With the rise of generative AI, a new wave of innovation and creativity is upon us. Recognizing the importance of equipping individuals with the skills needed to excel in this field, Google has launched a collection of free courses dedicated to generative AI. According to Mirasys India, these courses aim to provide the knowledge and tools necessary to thrive in the evolving landscape of AI.

Course Offerings:

  1. Introduction to Generative AI
    • Description: Explains what Generative AI is, its uses, and how it differs from traditional machine learning methods. Includes an overview of Google tools for developing Generative AI applications.
    • Duration: 45 minutes
  2. Introduction to Large Language Models (LLMs)
    • Description: Covers the basics of large language models, their use cases, and how to enhance their performance through prompt tuning.
    • Duration: 45 minutes
  3. Introduction to Responsible AI
    • Description: Discusses the principles of responsible AI, why it’s important, and how Google implements it in their products, including their seven AI principles.
  4. Generative AI Fundamentals
    • Description: Combines the knowledge from the introductory courses and offers a skill badge upon passing a final quiz, demonstrating a comprehensive understanding of generative AI.
  5. Introduction to Image Generation
    • Description: Introduces diffusion models for image generation, explaining the theory and practical application on Google Cloud’s Vertex AI.
  6. Encoder-Decoder Architecture
    • Description: Provides an overview of the encoder-decoder architecture for sequence-to-sequence tasks, including a hands-on lab using TensorFlow.
  7. Attention Mechanism
    • Description: Teaches the attention mechanism, a technique that enhances neural network performance for tasks like machine translation and text summarization.
  8. Transformer Models and BERT
    • Description: Explains the Transformer architecture and the BERT model, detailing their components and applications in tasks such as text classification and question answering.
  9. Creating Image Captioning Models
    • Description: Guides you through creating deep learning models for image captioning, including training and evaluating these models.
  10. Introduction to Generative AI Studio
    • Description: Introduces Generative AI Studio on Vertex AI, showing how to prototype and customize generative AI models.

Google’s initiative offers these courses for free and rewards learners with a ‘Completion Badge’ upon finishing. This badge serves as a testament to your mastery of generative AI, opening doors to exciting opportunities in the AI field.

Embrace the Opportunity

Google’s commitment to fostering the next generation of AI experts is evident in this initiative. Aspiring learners can access these valuable resources at no cost, making it an excellent opportunity to embark on a fulfilling journey in the realm of generative AI.

To sign up and start learning, visit Google’s Cloud Skills Boost platform.


Image credit: Dailynewsegypt