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Google Cloud's Comprehensive Guide to Generative AI Training

From Basics to Mastery: Generative AI Training on Google Cloud.

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A Deep Dive into Generative AI Implementations on Google Cloud.

Generative AI on Google Cloud: A Comprehensive Overview

Generative AI, a subset of machine learning and artificial intelligence, is gaining significant traction in the tech world. Recognizing its potential, Google Cloud has introduced new training content to help individuals, from novices to experts, understand and harness the power of generative AI. This article delves into the details of these offerings and their implications.

The Rise of Generative AI

Generative AI is a machine learning approach that’s capturing attention for its ability to create new content, be it text, images, or even music. Google Cloud, with its commitment to advancing AI technology, has curated resources to help users understand generative AI’s potential and its application in various business scenarios.

Training Options for All

Google Cloud has unveiled new generative AI training options on its platform, Google Cloud Skills Boost. Catering to a diverse audience, they offer:

  1. Introduction to Generative AI Learning Path: Tailored for a non-technical audience, this path provides an overview of generative AI. It’s ideal for professionals in sales, HR, marketing, and operations.

  2. Generative AI for Developers Learning Path: Designed for technical practitioners, this path delves deeper into the intricacies of generative AI. It includes hands-on labs and courses and requires prior introductory training.

For those with time constraints or specific interests, individual courses and labs are available, allowing users to customize their learning journey.

Real-world Applications

Generative AI, powered by Google Cloud technology, is revolutionizing business operations. From enhancing customer interactions to streamlining business processes and assisting developers, the applications are vast and transformative.

Hands-on Experience with Labs

Google Cloud offers various labs for those eager to gain practical experience. These labs, ranging from introductory to intermediate levels, allow users to work directly within the Google Cloud environment. Some of the labs include “Get Started with Generative AI Studio,” “Generative AI with Vertex AI: Prompt Design,” and “Integrate Search in Applications Using Gen AI App Builder.”

Collaboration with DeepLearning.AI

In a notable collaboration, Google Cloud has partnered with DeepLearning.AI, led by the renowned AI expert Andrew Ng. They’ve introduced content focused on “Understanding and Applying Text Embeddings with Vertex AI.” This course delves into tasks like classification, outlier detection, and semantic search, emphasizing the integration of these tasks into LLM applications.

A Holistic View of AI and ML

For technical practitioners, Google Cloud offers an introductory course titled “Introduction to AI and Machine Learning on Google Cloud.” This course provides a comprehensive overview of Google’s support for the data-to-AI journey, covering the tools and technologies essential for building ML models, pipelines, and generative AI projects.

Stay Updated with Innovators Plus

Generative AI is an ever-evolving field. To help users stay updated, Google Cloud has introduced the Innovators Plus subscription. This subscription provides access to the entire Google Cloud Skills Boost catalog, offering a plethora of on-demand training. Subscribers also receive exclusive benefits, including Google Cloud credits and special access to Google Cloud experts.

As generative AI continues to reshape the technological landscape, training and understanding become crucial. Google Cloud’s new training offerings ensure that individuals, irrespective of their technical proficiency, can grasp, apply, and benefit from the advancements in generative AI. Whether you’re a business professional, a developer, or someone simply curious about AI, Google Cloud’s resources provide a comprehensive and practical understanding of this transformative technology.

Google Cloud Skills Boost: Introduction to Generative AI Learning Path

Google Cloud’s “Introduction to Generative AI Learning Path” is a curated set of courses designed to provide a foundational understanding of generative AI concepts. This learning path is tailored for those who are new to the domain and wish to grasp the fundamentals of large language models and the principles of responsible AI.

Course Breakdown:

  1. Introduction to Generative AI
    • Duration: 1 day
    • Level: Introductory
    • Description: This course offers a beginner’s perspective on what Generative AI is, its applications, and how it stands apart from traditional machine learning methods. It also introduces Google Tools that can assist in developing generative AI projects.
  2. Introduction to Large Language Models
    • Duration: 1 day
    • Level: Introductory
    • Description: This course delves into the world of large language models (LLM), exploring their nature, potential use cases, and techniques like prompt tuning to enhance LLM performance. It also touches upon Google tools related to LLMs.
  3. Introduction to Responsible AI
    • Duration: 1 day
    • Level: Introductory
    • Description: This course emphasizes the importance of responsible AI, its significance, and how Google integrates responsible AI principles into its products. It also presents Google’s 7 AI principles.
  4. Generative AI Fundamentals
    • Duration: 1 day
    • Level: Introductory
    • Description: By completing the initial three courses and passing the final quiz, learners can earn a skill badge, showcasing their grasp of foundational concepts in generative AI.
  5. Responsible AI: Applying AI Principles with Google Cloud
    • Duration: 1 day
    • Level: Introductory
    • Description: As enterprise AI and ML adoption rises, building AI responsibly becomes paramount. This course highlights the challenges and solutions in implementing responsible AI, emphasizing its practical application.

The “Introduction to Generative AI Learning Path” on Google Cloud Skills Boost is an excellent starting point for anyone looking to delve into the world of generative AI. With a structured approach and a focus on both technical and ethical aspects, this learning path ensures a comprehensive understanding of the subject. Whether you’re a novice or someone looking to refresh your knowledge, these courses provide valuable insights into the rapidly evolving domain of generative AI.

Google Cloud Skills Boost: Generative AI for Developers Learning Path

Google Cloud has curated a specialized learning path titled “Generative AI for Developers” on its Google Cloud Skills Boost platform. This path is designed with a technical focus, catering to App Developers, ML Engineers, and Data Scientists. It’s recommended that learners first complete the “Introduction to Generative AI learning path” before diving into this advanced content.

