AWS
Description
AI, or Artificial Intelligence, is a broad field focused on creating machines that can mimic human intelligence, while ML, or Machine Learning, is a specific subset of AI that enables machines to learn from data without explicit programming.
What You will Learn
It offers a wide array of services, including computing power, storage, databases, analytics, networking, mobile, developer tools, and more, all accessible over the internet on a pay-as-you-go basis
After this training, you will be able to:
Course Syllabus
AI & ML
- What is Cloud Computing? (IaaS, PaaS, SaaS)
- AWS Global Infrastructure (Regions, Availability Zones, Edge Locations)
- Benefits of AWS & Pricing Models
- AWS Free Tier & Hands-on Setup
- Comparing AWS with Other Cloud Providers (Azure, GCP)
- Amazon EC2 (Elastic Compute Cloud)
- EC2 Instance Types, Pricing & Auto Scaling
- Elastic Load Balancing (ELB) & Auto Scaling Groups (ASG)
- Amazon Lambda (Serverless Computing)
- AWS Elastic Beanstalk (PaaS for Web Apps)
- Amazon S3 (Simple Storage Service) & Lifecycle Policies
- Amazon EBS (Elastic Block Store) for EC2 Instances
- Amazon EFS (Elastic File System) for Shared Storage
- AWS Backup & Disaster Recovery
- Amazon Glacier for Data Archiving
- Amazon VPC (Virtual Private Cloud) & Subnetting
- Security Groups, Network ACLs & Firewalls
- AWS Route 53 (DNS Management)
- AWS CloudFront (CDN for Fast Content Delivery)
- AWS Identity & Access Management (IAM) Policies & Roles
- AWS Security Hub & AWS Shield (DDoS Protection)
- Amazon RDS (MySQL, PostgreSQL, SQL Server)
- Amazon DynamoDB (NoSQL Database Service)
- Amazon Redshift (Data Warehousing)
- Amazon Aurora (High-Performance RDBMS)
- AWS Database Migration Service (DMS)
Hook up Course
- StartsThis Week
- Duration6 Months, 6 hrs / week