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AI isn’t a future state. It’s here to stay. With more than a decade of AI innovation and integration in the cloud, Google is your trusted partner in navigating this new reality.

What’s in this learning path?

This Generative AI learning path guides you through a curated collection of content on Generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud.

Overview

Large Language Models powered by world-class Google AI.

Google Cloud brings innovations developed and tested by Google DeepMind to our enterprise-ready AI platform so customers can start using them to build and deliver generative AI capabilities today — not tomorrow.

In this course, you explore tools and APIs available on Google Cloud for integrating large language models (LLMs) into your application.

After exploring generative AI options on Google Cloud, you explore LLMs and prompt design in Vertex AI Studio. Then you learn about LangChain, an open-source framework for developing applications powered by language models.

After a discussion around more advanced prompt engineering techniques, you put it all together to build a multi-turn chat application by using LangChain and the Vertex AI Gemini API.

Skills Covered

  • Explore the different options available for using generative AI on Google Cloud.
  • Use Vertex AI Studio to test prompts for large language models.
  • Develop LLM-powered applications using LangChain and LLM models on Vertex AI.
  • Apply prompt engineering techniques to improve the output from LLMs.
  • Build a multi-turn chat application using the Gemini API and LangChain.

Prerequisites

Completion of “Introduction to Developer Efficiency on Google Cloud” or equivalent knowledge.

Target Audience

AI/ML Professionals

Course Curriculum

Module 1: Introduction to Generative AI on Google Cloud

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

Module 2: Vertex AI Studio

  • Introduction to Vertex AI Studio
  • Designing and testing prompts
  • Data governance in Vertex AI Studio

Module 3: LangChain Fundamentals

  • Introduction to grounding
  • Integrating the Vertex AI Gemini APIs
  • Chat, memory and grounding
  • Search principles

Module 4: Prompt Engineering

  • Review of few-shot prompting
  • Chain-of-thought prompting and thinking budgets
  • Meta prompting, multi-step, and panel prompts
  • RAG and ReAct

Module 5: Creating Custom Chat Applications with Vertex AI Gemini AP

  • LangChain for chatbots
  • ADK for chatbots
  • Chat retrieval

Dates & Locations

Let’s make it work for you

Can’t find a date that fits? Need to train your whole team? Looking for a discount?
Speak to one of our learning experts today.

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August 4, 2026 - August 4, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 2400

August 4, 2026 - August 4, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 2400

November 17, 2026 - November 17, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 2400

November 17, 2026 - November 17, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 2400
Trainocate exam and cert

Exam & Certification

Note: There is no exam directly associated with this course. However, Google Cloud offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2025 and beyond. Obtaining a Google Cloud certified credential is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our full range of Google Cloud certifications and start building the skills that matter today.

Training & Certification Guide

GCP-AMLTF: Advanced Machine Learning with TensorFlow on Google Cloud

This GCP-AMLTF: Advanced Machine Learning with TensorFlow on Google Cloud course will give you hands-on experience optimizing, deploying, and scaling a variety of production ML models.

GCP-CXCCEX: Customer Experiences with Contact Center AIDialogflow CX

In this Google Cloud course, learn how to design customer conversations using Contact Center Artificial Intelligence (CCAI).

GCP-GAIL: Generative AI Leader

In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.

GCP-MLGC: Machine Learning on Google Cloud

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions.

 

Frequently Asked Questions

  • 8 in 10 Google Cloud learners say that having a certification contributes to faster promotion.
  • 8 in 10 leaders from organizations using Google Cloud say they prefer to recruit and hire professionals who hold cloud certifications.
  • 85% of Google Cloud learners say that cloud certifications give them the skills to fill in-demand roles.

  • Foundational certification: Validates broad knowledge of cloud concepts and the products, services, tools, features, benefits, and use cases of Google Cloud.
  • Associate certification: Validates fundamental skills to deploy and maintain cloud projects.
  • Professional certification: Validates key technical job functions and advanced skills in design, implementation and management of Google Cloud products. This includes specialized certifications.

Speak to a Training Consultant

All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631

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