Curriculum
- 12 Sections
- 67 Lessons
- 10 Weeks
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- Introduction4
- MLOps Fundamentals3
- AWS and MLOps7
- AWS Specific Tools and Configurations11
- 4.1DevOps Lifecycle Tools in AWS
- 4.2Creating and Configuring an AWS Account
- 4.3Security Setup: MFA, IAM Accounts, and Policies
- 4.4Introduction to S3 Buckets and EC2 Instances
- 4.5AWS Specific Tools and Configurations
- 4.6Creation of S3 Bucket from Console
- 4.726. Creation of S3 Bucket from CLI
- 4.8Version Enablement in S3
- 4.9Introduction EC2 instances
- 4.10Launch EC2 instance & SSH into EC2 Instances
- 4.11Housekeeping Activity
- Linux and Bash for MLOps3
- Core Concepts10
- 6.1CI/CD Pipeline Introduction
- 6.2Getting Started with AWS CodeCommit & Distributed Version Control Systems (DVCS)
- 6.3Initial Configuration & Basic Git Commands
- 6.4Setting Up Your Git Workspace
- 6.5Understanding Git Workflow
- 6.6Adding Files to the Staging Area & Understanding Staged Differences
- 6.7Unstaging, Resetting, and Reverting Changes in Git
- 6.8Working with AWS CodeCommit: Remote Commands, Security, and Integrations
- 6.9Cloning, Branching, and Handling Git Branches: Hands-On Parts 1 & 2
- 6.10Resolving Git Conflicts, Rebasing vs. Merging, and Using Git Stash
- Deployment & Security8
- 7.1Introduction to AWS CodeDeploy & YAML
- 7.2First Steps with AWS CodeDeploy: Hands-On Introduction and Deep Dive
- 7.3Exploring AWS CodePipeline: Creation and Automation with Manual Approval
- 7.4Introduction to Docker: Basics & Installation
- 7.5Pull the image from Docker Desktop
- 7.6Dockerfile
- 7.7Push the Docker Image to ECR
- 7.8Hands on – Amazon ECR for AWS CodeBuild
- Amazon SageMaker & Feature Engineering11
- 8.1Why Amazon SageMaker is Preferred for Machine Learning Workflows
- 8.2Domain Creation, Studio Setup, and Clean-Up Activities in SageMaker
- 8.3Feature Engineering Essentials, Data Wrangler Setup, and Transformation Techniques
- 8.4Data Quality and Insights Report
- 8.5Univariate Analysis & Bias Report
- 8.6Target Leakage
- 8.7Data Transformation
- 8.8Data Transformation – Custom Script
- 8.9Export to S3
- 8.10Feature Engineering on Sagemaker Notebook Instance
- 8.11Summary
- Advanced Concepts3
- Building and Managing MLOps Pipelines3
- Packaging, Deployment, and Kubernetes3
- DevOps1
Advanced AWS CodeDeploy Techniques and Deep Dive into AppSpec.yml
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