Descriptions
LLMs with Google Cloud and Python: Step into the transformative world of language models and learn how to harness their vast potential using Google Cloud and Python. This in-depth Udemy course offers a perfect combination of theoretical insights and practical skills. The course starts with a solid foundation in large language models and helps students understand their complexity and how they work. As you delve into the core modules, you will become familiar with the Google Cloud platform, effortlessly navigate the Generative AI Studio, understand its pricing, and choose the best model for your needs. The course also covers effective methods for zero, one, and few-shot prompting, providing a comprehensive learning journey. We then explore the nuances of the Vertex AI Python LLM API and shed light on the parameters that are essential for fine-tuning models for peak performance.
You’ll learn everything from token limits to temperature settings to sophisticated stopping sequences in detail. A highlight of this course is the hands-on labs where students can build various tools, such as an advanced customer service chatbot and a cutting-edge translation and summarization AI bot. These labs go beyond programming and apply theoretical knowledge to concrete, real-world applications. The course also ventures into the exciting territory of prompt engineering. Students learn how to create effective prompts for tasks like summarization and extraction. In addition, you’ll learn about text embeddings, learn about context injection into prompts, and increase model accuracy through similarity searches!
What you will learn
- Gain a comprehensive understanding of how large language models work and their core components and mechanisms.
- Master setting up and using 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 and understand and implement various parameters such as token limit, temperature, and more.
- Gain hands-on skills in designing and developing a customer service chatbot using generative AI to ensure it meets industry standards.
- From generating prompts to ensuring accurate code completions, delve into the nuances of coding models to improve your skills as a developer.
Who is this course suitable for?
- Python developers who want to use large language models from Google Cloud
Specifying LLMs with Google Cloud and Python
- Editor: Udemy
- Teacher: Jose Portilla
- Language: English
- Level: All levels
- Number of courses: 37
- Duration: 4 hours and 52 minutes
Content of LLMs with Google Cloud and Python
Requirements
- Experience in Python programming
- Permissions to set up a Google Cloud account (a credit card may be required)
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
File size
1.7GB