Olanike A.
After 365:
Data Analyst & AI Project Manager | PublicaAI
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Online Course
Building Data & AI Solutions on Google Cloud
with
Samantha Guerriero
Master End-to-End Cloud Analytics & AI Workflows
37 students already enrolled
Skill level:
Intermediate
Duration:
2 hours
-
Lessons (4 hours)
- Lessons (4 hours)
CPE credits:
4
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited
certificate
What you learn
- Data Professionals
- AI & Machine Learning Practitioners
- Cloud & Technology Professionals
- Tech-Savvy Business Professionals
Topics & tools
GCPGoogle CloudCloud ComputingAIGoogle cloud
Your instructor
Track record
Bringing real-world expertise from leading global companies
Academic background
Sapienza University of Rome
Course OVERVIEW
Description
CPE Credits: 4
Field of Study: Computer Software & App
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
From Data Pipelines to Deployed AI
If you already understand the fundamentals of Google Cloud, the next step is learning how to bring everything together into full, working solutions.
This course moves beyond isolated tools and features. Instead, you’ll learn how to think like a cloud solution architect — designing, building, and deploying complete data and AI workflows on Google Cloud.
The structure of the course follows the real journey of a data & AI project:
1. Transform your data
2. Analyze your data
3. Activate insights with pre-built AI
4. Build and deploy custom AI
Throughout the course, you’ll work through anonymized real-world consulting case studies based on actual Google Cloud AI implementations. These scenarios help you understand not only how to use the tools, but when and why to use them.
You’ll see the full lifecycle — from raw data ingestion to deployed AI endpoints.
Prerequisites
- Intro to Google Cloud
Advanced preparation
Curriculum
37 lessons
31 exercises
1 exam
- 2. Transform your data with Google Cloud51 min51 minSetting the scene...🎥 FreeChoose the right storage: files, objects or databases? FreeDemo 1: Store data on Cloud Storage FreeDesign database schemas for BigQuery and CloudSQL FreeExercise FreeTransform your data with ETL and ELT on Google Cloud FreeDemo 2: Build your first data pipeline with Dataflow FreeExercise Free...And, it's a wrap up! 🎬 FreeExercise Free
- 3. Analyze your data on Google Cloud54 min54 minSetting the scene...🎥Plan your analytics strategy on Google CloudExerciseQuery your data at scale on BigQueryDemo 3: Discover and explore BigQuery public datasetsDemo 4: Uncover data trends with BigQueryCreate meaningful data stories on Google CloudDemo 5: Create your first Looker Studio dashboardExercise...And, it's a wrap up! 🎬Exercise
- 4. Activate your data with pre-built AI on Google Cloud50 min50 minSetting the scene...🎥Navigate Google Cloud's managed AI ecosystemExerciseAccelerate insights with pre-built AI APIsDemo 6: Use AI APIs for unstructured data insightsLeverage foundational GenAI on Google CloudExerciseDemo 7: Enhance your data with GenAI on BigQuery...And, it's a wrap up! 🎬Exercise
- 5. Get started with custom AI on Google Cloud62 min62 minSetting the scene...🎥When to choose custom AI on Google Cloud?Find your custom AI path on Vertex AIExerciseFast-track your custom AI with managed servicesDevelop fully custom AI on Google CloudDemo 8: Experiment with your custom ML models on Vertex AI NotebooksDeploy AI models for production useDemo 9: Deploy a trained ML model on Vertex AI EndpointExerciseAdvanced: MLOps considerations on Google Cloud...And, it's a wrap up! 🎬Exercise
- 6. Next steps in your Google Cloud journey6 min6 minA blueprint for data & AI success on Google CloudExerciseKudos for completing the course!
- 7. Course exam60 min60 minCourse exam
Free lessons
1.1 Intro to your new Google Cloud chapter
5 min
1.2 What's the cloud solution mindset?
3 min
1.3 Discover the real-world use cases behind the course
2 min
2.2 Choose the right storage: files, objects or databases?
9 min
2.3 Demo 1: Store data on Cloud Storage
10 min
96%
of our students recommend
365 Data Science.
#1 most reviewed
AI and data learning platform on Trustpilot.
94%
of AI and data science graduates
successfully change
or advance their careers.
ACCREDITED certificates
Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global
institutions.
Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities
employers value most.
Certificates are included with the Self-study learning plan.
How it WORKS
Student REVIEWS
