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LifestyleBuilding Intelligent AI Agents with Vertex AI and Google (Udemy.com)
Master Vertex AI Agent Builder with GCP Tools, LangChain & Colab — Build Real AI Agents from Scratch
Created by: Minerva Singh
Last updated September 2025
What you will learn
- Students will learn about the GCP and Vertex AI Ecosystem
- Introduction to AI Agents and their uses
- Creating AI Agents using Vertex AI
- Introduction of the Vertex AI Agent Engine
How it compares
Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:
- Rating4.3 out of 5higher than 21% of them
- Reviews784#161 of 372 by number of reviews
- Length2.1 hoursshorter than 79% of them
- Last updatedSeptember 2025earlier than 51% of them
Course Description
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
Integrate functions and tools via LangChainAgent
Develop and deploy practical LLM applications using Vertex AI in Colab and Python
Whether you're aiming to enhance your cloud AI skills, automate complex workflows, or build cutting-edge AI products, this course gives you the tools and insight to make it happen — with guidance from an experienced AI educator and practitioner.
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Instructor Details
- 4.3 Rating
784 Reviews
Minerva Singh
I completed a PhD (University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year's experience in conducting academic research (published in high level peer-reviewed international scientific journals such as PLOS One) and advising both non-governmental and industry stakeholders in data science, deep learning and earth observation (EO) related topics.
I have a strong track record in implementing machine learning, data visualization, spatial data analysis, deep learning and natural language processing tasks using both R and Python. In addition to being educated at the best universities in the world, I have honed my statistical and data analysis skills through many MOOCs, including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R-based Machine Learning course offered by Stanford online) and the IBM Data Science Professional certificate Track. I specialise in a variety of topics ranging from deep learning (Tensorflow, Keras) to machine learning to spatial data analysis (including EO data processing), data visualizations, natural language processing, financial analysis among others. I have acted as a peer reviewer on highly
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Reviews
By Nicholas Lee on 6/2/2026
I really enjoyed this course and learned a lot about Vertex AI and intelligent agent development. The hands-on approach and organized content made the learning experience very effective.
By Ryan Thompson on 6/2/2026
This course provides a clear and practical introduction to building intelligent AI agents with Vertex AI. The instructor explained the tools and workflows in a very simple and engaging way.
By Brandon Harris on 6/2/2026
This course exceeded my expectations with its practical teaching style and clear explanations. The instructor did a great job connecting theory with real-world AI applications.
By Tobias Krüger on 6/1/2026
I really enjoyed this course and gained valuable knowledge about AI workflows and Google Cloud AI tools. The lessons were practical, detailed, and easy to follow from start to finish.
By Julian Richter on 6/1/2026
This was a very informative course with clear explanations and practical AI development examples. The instructor’s teaching style made advanced concepts easier to understand and apply.
By Alexander Müller on 5/31/2026
A very informative and well-structured course for anyone interested in AI agents and cloud-based AI development. The lessons were easy to follow, even when covering advanced concepts.
By Hannah Klein on 5/31/2026
I really enjoyed this course and learned a lot about Google’s AI ecosystem and intelligent agent development. The practical lessons and step-by-step explanations made the learning experience smooth and engaging.
By Daniel Schmidt on 5/31/2026
This course provides an excellent introduction to building AI agents with Vertex AI and Google Cloud tools. The instructor explained the concepts clearly and included practical demonstrations that made learning easy.
By Stephane KANN on 3/20/2026
I'm disapointe because the teacher doesn't know GCP, she's recording when she's discovering GCP, only reading out loud what is written on screen and retyping slowly the default examples already provided by GCP (what's the point ?). There were no logical order of the lessons, no exercices to do, no explanations. I know it's only a 2 hours presentation but at least i was expecting a teacher who knows GCP and not discovers it live.
By Quynh Trinh on 2/24/2026
I feel like it's quite disingenuous for the author to label this as a learning course. Given how short the material already is, a lot of the time was spent just glossing over website links and paraphrasing the website descriptions. Often times the instructor even goes over the same pages multiple times in different videos. You would honestly learn a lot more watching a 5 - 10 minute video on YT.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 86 / 100
- Video Duration:
2.1h - Price: $19.99
- Provider: Udemy
- Updated:
September 2025 - Level:
All Levels - Language:
English - Certificate:
Yes
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