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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
Basics
Learn Kubernetes
Create a cluster
Deploy an app
Explore your app
Expose your app publicly
Scale up your app
Update your app
Minikube
Hello Minikube
LFS158x
Introduction to Kubernetes
From Monolith to Microservices
Container Orchestration
Kubernetes
Kubernetes Architecture
Installing Kubernetes
Minikube
Acessing Minikube
Kubernetes Building Blocks
Authentication & Authorization
Deploying a Stand-Alone Application
Services
Kubernetes Volume Management
ConfigMaps & Secrets
Ingress
Advanced Topics
Kubernetes Community
Monitor and Optimize Infrastructure and Costs
Monitor Infrastructure
Importance of Monitoring ML Infrastructure
Monitoring Performance Metrics
Monitoring and Observability
Monitoring Tools for Performance and Latency
Observability and Auditing Your ML Solution
Setting Up Dashboards
Optimize Infrastructure
Rightsizing Compute Infrastructure for ML Solutions
Demo: Amazon SageMaker Inference Recommender
Optimize Costs
Reducing Monitoring Costs
Balancing Capacity, Cost, and Performance
Using AWS Cost Management Tools with ML Solutions
Purchasing Option to Optimize ML Infrastructure Costs
Resources