Study artificial intelligence with Google: these are the 10 free courses – 2024-04-12 15:44:37

2024-04-12 15:44:37

Google launched free courses for everyone those interested in acquiring or deepening their knowledge on topics of machine learning, generative AI, as well as advanced techniques, including the encoder-decoder architecture and the attention mechanism.

The educational offer ranges from introductory modules to intermediate and advanced levels. Additionally, all are designed to immerse students in the fundamentals and applications of artificial intelligence.

The courses are an opportunity for those interested in acquiring or deepening their knowledge on topics of machine learning and generative AI. (Illustrative Image Infobae)

Between the courses offeredthey find each other:

1. Introduction to Generative AI.
2. Introduction to Responsible AI.
3. Fundamentals of Generative AI.
4. Introduction to Large Linguistic Models.
5. Introduction to Image Generation.
6. Introduction to Generative AI Studio.
7. Encoder-Decoder Architecture.
8. Attention Mechanism
9. Create Image Subtitling Models.
10. Transformer models and BERT model.

These programs are not only focused on providing a theoretical education, but also include practical components such as projects and quizzes to assess progress. And one of the highlights is the ability to earn digital badges upon completing courses, thus evidencing the skills acquired in this field.

Among the courses offered is an introduction to Generative AI, which explains its basic principles and differences from traditional machine learning. (Illustrative Image Infobae)

This course was launched with the objective of explaining the use of Generative AI and Google tools for the development of own applications in this field. The course content is designed not only for clarify what constitutes Generative AI and how it can be applied.

The program is composed of videoconferences, reading materials and an evaluative questionnaireculminating in obtaining a badge that certifies the skills acquired by the participants.

And the training structure allows individuals, throughout a day of immersion, to access an introductory video, various texts and a specific questionnaire, aimed at consolidating the knowledge acquired.

This initiative seeks to educate about the importance of the ethical application of artificial intelligence. (Illustrative Image Infobae)

Lasting one day, this program is designed to educate participants on how responsible and ethical practices should be at the center of the development and use of AI technology.

This introductory course addresses the 7 principles of AI of Google, which are fundamental for the research, development and implementation of artificial intelligence technologies in the giant company.

The course content consists of a 9-minute video that introduces the concept of Responsible AI, followed by a 20-minute quiz aimed at assessing understanding of the topic.

The course represents an invaluable opportunity for those interested in consolidating their understanding of generative AI and demonstrating their competence in using ethical tools in the creation of AI applications. (Illustrative Image Infobae)

This educational module has a focus on the basic principles of generative AI, large language models and responsible AI practices, plus it is designed to be completed in one day. Although this educational program requires applicants to first complete the Introduction to Generative AI and Introduction to Responsible AI courses.

Upon successful completion of these modules, students must pass a questionnaire which assesses your understanding and ability to apply acquired knowledge in practical situations, underscoring the importance of ethical and responsible implementation of AI technology.

This innovation is today fundamental for the development of advanced artificial intelligence applications. (Illustrative image Infobae)

This free course offers a comprehensive overview of the Large Language Model (LLM) technology. An innovation is today fundamental for the development of advanced artificial intelligence applications, such as conversation assistants such as ChatGPT, automatic translation tools and text generation systems.

The study program is designed to be completed in just one day or through 8 hours of dedication, in which participants will be taught a solid foundation in the operation and use of LLMs. Attendees will have access to a 15-minute introductory video, 30-minute supplemental reading material, and the opportunity to evaluate what they learned through a 20-minute quiz.

The course seeks to explain in detail what large linguistic models are, highlighting their practical applications and how their customization can significantly increase their effectiveness. Besides, provides a look at the tools Google offers for generative AI developmentequipping interested parties with the knowledge necessary to embark on projects within this field.

For those who successfully complete the program, a badge will be awarded that certifies the knowledge acquired, representing added value for their professional development in the cloud and artificial intelligence sectors.

Course content includes a 9-minute introductory video and a 25-minute assessment quiz. (Illustrative Image Infobae)

This course focuses on diffusion modelsan emerging technology within the field of machine learning, which is revolutionizing the way images can be generated through algorithms.

The module seeks to provide participants with a solid understanding of the physical and thermodynamic principles that underpin diffusion models, highlighting their potential to create realistic visual representations.

This training promises to train those interested in how to train these advanced models and how to effectively deploy them using Vertex AI, a Google Cloud development tool. Additionally, those who successfully complete the program will receive a certification badge, which validates their skills in this innovative field of artificial intelligence.

The content includes a nine-minute introductory video and a 25-minute evaluation questionnaire. Additionally intended for technology enthusiasts and professionals seeking to expand their knowledge of contemporary imaging methods, this program makes cutting-edge educational resources available.

The educational offer of the technology company covers intermediate and advanced level modules. (Illustrative Image Infobae)

The following five courses are intended for those interested in more advanced aspects such as Encoder-Decoder Architecture and the Attention Mechanism, They offer a more technical and detailed understanding of these innovations.

While delving into practical applications such as Image Generation through diffusion models and the development of Image Subtitling Modelsteaching participants how to create their own AI solutions.

Finally, the course on Generative AI Studio iIntroduces users to concrete development tools that can be used to prototype and customize AI solutions.

To access the courses you must enter: www.cloudskillsboost.google/course_templates/

By: Infobae