Published 8/2024
Duration: 1h51m | Video: .MP4, 1920×1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.31 GB
Genre: eLearning | Language: English
Master Google Cloud Vertex AI: Harness LLMs & Text-Embeddings API to Build Advanced AI Solutions & Drive Insights
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!
Who this course is for
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.
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