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Marco's Learning

AWS
- ML Engineer
  - Overview
  - Domain 1
    
    Collect, Ingest, and Store Data
    Transform Data
    Validate Data and Prepare for Modeling
  - Domain 2
    
    Choose a Modelling Approach
    Train Models
    Refine Models
    Analyze Model Performance
  - Domain 3
    
    Select a Deployment Infrastructure
    Create and Script Infrastructure
    Automate Deployment
  - Domain 4
    
    Monitor Model Performance and Data Quality
    Monitor and Optimize Infrastructure and Costs
    Secure AWS ML Resources
  - Services
    
    AI Services
    Bedrock
    SageMaker
  - Resources
    
    Enhanced Plan
    Random Notes
    Sample Questions
    Resources
- Data Engineer current
  - Overview
  - Plan
    
    Foundations
    A Data Lake
    A Data Warehouse
    A Batch Data Pipeline
    A Streaming Data Pipeline
  - Course
    
    Overview
    Fundamentals
    
    Storage
    
    Simple Storage Service (S3)
    Elastic Block Store (EBS)
    Elastic File System (EFS)
    
    Database
    
    Amazon DynamoDB
    Amazon Redshift
    Amazon DocumentDB
    Amazon MemoryDB
    Amazon Keyspaces
    Amazon Neptune
    Amazon Timestream
    Amazon Redshift
    
    Migration & Transfer
    
    Migration Services
    Database Migration Service (DMS)
    AWS DataSync
    AWS Snow Family
    
    Application Integration
    
    Simple Queue Service (SQS)
    Simple Notification Service (SNS)
  - Practice Exams
    
    Sample Questions
    Exam 1
  - Resources
    
    Enhanced Plan
- Developer
  - Overview
  - Resources
    
    Enhanced Plan
  - Recommended
    
    AWS Technical Essentials
    Deploying Applications with AWS Elastic Beanstalk
    Introduction to Containers
Microsoft
- Overview
- AI Engineer
  - Overview
Snowflake
- Overview
- Badges
  - 1: Data Warehousing
    
    Getting Set Up
    Identity and Access
Neo4j
- Overview
- Fundamentals
  - Neo4j Fundamentals
    
    Graph Thinking
    Property Graphs
    Explore Neo4j
  - Cypher Fundamentals
    
    Reading Data from Neo4j
- Generative AI
  - Neo4j & LLM Fundamentals
    
    Introduction to Neo4j & GenAI
    Avoiding Hallucination
Kubernetes

On this page

Overview

On this page

Overview

Transform Data

Note

Domain 1: Data processing

Caution

page to be done

Collect, Ingest, and Store Data

Validate Data and Prepare for Modeling