This learning path provides a journey into leveraging Gemini within BigQuery for advanced data and AI workflows. Starting with foundational productivity enhancements, it progresses to building generative AI applications and culminates in mastering Retrieval Augmented Generation to mitigate AI inaccuracies. By completing this path, learners will gain practical skills in utilizing Gemini to streamline data processes, create innovative AI solutions, and ensure reliable AI outputs within the BigQuery environment.
Gemini in BigQuery Specialization
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Get in-depth knowledge of a subject
(5 reviews)
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(5 reviews)
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization
How to use AI/ML models for generative AI tasks in BigQuery
Build a RAG pipeline using BigQuery and generative AI models like Gemini and embedding models
Overview
Skills you'll gain
- Exploratory Data Analysis
- Big Data
- Natural Language Processing
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Data Manipulation
- SQL
- Machine Learning
- Predictive Modeling
- Data Visualization Software
- Data Analysis
- Large Language Modeling
- Data Processing
- Google Cloud Platform
- Artificial Intelligence
- Predictive Analytics
- Customer Relationship Management
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
3 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Google Cloud
Specialization - 3 course series
What you'll learn
Define the features of Gemini in BigQuery that aids the data-to-AI pipeline.
Explore data with Insights and Table Explorer.
Develop code with Gemini assistance.
Discover and visualize workflow with Data Canvas.
Skills you'll gain
Category: Data Analysis
Category: Data Visualization Software
Category: Generative AI
Category: Prompt Engineering
Category: Google Cloud Platform
Category: Data Processing
Category: Data Manipulation
Category: Exploratory Data Analysis
Category: Big Data
Category: Artificial Intelligence
What you'll learn
Recognize the AI capabilities of BigQuery.
Explain the workflow of using AI/ML models for predictive and generative tasks in BigQuery.
Create a solution for leveraging Gemini models in BigQuery with SQL queries.
Create a solution for leveraging Gemini models in BigQuery with Python notebooks.
Skills you'll gain
Category: Generative AI
Category: Python Programming
Category: Customer Relationship Management
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: SQL
Category: Applied Machine Learning
Category: Predictive Modeling
Category: Big Data
Category: Predictive Analytics
Category: Google Cloud Platform
What you'll learn
Generate embeddings using the embedding models with BigQuery.
Perform vector search in BigQuery and understand its process.
Create a RAG (Retrieval Augmented Generation) pipeline with BigQuery.
Skills you'll gain
Category: Generative AI
Category: Large Language Modeling
Category: Google Cloud Platform
Category: Machine Learning Algorithms
Category: Natural Language Processing
Category: Data Processing
Category: Prompt Engineering
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
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Frequently asked questions
9 hours in total , 1 week
Prior experience with programming languages including SQL and/or Python
Basic knowledge of ML and generative AI
Yes
More questions
Financial aid available,