LLMs with Google Cloud and Python (Udemy.com)
Learn to use Google Cloud's latest LLM models in Google Cloud Platform and with Python!
Created by: Jose Portilla
Last updated November 2023
What you will learn
- Gain a comprehensive understanding of how large language models function, along with their core components and mechanisms.
- Master the setup and utilization of Large Language Models on the Google Cloud platform, including understanding the pricing structure and model options.
- Develop the ability to effectively use Vertex AI's Python LLM API, understanding and implementing various parameters like token limit, temperature, and more.
- Acquire practical skills in designing and developing a customer service chatbot using generative AI, ensuring it meets industry standards.
- Delve into the nuances of coding models, from generating prompts to ensuring accurate code completions, enhancing your skill set as a developer.
- Understand the art and science of prompt engineering, learning to structure, ideate, and transform prompts for tasks such as summarization, classification, extr
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.1 out of 5higher than 3% of them
- Reviews459#249 of 462 by number of reviews
- Length4.9 hoursshorter than 68% of them
- Last updatedNovember 2023earlier than 78% of them
Course Description
Unlock the Hidden Potential of Large Language Models with this Google Cloud Course!
Step into the transformative realm of language models and learn how to harness their expansive potential with Google Cloud and Python. This in-depth Udemy course offers a perfect fusion of theoretical insights and practical skills.
About the Course:
The course kicks off with a solid foundation in Large Language Models, helping students understand their complexity and functioning. As you delve into the main modules, you will become proficient in using the Google Cloud platform, effortlessly navigating the Generative AI Studio, comprehending its pricing, and selecting the best model for your needs. The course also delves into effective methods for Zero, One, and Few Shot Prompting, offering a comprehensive learning journey.
We then explore the nuances of the Vertex AI Python LLM API, shedding light on parameters essential for fine-tuning models to peak performance. You'll learn about everything from token limits to temperature settings and sophisticated stop sequences in great detail.
A highlight of this course is the practical labs, where students can create various tools, such as an advanced Customer Service Chatbot and a state-of-the-art Translation and Summarization AI Bot. These labs go beyond coding, applying theoretical knowledge to tangible, real-world applications.
The course also ventures into the captivating area of prompt engineering. Students will learn to craft effective prompts for tasks like summarization and extraction. In addition, you'll explore text embeddings, learning about context injection in prompts and boosting model accuracy with similarity searches!
By the end of the course, students will have the skills to customize their models in the Google Cloud Console, tailoring them to their specific objectives.
Who Should Enroll?
This course is ideal for AI enthusiasts looking to broaden their knowledge, developers who want to integrate advanced language models into their projects seamlessly, and anyone fascinated by the wonders of Google Cloud and Python in AI.
Your Future Is Here!
Begin a journey that combines deep theoretical knowledge with practical expertise. With its expert-led instruction and structured modules, this course is a guiding light for those passionate about the wonders of language models.
Decide today and shape your future.
Instructor Details
- 4.1 Rating
459 Reviews
Jose Portilla
Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science, Machine Learning and Python Programming. He has publications and patents in various fields such as microfluidics, materials science, and data science. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming, the ability to analyze data, and the skills needed to present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Training and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, SalesForce, Starbucks, McKinsey and many more. Feel free to check out the website link to find out more information about training offerings.
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Reviews
By Pawan Sharma on 2/1/2026
take too much time for processing
By Udemy User on 10/31/2025
I really like Jose and have taken several of his courses through Udemy. They are all great and I would highly recommend any of the others. Unfortunately, LLMs are such a fast evolving field that this course is pretty much unusable. It appears that since launching Gemini and making it the default LLM on Google that basically everything in this course is now deprecated. The web UI is completely different now (that's not too surprising as website often change), but what really makes the course unusable is that Google has deprecated the Python API that Jose uses in the course. I was able to install and import it, but I was unable to run any of the modules that needed to connect to Google. Unfortunately, Udemy should probably take this course down until Jose and Pieran can release an updated version.
By Siddhant Naik on 1/19/2025
This course offers an excellent opportunity to gain practical experience using Large Language Models (LLMs) on Google Cloud with Python. I learned many new concepts and techniques that I wasn’t aware of before. However, I would recommend that Jose update the course content, as some of the text models in Vertex AI have been deprecated. Despite this, the course provides valuable hands-on experience in building and utilizing LLMs on Google Cloud.
By Brooke Guthrie on 7/21/2024
This is a Great Easy to understand class for LLM beginners. The teacher is very organized. And builds upon each subject taught.
By Sayantrini Saha on 6/25/2024
Good comprehensive course to start off with LLM using vertexai. Instructor has done a good job explaining the text embedding technique and cosine similarity search. Loved this course!
By Rogério Pellucci de Oliveira on 1/27/2024
Tenho vários cursos deste autor, é um dos mais didáticos que encontrei até hoje na Udemy. Excelente! O conteúdo é extremamente relevante para o aprendizado de Inteligência Artificial. A teoria é fundamental, mas sólida. Os exemplos são muito práticos.
By Elsa Amores Vera on 1/25/2024
This is the third Jose Portilla course I take. Once again, there is no one like him to dissect complex concepts into clean ideas that progressively help you build up your knowledge in a particular topic. I really enjoyed this course, it gave me a solid foundation of LLM. I totally recommend it!
By Aaron Gayah on 1/21/2024
It's the correct pace. The diagram of the LLM should have had labels included. There was a lot of discussion going on there, but I was not able to capture everything easily. Having a downloadable resource with more details on that slide would have made this section perfect since it could sum everything up nicely in one diagram.
By Nithish Kumar CV on 1/10/2024
This course was concise but covered all the necessary information required for an introduction to LLM's. I really enjoyed this course and learnt the required stuff to work with LLM's for practical tasks. The best part were the course notes and the clear explanations of the instructions! I highly recommend this to beginners trying to navigate the world of LLM's!!
By Chintamani Modak on 11/25/2023
Really a good course on learning Generative AI (LLMs on Google cloud with Python). Jose' teaching style is very engaging and making each of the section very interesting for learning by keeping right level of momentum throughout the course. I would highly recommend this course to others that want to enhance their knowledge in Generative AI using Google Cloud.
Quality Score
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Overall Score : 82 / 100












