LLMs with Google Cloud and Python

LLMs with Google Cloud and Python, available at $84.99, has an average rating of 4.61, with 37 lectures, based on 310 reviews, and has 3190 subscribers.

You will learn about 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 AIs 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 Learn advanced techniques in text-embedding and context injection, gaining proficiency in similarity searches and context-based prompting. Enhance your ability to fine-tune models using the Google Cloud Console, ensuring optimal performance and outcomes for specific tasks and applications. This course is ideal for individuals who are Python developers looking to leverage Large Language Models from Google Cloud It is particularly useful for Python developers looking to leverage Large Language Models from Google Cloud.

Enroll now: LLMs with Google Cloud and Python

Summary

Title: LLMs with Google Cloud and Python

Price: $84.99

Average Rating: 4.61

Number of Lectures: 37

Number of Published Lectures: 37

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 37

Original Price: $199.99

Quality Status: approved

Status: Live

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 AIs 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

Learn advanced techniques in text-embedding and context injection, gaining proficiency in similarity searches and context-based prompting.

Enhance your ability to fine-tune models using the Google Cloud Console, ensuring optimal performance and outcomes for specific tasks and applications.

Who Should Attend

Python developers looking to leverage Large Language Models from Google Cloud

Target Audiences

Python developers looking to leverage Large Language Models from Google Cloud

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.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course FAQs and Notebooks

Lecture 2: Course Curriculum Overview

Lecture 3: How Large Language Models Work

Chapter 2: Large Language Models on Google Cloud

Lecture 1: Google Cloud Account Set-Up

Lecture 2: First Prompt in Generative AI Studio

Lecture 3: Understanding Pricing and Model Options

Lecture 4: Zero, One, and Few Shot Prompting

Chapter 3: Vertex AI Python LLM API and Parameters

Lecture 1: Set-up and First API Call

Lecture 2: Parameters: Token Limit

Lecture 3: Parameters: Temperature

Lecture 4: Parameters: Top-K and Top-P

Lecture 5: Parameters: Stop Sequences

Lecture 6: One and Few Shot Prompts- Text and Chat Models

Chapter 4: Lab: Customer Service Chatbot

Lecture 1: Lab Code Along – Customer Service Chatbot

Chapter 5: Coding Models

Lecture 1: Link for Code Models Overview

Lecture 2: Understanding Coding Models

Lecture 3: Code Prompts

Lecture 4: Code Chats

Lecture 5: Code Completion

Chapter 6: Lab: Natural Language Database AI Assistant

Lecture 1: Lab Code Along – Natural Language Database AI Assistant

Chapter 7: Prompt Engineering

Lecture 1: Prompt Engineering Overview

Lecture 2: Structuring and Separating Prompt Parts

Lecture 3: Summarization Tasks

Lecture 4: Classification Tasks

Lecture 5: Extraction Tasks

Lecture 6: Ideation and Expansion Tasks

Lecture 7: Translation

Lecture 8: Transformation – Tones and Formats Tasks

Lecture 9: Understanding Model Hallucination

Chapter 8: Lab: Translation and Summarization AI Bot

Lecture 1: Lab: Translation and Summarization Customer Support Bot

Chapter 9: Text-Embedding and Context Injection

Lecture 1: Overview of Text Embedding

Lecture 2: Context Injection into Prompt

Lecture 3: Similarity of Text Embeddings

Lecture 4: Text Embedding Context injection and Similarity Search

Chapter 10: Custom Tuning

Lecture 1: Introduction to Custom Tuning

Lecture 2: Link for Next Lecture

Lecture 3: Custom Tuning Example

Instructors

Jose Portilla
Head of Data Science at Pierian Training

Pierian Training
Data Science and Machine Learning Training

Rating Distribution

1 stars: 1 votes

2 stars: 4 votes

3 stars: 22 votes

4 stars: 98 votes

5 stars: 185 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!