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Google Cloud Generative AI Leader Ultimate Course 2026
Rating: 4.2 out of 5(21 ratings)
2,197 students

Google Cloud Generative AI Leader Ultimate Course 2026

6+ REAL End-to-End IT Gen AI Company Projects | 45+ High-Quality Practice Questions with INTRACTIVE VIDEO Explanations!
Created byCloud Guru Amit
Last updated 1/2026
English

What you'll learn

  • Build enterprise-grade video & music generation workflows using Vertex AI Studio for real IT company use cases.
  • Generate high-quality images using Google Nano Banana and understand prompt-to-pixel transformation.
  • Engineer prompts with insurance claim data to automate intelligent workflows in Vertex AI Studio.
  • Analyze images using Gemini Vertex AI with multimodal prompting for deep visual understanding.
  • Detect and classify global landmarks using Google Cloud Vision API in real-world business scenarios.
  • Build OCR and Form Parser processors with Google Document AI to automate document intelligence.
  • Master prompt engineering and generative AI tools used by top IT companies in production-grade projects.
  • Practice 45+ Practice test exam questions with video explanations for correct and incorrect answers using elimination method.

Course content

2 sections • 16 lectures • 2h 21m total length

  • Vertex AI Studio Theory3:29

    In this video you will cover Vertex AI Studio theory concepts.

  • Video & Music Generation using Vertex AI Studio - Project #113:42

    Step into the future of content creation with this hands-on tutorial that unlocks the full power of Google Cloud Vertex AI Media Studio. Whether you're an AI enthusiast, educator, or creative technologist, this session will guide you through a seamless workflow—from generating photorealistic images with Imagen, to crafting background music using Lyria, and finally producing cinematic videos using Veo.


    What You’ll Learn:

    • How to access and navigate Vertex AI Media Studio

    • Prompt engineering for high-quality image generation using Imagen

    • Synthesizing natural-sounding music using Lyria 2

    • Combining visuals and audio to generate compelling videos with Veo

    • Best practices for tuning model settings (aspect ratio, temperature, token limits)

    • Reviewing safety filters and optimizing outputs for professional use

  • Google Nano Banana Theory2:40

    In this video you will cover Google Nano Banana Theory concepts.

  • Image Generation Using Google Nano Banana - Project #26:29

    Ready to turn words into jaw-dropping visuals? In this hands-on tutorial, you’ll master Google Cloud’s Nano Banana inside Vertex AI Studio—a cutting-edge tool for generating ultra-realistic, stylized, and cinematic images from text prompts.

    Whether you're a designer, educator, marketer, or creative technologist, this course will show you how to craft prompts that produce gallery-worthy results across genres—from fantasy armor to retro Polaroids.

    What You’ll Create:

    · A commercial-grade 1/7 scale figure with ZBrush modeling and toy box packaging

    · An 8K cinematic Navratri dance portrait in vibrant Gujarati lehenga

    · A cozy close-up of a hand-crocheted chibi yarn doll in natural lighting

    · A heroic fantasy character with glowing sword and epic mountain-fire backdrop

    · A nostalgic 1970s-style Polaroid with grainy texture and candid retro vibes

  • Prompt Engineering Using Insurance Claim Data In Vertex AI Studio - Project #311:49

    Unlock the power of Google Cloud’s Vertex AI Studio in this hands-on tutorial designed for aspiring prompt engineers, data analysts, and AI enthusiasts. In this session, you'll learn how to build a precision-tuned prompt that extracts structured data from messy insurance claim notifications—no coding required.


    What You’ll Learn:

    · How to create and rename prompts in Vertex AI Studio

    · Zero-shot vs. few-shot prompting: practical differences and outcomes

    · Writing effective system instructions for structured data extraction

    · Configuring model parameters like temperature, token limits, and Top-P for optimal results

    · Comparing outputs across different prompt strategies

    · Saving and managing tuned prompts for future use

    Real-World Use Case: Transform unstructured claim messages into clean, structured outputs—ideal for automating insurance workflows, training AI models, or building smart data pipelines.

  • Multimodel Prompt Theory0:56

    In this video you will cover Google Multimodel Prompt Theory concepts.

