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Microsoft is rapidly expanding its Generative AI by integrating GenAI into its products and services and offering AI. These free courses help anyone acquire skills to learn and build skills. Courses are not just theory-based classes; instead, these courses are a practice-based approach.

Microsoft has released several AI courses that include modules like AI, IoT, Data Science, and Machine Learning, through which anyone can learn different aspects of AI—building machines and systems to make it easier to deal with repetitive tasks, which typically require human resources. However, with AI, there are various domains it can be helpful in, like healthcare, business, entertainment, and more.

How to Join

You can join the Microsoft AI and ML course for free by heading over to the Microsoft Website, and then by joining, you can start learning all these modules on the platform for free.

Generative AI Fundamentals

Before you enroll in Generative AI, it is a subset of Artificial Intelligence that focuses on generating content such as images, text, music, etc. With the Microsoft AI Course Module, you will learn about the principles and applications of Generative AI, like Generative Adversarial Networks (GANs), variational autoencoders (VAEs), transformers, etc.

Generative AI is a simulation of human intelligence in machine learning, which is programmed to think and copy their actions. This Great Learning brings much flexibility to learning and understanding working with the most demanding computing tools.

Microsoft Free AI Courses Module

Before starting, review these Microsoft Courses and check out these modules.

We will go through each module to learn about Machine Learning for beginners, focusing on Key Ideas. Here, you will learn about the data, models, and ML. This includes the types of ML problems, classified into classifications, regression, clustering, and recommendations.

Artificial Intelligence (AI) for Beginners

If you are a beginner, start with this module, which goes through the basic knowledge of AI. It includes 24 lessons aimed to be completed within 12 weeks. In this module, you will learn symbolic AI, neural networks, computer vision, natural language processing, and much more.

Internet of Things (IoT) for Beginners

This module helps you make better decisions in real time. IoT will help with analyzing and acting on the data. Like the last module, you have different pre- and post-lesson quizzes, assignments, and things to make it more straightforward. This module has four different components: the sensor, connectivity, data processing, and user interface. While learning the components, you also know about manufacturing, transportation, energy, agriculture, retail, and government to make the process more efficient and provide more value to customers.

Machine Learning for Beginners

ML is based on learned patterns, and ML models work by depending on the patterns to generate output based on commands or user prompts. It takes 12 weeks to complete all 26 lessons. This module does not cover the advanced topics since it is essential. Moreover, it covers classic Machine Learning. During the modules, multiple pre- and post-lesson quizzes provide written instructions to complete the lesson, solutions, assignments, and more.

class="wp-block-heading">Data Science for Beginners

This module will introduce you to Data Science concepts and tools for data analysis. It takes almost ten weeks and has 20 lesson courses while completing pre- and post-lesson quizzes. Moreover, along with the lessons, you have assignments to test your knowledge, and the project-based pedagogy allows you to learn while you create.

Conclusion

As many professions and businesses now consider AI for repetitive tasks to increase productivity within the workspace, some believe AI will replace humans. I do not know about that, but people who have been using AI have the potential to replace those who have not. Do consider learning, especially when the course is free, and learning AI and ML basics is essential for all.

AI will create many opportunities within the sector and complement their skills, redefining roles to help users with research, data analysis, and more. This is an incredible opportunity to learn AI and ML from the experts at Microsoft for free to level up your skills.

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