Course Breakdown:

  1. Introduction to Image Generation
    • Duration: 1 day
    • Level: Introductory
    • Description: This course introduces learners to diffusion models, a subset of machine learning models that have shown significant promise in the image generation domain. The models draw inspiration from physics, particularly thermodynamics.
  2. Attention Mechanism
    • Duration: 1 day
    • Level: Intermediate
    • Description: This course delves into the attention mechanism, a technique that allows neural networks to focus on specific parts of an input sequence, enhancing the model’s performance.
  3. Encoder-Decoder Architecture
    • Duration: 1 day
    • Level: Intermediate
    • Description: A deep dive into the encoder-decoder architecture, which is widely used for sequence-to-sequence tasks like machine translation and text summarization.
  4. Transformer Models and BERT Model
    • Duration: 1 day
    • Level: Introductory
    • Description: An introduction to the Transformer architecture and the BERT model, covering their main components and applications.
  5. Create Image Captioning Models
    • Duration: 1 day
    • Level: Intermediate
    • Description: This course teaches learners how to develop an image captioning model using deep learning techniques.
  6. Introduction to Generative AI Studio
    • Duration: 1 day
    • Level: Introductory
    • Description: An overview of Generative AI Studio, a product on Vertex AI, which aids in prototyping and customizing generative AI models.
  7. Generative AI Explorer - Vertex AI
    • Duration: 5 hours
    • Level: Introductory
    • Description: A collection of labs focusing on using Generative AI on Google Cloud, particularly the Vertex AI PaLM API family.
  8. Explore and Evaluate Models using Model Garden
    • Duration: 1 hour
    • Level: Intermediate
    • Description: This lab provides hands-on experience in exploring and evaluating AI models using Model Garden.
  9. Prompt Design using PaLM
    • Duration: 1 hour 30 minutes
    • Level: Introductory
    • Description: A lab focusing on designing quality prompts and interacting with PaLM to achieve desired responses.

The “Generative AI for Developers Learning Path” on Google Cloud Skills Boost offers a comprehensive and structured approach to mastering generative AI. With a mix of theoretical knowledge and hands-on labs, learners are equipped to harness the power of generative AI in real-world applications.

Understanding and Applying Text Embeddings with Vertex AI

DeepLearning.AI, in collaboration with Google Cloud, has introduced a new course titled “Understanding and Applying Text Embeddings with Vertex AI.” This course is designed to provide learners with a comprehensive understanding of text embeddings and their practical applications using Google Cloud’s Vertex AI.

Course Overview:

Key Learning Objectives:

  1. Introduction to Text Embeddings: Understand the significance of text embeddings, which are numerical representations of text, and their role in tasks like Google searches, online shopping recommendations, and personalized music suggestions.

  2. Application of Text Embeddings: Learn how to use text embeddings for various tasks such as classification, outlier detection, text clustering, and semantic search. The course also delves into building a question-answering system using Google Cloud’s Vertex AI.

  3. Properties and Applications: Explore the properties of word and sentence embeddings, understand how they can be used to measure the semantic similarity between two pieces of text, and apply text embeddings for tasks like classification, clustering, and outlier detection.

  4. Advanced Techniques: Modify the text generation behavior of a Large Language Model (LLM) by adjusting parameters like temperature, top-k, and top-p. Learn to apply the open-source ScaNN (Scalable Nearest Neighbors) library for efficient semantic search and combine semantic search with an LLM to build a Q&A system.

“Understanding and Applying Text Embeddings with Vertex AI” offers a concise yet comprehensive introduction to the world of text embeddings. With hands-on exercises and expert guidance from industry leaders, learners will gain a solid foundation in the subject and be equipped to harness the power of text embeddings in real-world applications.

Generative AI Customer Stories on Google Cloud

Google Cloud has been at the forefront of AI innovation, and their Generative AI solutions are no exception. Many leading companies are leveraging these solutions to transform their businesses, capture new opportunities, and address challenges. Here’s a detailed look at how various companies are implementing Google Cloud’s generative AI solutions:

Customer Implementations:

  1. TIME: They are fostering community engagement using generative AI prompts and chat, enabling a two-way interaction with consumers. Read the article

  2. Wendy’s: The fast-food giant is piloting Google Cloud’s generative AI to create an automated and efficient drive-thru experience. 3-min read

  3. Priceline: They aim to enhance trip planning, hotel booking for customers, and improve campaign creation and developer productivity. 4-min read

  4. GitLab: They are employing Vertex AI to power a new vulnerability detection feature, enhancing customer security and efficiency. 3-min read

… and many more companies like Character.AI, UKG, GA Telesis, Text-to-image startup Midjourney, Snorkel AI, Anthropic, Aible, Cohere, eDreams, Glean, PhotoRoom, and Replit are harnessing the power of generative AI with Google Cloud.

Further references

If you are interested in Citizen Development, refer to this book outline here on Empower Innovation: A Guide to Citizen Development in Microsoft 365

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If you wish to delve into GenAI, read Enter the world of Generative AI

Also, you can look at this blog post series from various sources.

  • Hackernoon
  • Hashnode
  • Dev.to
  • Medium

    • Stay tuned! on Generative AI Blog Series

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    Please feel free to Book Time @ topmate! with our experts to get help with your Citizen Development adoption.

    Certain part of this post was generated through web-scraping techniques using tools like Scrapy and Beautiful Soup. The content was then processed, summarized, and enhanced using the OpenAI API and WebPilot tool. We ensure that all content undergoes a thorough review for accuracy and correctness before publication