GCP Vertex AI Chatbot | Agentic AI Project | Euron

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Ready to dive into the world of AI?

In this comprehensive video, you'll master Google Cloud's Vertex AI platform to build your very first AI-powered app! Perfect for beginners and those looking to enhance their skills, this step-by-step guide is packed with practical examples and hands-on learning.

What you'll learn:
- The fundamentals of Google Cloud's Vertex AI and its powerful Model Garden.
- How to implement machine learning and generative AI models.
- Setting up your development environment for seamless AI app development.
- Accessing and customizing Google’s state-of-the-art language and vision models, including Gemini and PaLM.
- Fine-tuning models to create personalized AI solutions for real-world tasks.
- Building and deploying AI-powered applications directly from your local machine.

Why watch?
- Comprehensive and beginner-friendly: No prior experience required!
- Real-world examples: Learn by building and testing your own applications.
- Practical tools: Explore the power of Python with Vertex AI's SDK for scalable AI solutions.
- Expert guidance: Simplified explanations and actionable steps to ensure your success.

Whether you're coding for the first time or refreshing your skills, this video is your ultimate guide to mastering Vertex AI and kickstarting your AI programming journey. Hit play and code along to start building your future today!

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#mlops #vertexai #vertexaitutorial #mlworkflows #googlevertexai

CHAPTERS:
00:00 - Intro
00:28 - Google's AI Revolution
05:05 - Vertex AI: Generative AI
05:51 - Vertex AI: Partner Models
06:31 - Accessing Vertex AI in GCP Console
09:58 - Vertex AI Services
11:19 - Vertex AI: ML Ops vs LLM Ops
13:05 - Vertex AI: Traditional ML Ops
14:57 - Vertex AI: Collab Enterprise
17:56 - How to Authenticate with Google Cloud
19:04 - Google Colab Authentication for GCP
22:01 - Loading and Using a Model from Model Garden
25:54 - Using Models in Vertex AI Studio
29:35 - Implementing Vision Models
33:33 - Multimodal Export Techniques
37:05 - Installing GCP CLI
39:26 - Local Environment Setup for Vertex AI
43:10 - Accessing Model Garden on Local Machine
49:33 - Creating a Knowledge Base with Vertex AI API
51:15 - Understanding UID Usage
54:08 - Initializing Variables
56:34 - Extracting Sentences from PDF
56:40 - Generating Text Embeddings
57:00 - Saving Generated Embeddings
57:31 - Uploading Files
58:11 - Creating a Vector Index
01:00:55 - Building a Flask App
01:03:28 - Cleanup Process
01:04:24 - Implementing LLM Powered Chatbot
01:06:00 - Designing User Interface for LLM
01:06:22 - Running the Application
01:06:38 - Getting Responses from the Chatbot
01:07:22 - Final Thoughts

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Видео GCP Vertex AI Chatbot | Agentic AI Project | Euron канала Euron
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