According to Google CEO Sundar Pichai The rising importance of artificial intelligence in the Indian economy has been brought out lately due to the promise of digital transformation In a roundtable interaction with Prime Minister Narendra Modi held in New York. Sundar Pichai recalled the Prime Minister indicating the urgency to modernise India with a digital image and seeking the possible ways of using artificial intelligence in health, education and other areas. Days of access with top technology leaders.
After the deliberation, Sundar Pichai elaborated that the Prime Minister has an agenda of pursuing “Made in India” and “Indian Design” which is still a work in progress. This focus has seen Google set up manufacturing base for Pixel phones in India which is impressive in contributing to the digital economy of India. Pichai underlined that the Prime Minister does wish that the artificial intelligence should be utilized for the welfare of the citizens of India. He also mentioned that Prime Minister Modi has encouraged this. technology industry Investigate the uses of artificial intelligence in the fields of medicine educative, agricultural and others.
Furthermore, Sundar Pichai stressed that the Prime Minister is not just considering the huge potential of AI in such industries, but also paying attention to the building of the required architecture, including data centers and energy solutions, to enable this change. Such collaboration models include towards exploring further AI prospects in the country with the Ministry of Electronics and Information Technology (MeiTy) Ministry of Agriculture and Health and other government institutions agog initiative launched by Google in India.
Given these recent partnerships and investments in AI, Google is also enlarging its education scope, as it is providing various AI courses in others. The purpose of such courses is to equip people with relevant skills that are likely to be relevant in the changing face of technology.
7 popular Artificial Intelligence courses offering by Google in 2024
Those who desire to pursue a career in management of artificial intelligence can take advantage of a number of online free courses from Google which are certified. Therefore, these courses would be appropriate not only for newcomers but also to those professionals who are eager to strengthen their knowledge of artificial intelligence.
Introduction generative artificial intelligence
This course explores the basic concepts of generative artificial intelligence: its nature, working and the range of applications it may have. Learners will look at some of the technologies that make it possible to create imaginative works of art: images, music and text.
Introduction to large language models
It discusses basic information about large language models (LLMs) and explains the ways of training such models and using them to comprehend and generate language similar to that of humans. The course also includes the use of such tools within the field of natural language processing and ways in which such tools can be employed in complex language based problems.
Responsible artificial intelligence: an introduction
This course examines the met and unmet challenges in the responsible development and use of artificial intelligence. It stresses the need to design and deploy technology from a societal perspective thereby addressing the problems of equity and malicious use of technology.
Introduction to image generation
Targeted at learners interested in the area of computer vision, this session covers the basics of generating images with the help of artificial intelligence. Participants will understand how to use deep learning techniques to generate images and learn the frameworks of how these technologies work.
Encoder-decoder architecture
In this course, students will be exposed comprehensively to the encoder-decoder architecture, a design principle that is widely used in machine learning. A comprehension of how the architecture can be applied in various AI works, for instance, in converting inputs into outputs to facilitate language translation and even in providing subtitles for images.
Attention mechanism
The participants will understand the attention mechanism in detail, which is a highly developed area in deep learning that helps models to concentration on a certain portion in the input material. This course deals with their contributions to neurals networks progression with relation to language processing or machine translation’s context.
Generative Artificial Intelligence Basics
This general course presents the notions of the generative artificial intelligence and covers some levels of the general understanding of the targeting generative models, namely GANs and VAEs. It opens a gateway to anyone who wants to comprehend the underlying principles behind the creativity of artificial intelligence.
