Course Overview

This course will equip you to: 

  • Leverage generative AI on Google Cloud Platform. 
  • Master Vertex AI Studio for LLM interaction. 
  • Build applications with LangChain framework. 
  • Apply prompt engineering techniques for better outputs. 
  • Develop a multi-turn chatbot using PaLM API. 

After completing this course on Application Development with LLMs on Google Cloud, Students will be able to:

  • Identify generative AI options on Google Cloud.
  • Utilize Vertex AI Studio for prompt design and testing.
  • Build LLM-powered applications with LangChain.
  • Enhance LLM results with advanced prompt engineering.
  • Construct a multi-turn chat application using PaLM API.

Upcoming Batches

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Start Date End Date

2024-12-30

2024-12-31

2025-01-06

2025-01-07

2025-01-13

2025-01-14

2025-01-20

2025-01-21

2025-01-27

2025-01-28

Application Development with LLMs on Google Cloud:

  • Our Google Cloud Platform training modules have 50% – 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).

  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).

  • GCP certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).

  • Well-structured use-cases to simulate challenges encountered in a Real-World environment during Google Cloud Platform training.

  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.

  • Being an official Google Cloud Platform Training Partner, we offer authored curriculum that are at par with industry standards.

Who Should Attend this Course on Application Development with LLMs on Google Cloud:

  • Developers interested in leveraging LLMs for application development.
  • Machine learning enthusiasts exploring Google Cloud's LLM capabilities.
  • Anyone curious about building next-generation AI applications.

Prerequisites for the GCP

Basic understanding of Artificial Intelligence concepts.

Why choose CloudThat as your Application Development with LLMs on Google Cloud Training Partner?

  • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
  • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
  • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
  • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
  • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
  • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
  • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
  • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

Learning objective of the course

  • Explore generative AI tools and APIs on Google Cloud.
  • Test prompts for LLMs within Vertex AI Studio
  • Develop applications with LangChain and Vertex AI.
  • Apply prompt engineering techniques for improved LLM outputs.
  • Build a multi-turn chatbot using PaLM API and LangChain.

Course Outline Download Course Outline

Topics:

  • Vertex AI on Google Cloud
  • Generative AI options on Google Cloud
  • Introduction to course use case

Objectives:

  • Explore the different options available for using generative AI on Google Cloud.

Topics:

  • Introduction to Vertex AI Studio
  • Available models and use cases
  • Designing and testing prompts in the Google Cloud console
  • Data governance in Vertex AI Studio

Objectives:

  • Use Vertex AI Studio to test prompts for large language models.
  • Understand how Vertex AI Studio keeps your data secure.

Activities:

  • Lab: Exploring Vertex AI Studio

Topics:

  • Introduction to LangChain
  • LangChain concepts and components
  • Integrating the Vertex AI PaLM APIs
  • Question/Answering Chain using PaLM API

Objectives:

  • Understand basic concepts and components of LangChain.
  • Develop LLM-powered applications using LangChain and LLM models on Vertex AI.

Activities:

  • Lab: Getting Started with LangChain + Vertex AI PaLM API

Topics:

  • Review of few-shot prompting
  • Chain-of-thought prompting
  • Retrieval augmented generation (RAG)
  • ReAct

Objectives:

  • Apply prompt engineering techniques to improve the output from LLMs.
  • Implement a RAG architecture to ground LLM models.

Activities:

  • Lab: Prompt Engineering Techniques

Topics:

  • LangChain for chatbots
  • Memory for multi-turn chat
  • Chat retrieval

Objectives:

  • Understand the concept of memory for mult-iturn chat applications.
  • Build a multi-turn chat application by using the PaLM API and LangChain.

Activities:

  • Lab: Implementing RAG Using LangChain

Course Fee

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Course ID: 21534

Course Price at

$399 + 0% TAX
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Frequently Asked Questions on GCP Certification

LLMs (Large Language Models) are AI models trained on massive datasets, enabling tasks like text generation and translation.

Vertex AI is Google Cloud's platform for machine learning development and deployment.

LangChain is an open-source framework for building applications powered by LLMs.

No prior LLM experience is required, but basic understanding of AI concepts is helpful.

This course is ideal for developers interested in building applications with Google Cloud's LLMs.

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