Survive The AI Evolution

AI is changing how we work, making tasks easier and faster. One of the biggest shifts is how AI is closing the gap between different technical skills. Imagine a scenario where a Python developer needs to write code in R for a data science project. Traditionally, they would rely on an R developer, but now, with AI-powered tools like ChatGPT or GitHub Copilot, they can simply write the code in Python and ask the AI to convert it to R. Thus, eliminating the need for an R developer.

In the current scenario, AI is not replacing humans but empowering us. AI allows companies to accomplish more with fewer professionals, thus eliminating some jobs. To stay competitive in this scenario, we need to be perfect in using AI to accomplish the majority of tasks in the project lifecycle.

So, staying fluent in one or two technologies is not enough anymore. We need to have experience in handling end-to-end pipelines, thus, we can make use of AI and speed up the development process. To know more about staying competitive in the job market, read our article on “The Growing Need To Be A Full-Stack Data Science Professional”

Cloud computing is a must-have skill in today’s job market. Companies are moving their workloads to cloud services, and AI-driven applications are increasingly adding the need to use cloud infrastructure. Learning cloud solutions and their capabilities can give us an advantage and keep us ahead of others in the job market. Cloud architecture is the backbone of modern AI and data-driven solutions.

Today, let’s learn about Microsoft Azure, which is a widely used(21% market share) and accepted cloud provider along with others such as GCP, AWS and IBM. Azure offers valuable Microsoft certifications that can boost your resume. Compared to other platforms, Azure stands out with its strong enterprise adoption and integrated AI support tools (Microsoft co-pilot).

So, to learn Microsoft Azure for free, refer to our article in Medium.

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Thanks and regards,
Pruthvi Batta
AI ML Universe