Source: New Intelligence Element

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Recently, Google and Microsoft have both released their own AI courses, targeting beginners and providing hands-on teaching. Does this signify the expansion of the arms race in the field of artificial intelligence into the education industry?

Not long ago, Google and Microsoft, who have been engaged in an arms race in the field of artificial intelligence, almost simultaneously released their own courses on AI education.

—Is this a new battlefield?

Although the courses of the two companies both teach relevant knowledge of artificial intelligence, their current focuses are somewhat different.

This time, Google DeepMind has partnered with the Raspberry Pi Foundation to teach basic artificial intelligence knowledge to students aged 11-14.

—In contrast, when I was learning AI, I had already entered the bitter world of adulthood…

In the past, it was "start with children for computers," then it was "start with children for programming," and perhaps soon it will become "start with children for artificial intelligence"!

We can see that the course starts from the most basic AI concepts and deepens the understanding of concepts and principles through practical examples of using models for classification.

Even in the third lesson, students are made aware through cases of the biases in models caused by the deficiencies of the dataset.

After that, basic machine learning algorithms such as decision trees are also included, while also encouraging students to understand AI in real life and its applications in various industries through practice.

In this regard, it is very appropriate for Google and the Raspberry Pi Foundation to name the course "Experience AI."

Compared to Google, which starts teaching from basic knowledge, Microsoft has launched a tutorial on generative AI right from the start.

And the approach provided is quite hardcore, directly throwing out a GitHub code repository:

The tutorials inside are aimed at beginners, with a total of more than ten lessons, covering a wide range of topics in great detail.

Starting from setting up the environment, it introduces generative AI step by step, prompt word engineering, and various applications of generative AI, such as chat, search, image generation, low-code applications, and so on.

Each lesson comes with detailed text and illustrations, and even videos recorded by professional teachers.

In addition, due to the current relationship between Microsoft and OpenAI, we can also enjoy the services provided by OpenAI in the subsequent course study.

Microsoft has named the course "Generative AI for beginners," meaning a tutorial on generative AI for beginners.

Experience AI

Google states: Artificial intelligence has the potential to drive one of the greatest social, economic, and scientific transformations in history, and we need to ensure that this technology benefits as many people as possible.

One important way to achieve this goal is through gaining AI education to cultivate the next wave of thinkers, researchers, and AI leaders.

Equally important is to ensure that these new generations are diverse, bringing different perspectives, which is crucial for creating AI solutions that meet societal needs.

To ensure that every young person has access to AI education and resources, Google DeepMind and the Raspberry Pi Foundation have jointly developed this course.

This comprehensive introductory course teaches basic artificial intelligence knowledge to 11-14 year old students through interactive course materials, activities, and video tutorials. These materials are created by education experts and are in line with validated learning and development practices.

Each lesson provides detailed materials, such as lesson plans, slides, and activity materials.

The course also provides some overall mind maps.

Speaking of Raspberry Pi, familiar friends will surely think of that popular development board:

I wonder what kind of spark Google's course and the terminal hardware of Raspberry Pi will create?

Generative AI for beginners

Microsoft's course provides a comprehensive 12-lesson course to help beginners understand the basics of building generative AI applications.

Each lesson covers a key aspect of the principles of generative artificial intelligence and application development. You can even use this course to build your own generative AI startup.

We need to set up the required basic environment according to the steps in the Setup section.

First, install Python and miniconda, and then pull the code to your local machine:

Prepare an environment.yml file to create a conda environment with the necessary dependencies:

Then use the following command to create the conda environment:

After that, you can use your familiar IDE for development, and similarly, we can also use Jupyter.

Each lesson includes:

• A brief video introduction to the topic
• Written course in the README file
• Jupyter Notebook with code examples (for project-based lessons)
• Challenges or assignments to apply the learned knowledge
• Links to other resources for further learning

In addition, we can also join the community provided by Microsoft to interact and learn with partners from around the world.

Of course, for the giant Microsoft, launching a tutorial on generative AI is just the first step.

The official statement indicates that subsequent courses are under development, including areas such as machine learning, data science, web development, and the Internet of Things.

Reference: https://deepmind.google/discover/blog/empowering-the-next-generation-for-an-ai-enabled-world/?utmsource=twitter&utmmedium=social&utm_campaign=ExpAI

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