Generative AI on Google Cloud Platform (MLOps)

Join us for a one-day workshop on Generative AI and large language models. This event aims to provide participants in-depth knowledge of the latest advancements in natural language processing, computer vision, and machine learning techniques for Gen AI.

The workshop will explore real-life applications of large language models using cutting-edge models such as GPT, PalM, and open-source LLMs. Participants will also learn how to use industry-standard LLMs with APIs, fine-tune models on their data, and deploy private LLM-based assistants.

Upon completing the workshop, attendees will gain a comprehensive understanding of integrating Generative AI into data solutions.

Target Audience
Data Scientists, Machine Learning Engineers and Software Engineers who are interested in building solutions based on Generative AI.

Requirements

• Some experience coding in Python, basic understanding of cloud computing and machine learning concepts.
• Laptop with IDE and web browser
• No prior experience with Generative AI needed.

Participant’s ROI

• Practical knowledge of building Generative AI solutions using Google Cloud Platform.
• Hands-on experience with building Generative AI powered applications.
• Tips about real world applications and best practices.

Training Materials
All participants will get training materials in the form of PDF files containing slides with theory and exercise manual with the detailed description of all exercises.

 Time Box
This is a one-day event (9:00 - 16:00), there will be some breaks between sessions.

Maximum number of the attendees
20

Agenda
Session #1 - Introduction to Generative AI and Large Language Models (LLM)

• Basic concepts and terminology
• Technology landscape
• How can you use it on your projects? Let’s discuss the Generative AI use cases
• Compliance and information security considerations

Session #2 - Generative AI on Google Cloud Platform and prompt engineering

• The capabilities of Google Cloud Platform for Generative AI (Model Garden, Generative AI Studio)
• Prompt engineering (hand-on labs)

Session #3 and #4 - LangChain with PaLM models (hands-on labs)

• LangChain concepts
• Building the conversational interface to the documents database Vertex AI PaLM API and LangChain

Timeline

• 9.00 - 10.30
• 10.30 - 11.00 - break
• 11.00 - 13.00
• 13.00 - 13.45 - lunch
• 13.45 - 15.45
• 13.45 - 16.00 - break
• 16.00 - 17.00

 TBD
Keywords: large language models, generative ai, Google Cloud Platform

Session leaders: