Application Development with LLMs on Google Cloud

Join us at WideOps Ltd Authorized Trainers (Google Authorized Training Program) for the Empower Your AI Skills course—a complete learning experience with hands-on labs designed to sharpen your practical skills. Led by our Google Cloud superstar, TBD, this course is your gateway to mastering AI and unlocking its transformative potential in your organization.

📍Google Haifa – Matam 30, floor 11

🗣️ In Hebrew

💻 Laptops are required

Overview:

This hands-on course is designed for developers and technical professionals interested in building applications powered by large language models (LLMs). Participants will explore Google Cloud’s Generative AI tools, learn how to design effective prompts, and build real-world applications using Vertex AI, PaLM API, and LangChain.

What You’ll Learn:

• Explore generative AI capabilities on Google Cloud.
• Design and test prompts using Vertex AI Studio.
• Develop LLM-powered apps using LangChain and the PaLM API.
• Apply advanced prompt engineering techniques such as RAG and ReAct.
• Build a multi-turn chat application using memory and retrieval strategies.

Key Modules:
Introduction to Generative AI on Google Cloud
Explore generative AI options on Google Cloud and understand how to securely apply them in real-world scenarios. Learn about the course use case that frames the hands-on exercises.

Vertex AI Studio
Learn to design and test prompts for large language models using Vertex AI Studio. Gain insights into available models, use cases, and data governance strategies.
Lab: Exploring Vertex AI Studio

LangChain Fundamentals
Understand the core components of LangChain and how to integrate it with Vertex AI PaLM APIs. Build a basic Q&A system powered by LLMs.
Lab: Getting Started with LangChain + Vertex AI PaLM API

Prompt Engineering
Dive into advanced prompting techniques, including few-shot prompting, chain-of-thought, Retrieval-Augmented Generation (RAG), and ReAct. Apply these methods to enhance LLM performance and output quality.
Lab: Prompt Engineering Techniques

Creating Custom Chat Applications
Use LangChain and Vertex AI to develop intelligent, multi-turn chat applications. Explore concepts like memory management and chat retrieval for dynamic interactions.
Lab: Implementing RAG Using LangChain

Training Approach:
Hands-On Labs:
Each module includes guided labs using Google Cloud’s AI tools to reinforce learning through real-world practice.

Practical Use Cases:
The course follows a progressive use case, culminating in the development of a functional multi-turn chatbot application.

Secure Development Focus:
Emphasis is placed on responsible AI use, including data governance and ethical application development.

Tool Proficiency:
Learners gain direct experience with Vertex AI Studio, LangChain, PaLM API, and foundational prompt engineering methods.