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 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 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 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
- 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!
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