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CoursesGoogle Cloud Skills BoostUpdated 2025-02-12

Beginner Introduction to Generative AI Learning Path

This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.

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The Perform Foundational Data, ML, and AI Tasks in Google Cloud course provides a hands-on introduction to essential data, machine learning, and AI concepts on Google Cloud. Designed for beginners, this course focuses on using Google Cloud tools to query datasets with BigQuery, build and evaluate ML models, and leverage pre-trained ML APIs for practical tasks such as image and text analysis. Through interactive labs, participants gain foundational knowledge and skills to explore data-driven solutions, making it an ideal starting point for those looking to integrate AI and ML into their projects or further their cloud expertise.

What you get

01

Hands-On Learning

Interactive labs provide real-world experience with Google Cloud tools like BigQuery and ML APIs.

02

Beginner-Friendly

Tailored for those new to data, AI, and ML, requiring no prior expertise in cloud technologies.

03

Comprehensive Coverage

Covers key concepts, from querying data to building and evaluating machine learning models.

04

Practical Applications

Focuses on using pre-trained ML APIs for tasks like image recognition, text analysis, and data insights.

By taking the, Beginner Introduction to Generative AI Learning Path, you will gain the following skills:

Real-World Skills: Gain hands-on experience with Google Cloud tools like BigQuery and AI/ML APIs, applying them to real-world tasks.

Beginner-Friendly: A perfect starting point for individuals new to data, AI, and machine learning, with no prior experience required.Enhanced Knowledge: Learn fundamental concepts such as querying data, building, and evaluating machine learning models.

Career Boosting: Build foundational cloud and data expertise, opening opportunities to pursue advanced roles or certifications in data science, AI, and cloud computing.

Practical Applications: Understand how to leverage AI/ML APIs for tasks like image analysis, language translation, and sentiment analysis.

Google Cloud Proficiency: Familiarises participants with Google Cloud’s powerful ecosystem, making them versatile in modern cloud-based solutions.

Self-Paced Learning: Allows for flexibility, enabling learners to progress at their own pace while mastering valuable technical skills.

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