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AI Fundamentals: Google Cloud ML & GenAI
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AI Fundamentals: Google Cloud ML & GenAI

Master AI & ML on Google Cloud. Learn generative AI, Vertex AI, and build ML models for data science and development.

Course Cost

₹ 2,699

Beginner

Skill Level

9 Hours

Self-paced Video lessons

This course offers a comprehensive introduction to AI and machine learning capabilities on Google Cloud. Designed for data scientists, AI developers, and ML engineers, it covers the entire data-to-AI lifecycle. The curriculum includes foundational concepts, development tools, and practical solutions. Participants will explore generative AI technologies, learn to use Vertex AI for model development, and gain hands-on experience with tools like BigQuery ML and Gen AI Studio. The course emphasizes both predictive and generative AI projects, providing a balanced approach to modern AI development. Through engaging learning experiences and practical exercises, students will enhance their skills in creating AI solutions using Google Cloud's advanced tools and technologies.

What you'll learn

  • Understand Google Cloud's AI and ML tools and technologies

  • Create generative AI projects using multimodal Gemini, efficient prompting, and model tuning

  • Explore various options for developing AI projects on Google Cloud

  • Build a complete ML model using Vertex AI

  • Learn about AI infrastructure, including storage and compute resources

  • Master the ML workflow from data preparation to model deployment

  • Automate MLOps processes using Vertex AI Pipelines

  • Gain practical experience with Gen AI Studio and Model Garden

Skills you'll gain

AI
machine learning
Google Cloud
Vertex AI
BigQuery ML
generative AI
Gemini
AutoML
MLOps

This course includes:

170 Minutes PreRecorded video

4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 6 modules in this course

This course provides a comprehensive overview of AI and machine learning capabilities on Google Cloud. It covers the entire data-to-AI lifecycle, including foundational concepts, development tools, and practical solutions. The curriculum is structured around a three-layer AI framework: fundamentals, development, and solutions. Participants will learn about Google Cloud's infrastructure, data products, and AI development options. The course includes hands-on experience with tools like BigQuery ML, Vertex AI, and Gen AI Studio. It also covers the latest advancements in generative AI, including multimodal models and prompt engineering. By the end of the course, learners will be equipped to create both predictive and generative AI projects using Google Cloud's advanced technologies.

Introdução

Module 1 · 4 Minutes to complete

Fundamentos da IA

Module 2 · 2 Hours to complete

Opções de desenvolvimento de IA

Module 3 · 1 Hours to complete

Fluxo de trabalho do desenvolvimento de IA

Module 4 · 3 Hours to complete

IA generativa

Module 5 · 2 Hours to complete

Resumo

Module 6 · 16 Minutes to complete

Fee Structure

Payment options

Financial Aid

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

AI Fundamentals: Google Cloud ML & GenAI

Beginner

Skill Level

9 Hours

Self-paced Video lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.