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AI on Google Cloud using Vertex AI and build AI powered Apps
Rating: 4.1 out of 5(26 ratings)
200 students

AI on Google Cloud using Vertex AI and build AI powered Apps

Getting started with AI, on Google Cloud and Vertex AI to build two AI applications for your business
Created byTyrone Dugmore
Last updated 1/2024
English
English [Auto],

What you'll learn

  • What is AI, and how to use it responsibly
  • Enterprise AI solutions using Google Cloud and Vertex AI
  • Using Vertex AI to create Private AI solutions
  • How to Build Private AI powered Applications using your data on Vertex AI
  • How to build an AI powered Knowledge base and search your own data on Vertex AI

Course content

1 section • 16 lectures • 2h 4m total length

  • Introduction2:39

    Learn to build AI apps on Google Cloud with Vertex AI, covering responsible AI, prompt engineering, and practical steps to create chatbots and knowledge base assistants.

  • Course Layout0:34

    Navigate the course structure with resource packs and the Training Slides Vertex AI PDF, following the sequence. Use the course content to mark progress and resume where you left off.

  • What is AI?7:18

    Explore how ai evolved into large language models and how generative systems use vast data to predict next words on google cloud, with cautions on hallucinations, copyright, and explainability.

  • What is Responsible AI?4:40

    Learn responsible ai principles for using large language models, focusing on safety, privacy by design, bias avoidance, and legal compliance. Ensure enterprise-grade, reliable ai with governance and explainability.

  • Use Cases for AI?9:12

    Discover how generative AI on Google Cloud Vertex AI accelerates code, insights, and content creation for programmers, researchers, designers, and consultants through four core capabilities: creation, summarization, discovery, and automation.

  • Prompt Engineering Best Practices7:56

    Master prompt engineering best practices for generative AI with clear, specific prompts, structured headers, bodies, and conclusions, role framing, one thought at a time, and audience context for Vertex AI.

  • Google Cloud overview and architecture6:51

    Explore Google Cloud and Vertex AI for enterprise-grade AI, emphasizing privacy by design, cloud compliance, secure governance, and scalable, pay-per-use infrastructure for compliant AI solutions.

  • Vertex AI installation0:50

    Sign up for Google Cloud, claim the $3,300 credit, and start the free trial to begin using Vertex AI and build AI-powered apps.

  • Google Cloud setup for production14:59

    Set up your Google Cloud environment by configuring organization, production and non-production networks, VPCs, and billing; manage projects and cost alerts, and explore Vertex AI, Cloud Storage, and BigQuery.

  • Vertex AI overview7:39

    Vertex AI overview and how to navigate

  • Vertex AI Model Garden9:50

    Explore hundreds of AI models in Vertex AI Model Garden, test capabilities with no code, compare foundation and fine tunable models, and use Colab notebooks to deploy endpoints.

  • Build a Gemini powered AI chatbot with your data19:39

    Build a Gemini powered AI chat bot by connecting web and unstructured data (PDFs, CSV, text) to a cloud storage bucket, configuring data stores, and testing in Dialogflow.

  • Deploy the chatBot to your website5:04

    Deploy a chat bot to your website by embedding the provided code on Wix or other web servers, using either anonymous or authenticated api, with domain restrictions and cost considerations.

  • Build a Gemini powered AI search and knowledge base on your data13:32

    Build a Gemini-powered AI search and knowledge base on your data within Google Cloud, uploading PDFs and unstructured data, and embedding a secure intranet widget.

  • Implementing AI tips and tricks in the real world5:50
  • Extra: Google AI Studio7:59

Requirements

  • No programming required, just a quality internet connection and a Google email account.

Description

Do you want to build Enterprise AI apps and require more comprehensive walkthroughs of using the AI software and a foundational understanding of AI Security, Ethics and the principles as well as some tips and tricks?

This training course has been developed to provide you with the theory of the Generative AI environment, as well as the practical steps to follow that will enable you to build your very own chatBot and host it on a webserver. You will also be building a Search and Conversation Knowledge base on your own Data using the power of the LLMs and Gemini AI all within the Google Cloud and Vertex AI environment.


This course helps build your knowledge and takes you into the future with Google AI enterprise for 2025 and beyond.


All you need for this course is working internet and access to a computer as well. Enjoy Free credits to Google Cloud.


The course will cover:

1. What is AI?

- We cover the history of AI and where it is being used and why it is so popular

2. What is Responsible AI?

- We cover using AI responsibly with the right principles and practices to embed in your development

3. Use Cases for AI

- we explore the use cases and areas that business are looking at AI

4. Prompt Engineering Best Practices

- having a great prompt structure is the key to generative AI, we walk your through the right things to include

5. Google Cloud Overview and architecture

- Google cloud and what it is, and why it is a Enterprise AI architecture

6. Google Cloud Setup

- Setting up Google Cloud, for production us requires setting up a number of items, we walk you through getting this going.

7. Vertex AI Install

- Getting going with Vertex AI is simple

8. Vertex AI overview

- What is Vertex AI, how can you develop and use Vertex AI to make AI prototypes and applications

9. Vertex AI Model Garden

- Exploring the pre-built models, and use cases and showing you how to test, and work with the Prompts as well as a Google Colab Model

10. Building Vertex AI ChatBot on your Data

- We go through step-by-step on how to get a chatBot using Gemini and your data working on your website

11.  Building Vertex AI Build private Knowledge base

- We enable a fully LLM powered Search App on your company or private data with the ability to search and find knowledge that is in unstructured data such as PDF's

12. Implementing AI in the real world, with some tips and tricks

- Having implemented AI solutions, there are a number of key things that rookies need to be aware of, I walk you through some of the pain points you will experience along the way, and how to overcome them in the real world.

+ Extra Video on prototyping environments!



What are you waiting for - get started in the right way now!


Who this course is for:

  • This course will benefit those who are looking for foundational Enterprise AI knowledge, that familiarises you with the Google AI services and allows you to produce fast and effective AI prototypes. The course guides you through the installation and setup of the Google Vertex AI, and build working proof of concepts. AI developers and AI power users wanting to build AI solutions that use private, enterprise solutions on Vertex AI. We walk-through building and deploying a working chatBot on your site, and a AI powered Searchable Knowledge base for your internal or external use. This course is great for those who want the facts, and the steps to get the solution working to demo to your stakeholders.

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