  • Image Analysis With Gemini Vertex AI With Multimodel Prompting - Project #44:58

    Unlock the power of multimodal AI with this hands-on tutorial using Gemini in Vertex AI Studio. Whether you're an ML engineer, data scientist, or AI enthusiast, this step-by-step walkthrough will show you how to build and test multimodal prompt workflows that combine text, image, and code inputs—all within Google Cloud’s cutting-edge Vertex AI platform.

    What You’ll Learn:

    · How to create and configure multimodal prompts using Gemini

    · Techniques for image analysis and interpretation with AI

    · Best practices for chaining inputs and outputs across modalities

    · Real-world use cases for enterprise AI and generative applications

  • Google Cloud Vision API Theory1:39

    In this video you will cover Google Cloud Vision API Theory concepts.

  • Detecting Landmarks using Google Cloud Vision API - Project #511:36

    Unlock the power of Google Cloud Vision API in this step-by-step, beginner-friendly tutorial designed for aspiring cloud engineers, AI enthusiasts, and certification candidates. In under 30 minutes, you'll go from zero to functional API calls—no prior experience required.


    What You'll Learn:

    · How to activate CloudShell and enable essential APIs

    · Create and configure a secure Cloud Storage bucket for image hosting

    · Upload and publicly share images for API access

    · Generate and manage API keys for authenticated requests

    · Craft a JSON payload for landmark detection and execute it via curl

    · Interpret the API response to identify famous landmarks from your uploaded image

  • Document AI API Theory1:47

    In this video you will cover Google Cloud Document AI API Theory concepts.

  • Google Document AI: Build OCR & Form Parser Processors - Project #619:24

    Unlock the power of Google Cloud’s Document AI with this step-by-step, hands-on tutorial designed for IT professionals, cloud learners, and certification candidates. In this practical lab, you'll learn how to build two powerful processors—OCR and Form Parser—using Python and Google Cloud Shell.


    What You'll Learn:

    · How to activate and configure the Document AI API in Cloud Shell

    · Create and deploy an OCR Processor to extract text from PDFs

    · Build a Form Parser Processor to intelligently extract structured data

    · Install and use Python client libraries for Document AI and Cloud Storage

    · Upload lab files, write processing scripts, and visualize extracted data with Pandas

Requirements

  • Access to a Google Cloud account (free tier is sufficient for most hands-on labs).
  • Basic understanding of cloud computing concepts (no prior Google Cloud experience required).
  • Familiarity with AI terms like models, prompts, and APIs is helpful but not mandatory.

Description

Unlock the full power of Google Cloud’s Generative AI ecosystem with this ultimate hands-on course designed for future AI leaders. Whether you're an IT professional, cloud architect, prompt engineer, or certification aspirant, this course gives you the practical skills and confidence to lead enterprise-grade AI projects.

Led by Cloud Guru Amit, you'll dive into real-world use cases used by top IT companies—no fluff, just results. From multimodal prompting to intelligent document processing, every module is packed with guided labs, visual demos, and exam-ready strategies. You’ll also tackle 45+ practice questions with detailed video explanations for both correct and incorrect answers using the method of elimination—each verified against Google’s official documentation.

This is more than a certification prep—it's your gateway to mastering generative AI in production environments.


Hands-On Projects You’ll Build:


  • Video & Music Generation using Vertex AI Studio for enterprise media workflows

  • Image Generation with Google Nano Banana for creative and business use cases

  • Prompt Engineering with insurance claim data in Vertex AI Studio

  • Image Analysis using Gemini Vertex AI with multimodal prompting

  • Landmark Detection using Google Cloud Vision API for location-aware apps

  • OCR & Form Parsing using Google Document AI to automate document workflows

Join now and become the generative AI leader your company needs !

Who this course is for:

  • IT professionals seeking hands-on experience with Google Cloud’s generative AI tools and enterprise-grade workflows.
  • Cloud architects and engineers aiming to master Vertex AI Studio, Document AI, and Vision API through real-world projects.
  • Certification aspirants preparing for Google Cloud AI credentials with guided practice tests and expert exam strategies.
  • Students and career switchers wanting to build portfolio-ready AI projects aligned with industry use cases.

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