Building Intelligent AI Agents with Vertex AI and Google

About this course

Disclaimer- This course contains the use of artificial intelligence

Unlock the full potential of Vertex AI on Google Cloud Platform (GCP) by learning how to build and deploy intelligent, real-world AI agents using both pretrained models and custom models. Whether you're a developer, data scientist, or cloud enthusiast, this course will equip you with the practical knowledge and hands-on skills to leverage the powerful Vertex AI Agent Builder ecosystem and integrate it into production-ready applications.

You'll begin by understanding the foundations of the GCP ecosystem and the Vertex AI platform, exploring how they fit into the broader world of cloud-based machine learning. We then cover the theory behind AI agents, including different types of agents and how agent-based thinking can improve automation, decision-making, and user interaction.

From there, you’ll dive deep into building AI agents using Vertex AI tools — working with foundation models, custom-trained models, and the Vertex AI Agent Builder Engine. You’ll explore how to use the Agent Builder in both the Google Cloud Console and Google Colab, and learn how to integrate external tools and functions into your agents.

You’ll also build practical agent-based applications using LangChain and Python, including hands-on demos like building a currency conversion tool, connecting it with an LLM agent, and deploying it using modern tools.

By the end of this course, you'll be able to:

• Navigate the GCP and Vertex AI ecosystems with confidence
• Understand the architecture and purpose of AI agents
• Use both custom and pretrained models with Vertex AI
• Build intelligent agents using the Vertex AI Agent Builder engine</

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