Beginner Introduction to Generative AI Learning Path

About

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.

Features

Hands-On Learning:

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

Beginner-Friendly:

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

Comprehensive Coverage:

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

Practical Applications:

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

Benefits

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

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

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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.

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

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

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

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

Community Resources

Terms: https://www.cloudskillsboost.google/terms_of_service

Google cloud development centre: https://cloud.google.com/developers

Google cloud catalogue: https://www.cloudskillsboost.google/catalog

Google cloud skill path: https://www.cloudskillsboost.google/paths

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Highlights

This course offers hands-on training to develop foundational skills in data analysis, machine learning, and AI using Google Cloud tools. Designed for beginners, the course focuses on practical applications like querying datasets with BigQuery, building and deploying machine learning models, and leveraging pre-trained ML APIs for tasks such as image recognition and text analysis. Participants gain valuable expertise in Google Cloud services, making it a great starting point for advancing careers in data science, AI, machine learning, and cloud computing.