Master Vertex Ai: Leveraging Llms With Text-Embeddings Api

Master Google Cloud Vertex AI: Harness LLMs & Text-Embeddings API to Build Advanced AI Solutions & Drive Insights

What you'll learn

Master the Fundamentals of Google Cloud Vertex AI: Gain a comprehensive understanding of Vertex AI, including its architecture, key features

Leverage Large Language Models (LLMs) in Vertex AI: Learn how to utilize pre-trained LLMs for natural language processing tasks such as text generation

Optimize Text Embeddings for Specific Tasks: Discover how to create and optimize text embeddings using the Text-Embeddings API for tasks like document retrieval

Apply AI Techniques to Real-World Scenarios: Develop the skills to build advanced AI solutions, such as Retrieval-Augmented Generation (RAG) systems

Requirements

Basic Understanding of Machine Learning:

Basic of Python

Description

Unlock the full potential of Google Cloud Vertex AI with our comprehensive course, "Master Google Cloud Vertex AI: Harness LLMs & Text-Embeddings API." Designed for AI enthusiasts, data scientists, and developers, this course will equip you with the skills and knowledge to build advanced AI solutions using cutting-edge tools like Large Language Models (LLMs) and the Text-Embeddings API. Whether you're looking to enhance your existing AI projects or embark on new, innovative ventures, this course provides everything you need to succeed.What You'll Learn:Introduction to Google Cloud Vertex AI: Gain a deep understanding of Vertex AI, including its architecture, key features, and how it integrates with the broader Google Cloud ecosystem.Working with Large Language Models (LLMs): Learn how to leverage pre-trained LLMs within Vertex AI to perform a wide range of NLP tasks, from text generation to sentiment analysis.Mastering the Text-Embeddings API: Discover how to use the Text-Embeddings API to create powerful embeddings for document retrieval, question answering, and more. Understand how to optimize embeddings for specific use cases to improve the performance of your AI models.Building Advanced AI Solutions: Step-by-step guidance on creating sophisticated AI applications, including Retrieval-Augmented Generation (RAG) systems, personalized recommendations, and more, all powered by Vertex AI and Google Cloud.Real-World Case Studies: Explore real-world applications of Vertex AI and the Text-Embeddings API across various industries, and understand how to apply these insights to your own projects.Hands-On Projects and Exercises: Put your skills into practice with hands-on projects that simulate real-world scenarios. Build and experiment with AI solutions that can be directly applied to your work or business.Why Take This Course?By the end of this course, you'll be proficient in using Google Cloud Vertex AI and its advanced tools to build powerful AI solutions that are highly efficient. Whether you're an AI professional looking to enhance your skillset or a developer wanting to explore the latest in AI technology, this course will empower you to take your AI projects to the next level.Join us today and become a master of Google Cloud Vertex AI!

Overview

Section 1: Introduction

Lecture 1 Introduction and About the Course - Prerequisites

Lecture 2 Course Structure

Section 2: Download Source Code

Lecture 3 Download Source code

Section 3: Development Environment Setup & Google Cloud Platform Setup

Lecture 4 Development Environment Setup and API Costs - Overview

Lecture 5 Google Cloud Setup

Lecture 6 Hands-on: Testing the Vertex AI - Generated a Sentence Embedding

Section 4: Vertex AI Text Embedding API and Embeddings Crash Course - Deep Dive

Lecture 7 Introduction to Vertex AI and Capabilities - Overview

Lecture 8 OPTIONAL: Embeddings Crash Course

Lecture 9 How are Embeddings Used in GenAI and LLMs and Use Cases

Lecture 10 The Embeddings API - Text vs Multimodal Embeddings - Overview

Lecture 11 Task Types and Benefits

Lecture 12 Multimodal Embeddings Diagram

Lecture 13 Hands-on: Embeddings Length - Dimension

Lecture 14 Hands-on: Run Cosine Similarity Search on Different Sentences

Lecture 15 Hands-on: Visualize Embeddings

Lecture 16 Summary

Section 5: Text Generation with Vertex AI Text Embedding API

Lecture 17 TextGenerationModel - Generating Text Using bison Model

Lecture 18 Hands-on: Text Generation - Classification Use Case

Lecture 19 Hands-on: Extract Information into Tables and JSON Formats

Lecture 20 Hands-on: Controlling Temperature for the Model

Lecture 21 Hands-on: TopK and TopP

Lecture 22 Hands-on: Transcript Summarization and Extraction

Section 6: Hands-on: Application and Real-world Use Cases of Embeddings

Lecture 23 Cluster Visualization of StackOverflow Question and Answers in 2D

Lecture 24 Build Your RAG System with the StackOverflow Data

Lecture 25 Scale with the Approximate Nearest Neighbor Search: HNSW vs Cosine Similarity

Section 7: Next Steps

Lecture 26 Course Summary and Next Steps

Data Scientists and AI Practitioners: Professionals looking to expand their skillset with advanced tools like Google Cloud Vertex AI and Large Language Models (LLMs), enabling them to build more powerful and efficient AI solutions.,Developers and Engineers: Software developers and engineers interested in integrating AI into their projects or exploring the capabilities of text embeddings and AI-driven solutions within the Google Cloud ecosystem.,AI Enthusiasts and Learners: Individuals with a passion for artificial intelligence who want to deepen their understanding of state-of-the-art AI technologies and how to apply them to real-world scenarios.,Business Analysts and Tech Leaders: Professionals responsible for making data-driven decisions who want to explore the potential of AI for solving business challenges and driving innovation in their organizations.