of the AWS Cloud. The exam covers a range of topics including AWS services, architecture, security, and pricing. The AWS Certified Cloud Practitioner certification is useful for individuals who want to demonstrate their understanding of the AWS Cloud to potential employers, customers, or partners. It is also a good starting point for those who want to progress to more advanced AWS certifications.
Introduction Traditionally, many services and online systems would ask you for a username and password when you need to authenticate and identify yourself before using that given service or system. But, the evolution of security in Web and Tech shows that these traditional methods may not be the most secured ways to manage your accounts and authenticate on the different services and apps you use. This is where new authentication standards such as FIDO2 are useful in battling all those issues, including scenarios that you compromise your credentials and passwords.