Software, Cloud & Web Development
Data, Analytics & AI
Data, Analytics & AI is a course in Cloud Computing Fundamentals: AWS, Azure & Google Cloud. 10 lessons covering Machine Learning in the Cloud: SageMaker, Azure ML, Vertex AI; Building a Simple ML Model with SageMaker; IoT Services in the Cloud.
10 published lessons · Online learning · Part of Learn & Grow
View the curriculum here. Sign in to access lessons under your learning plan.
What this course covers
- Machine Learning in the Cloud: SageMaker, Azure ML, Vertex AI · 15 min
- Building a Simple ML Model with SageMaker · 15 min
- IoT Services in the Cloud · 15 min
- Serverless Real-Time Data with Kinesis, Event Hubs, Pub/Sub · 15 min
- Cloud Migration Strategies (The 6 R's) · 15 min
- High Availability and Disaster Recovery Architectures · 15 min
- Content Delivery and Edge Computing (CloudFront, Lambda@Edge) · 15 min
- Multi-Cloud and Hybrid Strategies · 15 min
- Career Paths and Certifications in Cloud Computing · 15 min
- Building Your Cloud Portfolio Project – Part 1 (Planning) · 15 min
Continue your learning path
This course belongs to Cloud Computing Fundamentals: AWS, Azure & Google Cloud. Explore the full academy to see the other courses in this learning path.
How to get started
- Create your Learn & Grow account or sign in.
- Review the available access plans and choose the academy you need.
- Work through the lessons and activities in your learning dashboard.
Contact support if you need help choosing the right learning path.