With the rapid rise of generative AI, a new era of innovation and creativity is upon us. Recognizing the need for skilled individuals to navigate this evolving landscape, Google has launched a collection of free courses aimed at equipping people with the necessary knowledge and skills in generative AI. Mirasys India has highlighted this initiative, emphasizing its potential to impact various industries and our interaction with technology.
Google’s new educational venture includes ten comprehensive courses designed to provide a solid foundation in generative AI and its applications. Aspiring learners can enroll in these courses at no cost via Google Cloud Skills Boost. Here’s an overview of what each course offers:
Introduction to Large Language Models (LLM)
Learners explore large language models, their use cases, and how prompt tuning can enhance LLM performance. The course also covers relevant Google tools and takes about 45 minutes to complete.
Introduction to Responsible AI
This course covers the importance of responsible AI, how Google implements it, and introduces Google’s seven AI principles.
Generative AI Fundamentals
Combining the first three courses, this program offers a skill badge upon completion of a final quiz, demonstrating foundational understanding of generative AI.
Attention Mechanism
This course explains the attention mechanism, a technique that enhances neural networks by focusing on specific parts of an input sequence, improving performance in tasks like machine translation.
Introduction to Image Generation
This course introduces diffusion models, which are popular in image generation. It covers the theory behind these models and how to train and deploy them on Vertex AI.
Encoder-Decoder Architecture
Learners get a synopsis of encoder-decoder architecture, used for tasks like machine translation and text summarization. The course includes a TensorFlow lab for practical implementation.
Create Image Captioning Models
This course guides learners on creating image captioning models using deep learning, detailing the encoder and decoder components and how to train and evaluate the model.
Introduction to Generative AI
This course explains the basics of generative AI, how it differs from traditional machine learning methods, and introduces Google tools for developing generative AI applications. The course duration is approximately 45 minutes.
Transformer Models and BERT Model
Participants learn about the Transformer architecture and the BERT model, including components like the self-attention mechanism and their applications in tasks such as text classification.
Introduction to Generative AI Studio
This course introduces Generative AI Studio on Vertex AI, which helps prototype and customize generative AI models. The course includes demos and a quiz to test knowledge.
Google’s commitment to fostering future AI talent is evident through this initiative. Upon completing the courses, participants receive a “Completion Badge” from Google Cloud, signifying their proficiency in generative AI.
These courses represent a significant opportunity for individuals eager to dive into the world of AI. With the tools and knowledge provided, learners can embark on an exciting journey, contributing to the generative AI revolution and driving forward the innovation and creativity it promises.
For more information and to enroll in the courses, visit Google Cloud Skills Boost.
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