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AWS Cloud Technical Essentials Training
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AWS Cloud Technical Essentials Training

Master the core AWS services that power modern cloud infrastructure — from networking and compute to databases and security. This course gives you the hands-on skills to architect, deploy, and protect AWS environments with confidence. Whether you're breaking into cloud or formalizing what you already know, this is your technical foundation.

Dedika for students

What your team will master:

  • Configure IAM users, roles, and policies to enforce least-privilege access across AWS resources.

  • Build and segment VPCs with public and private subnets, route tables, and security groups.

  • Deploy and manage EC2 instances, Lambda functions, and containerized workloads on ECS and EKS.

  • Select and configure the right storage service — S3, EBS, or EFS — for any given workload.

  • Monitor infrastructure with CloudWatch metrics and alarms, and automate scaling with Auto Scaling Groups.

  • Apply AWS Well-Architected Framework principles to design resilient, secure, and cost-optimized systems.

How your team studies in practice AWS Cloud Technical Essentials Training

How your team practices AWS Cloud Technical Essentials Training

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Cloud Computing Foundations and AWS Overview

  • Lesson 1 • AWS Global Infrastructure

    Maps Regions, Availability Zones, and edge locations to real-world resilience patterns. Provides the geographic context needed for architecture decisions throughout the course.

  • Lesson 2 • AWS Management Console and CLI

    Introduces the three primary AWS access methods: Console, CLI, and SDKs. Hands-on navigation skills enable students to complete all lab exercises in later chapters.

  • Lesson 3 • AWS Pricing and Support Plans

    Explains pay-as-you-go pricing, free tier limits, and cost estimation tools. Students can forecast spend before deploying resources in subsequent labs.

  • Lesson 4 • AWS Shared Responsibility Model

    Clarifies which security tasks AWS owns versus customer-owned tasks. This mental model governs every security decision covered in later chapters.

  • Lesson 5 • What Is Cloud Computing

    Defines cloud computing, contrasts it with on-premises IT, and introduces service models. Anchors all subsequent AWS service discussions in shared vocabulary.

Chapter 2See details

Identity, Access, and Security Fundamentals

  • Lesson 1 • Multi-Factor Authentication and Password Policies

    Covers MFA device types, enforcement strategies, and IAM password policies. These controls harden accounts before students expose resources to the internet.

  • Lesson 2 • IAM Roles and Temporary Credentials

    Explains role assumption, STS tokens, and cross-account access patterns. Roles replace long-term credentials for EC2 instances and Lambda functions covered later.

  • Lesson 3 • AWS Identity and Access Management Basics

    Introduces IAM as the central access control service and explains its core objects. Establishes the permission framework used in every subsequent service configuration.

  • Lesson 4 • Writing and Attaching IAM Policies

    Teaches JSON policy structure, effect/action/resource elements, and policy attachment. Students write policies that precisely scope permissions for EC2, S3, and other services.

  • Lesson 5 • AWS Organizations and Service Control Policies

    Introduces multi-account governance using AWS Organizations and SCPs. Students understand how enterprise-scale permission guardrails complement IAM policies.

Chapter 3See details

Compute Services on AWS

  • Lesson 1 • EC2 Storage and Networking Options

    Covers EBS volume types, instance store trade-offs, and Elastic IP addresses. Students attach and configure storage before the dedicated storage chapter deepens these skills.

  • Lesson 2 • Containers with ECS and EKS

    Explains Docker fundamentals, ECS task definitions, and EKS cluster concepts. Students understand container orchestration options before choosing architectures in later chapters.

  • Lesson 3 • Amazon EC2 Instance Fundamentals

    Explains instance types, AMIs, and the launch wizard workflow. Provides the hands-on compute baseline that networking and storage chapters build upon.

  • Lesson 4 • EC2 Pricing Models and Cost Optimization

    Compares On-Demand, Reserved, Spot, and Savings Plans pricing. Students apply cost-aware selection criteria to every compute decision in later labs.

  • Lesson 5 • AWS Lambda and Serverless Compute

    Introduces event-driven execution, function configuration, and invocation models. Serverless patterns complement EC2 and appear in the application integration chapter.

Chapter 4See details

Networking and Content Delivery

  • Lesson 1 • Amazon VPC Architecture Essentials

    Defines VPCs, CIDR blocks, and the default VPC behavior. This foundational topology hosts every compute and database resource deployed in subsequent chapters.

  • Lesson 2 • VPC Connectivity Options

    Explains VPC peering, Transit Gateway, VPN, and Direct Connect use cases. Students select the right connectivity model for hybrid and multi-VPC architectures.

  • Lesson 3 • Subnets, Route Tables, and Gateways

    Covers public and private subnet design, route table rules, and internet gateway attachment. Students build the multi-tier network used in the application architecture chapter.

  • Lesson 4 • Amazon Route 53 and CloudFront

    Covers DNS routing policies, health checks, and CloudFront distribution setup. These services complete the content delivery layer for web applications built later.

  • Lesson 5 • Security Groups and Network ACLs

    Contrasts stateful security groups with stateless NACLs and explains rule evaluation order. Proper layering of these controls protects resources deployed in all later labs.

Chapter 5See details

Storage Services on AWS

  • Lesson 1 • Amazon EFS and FSx File Systems

    Explains NFS-based EFS and Windows-native FSx for shared file access patterns. Students choose between file systems for multi-instance and enterprise workloads.

  • Lesson 2 • Amazon S3 Core Concepts

    Introduces buckets, objects, keys, and the S3 consistency model. S3 underpins static hosting, data lakes, and backup patterns used throughout the course.

  • Lesson 3 • Amazon EBS Deep Dive

    Examines gp3, io2, st1, and sc1 volume types with IOPS and throughput benchmarks. Students match volume types to database and application workload requirements.

  • Lesson 4 • S3 Security and Access Control

    Covers bucket policies, ACLs, Block Public Access, and pre-signed URLs. Students apply least-privilege S3 access before integrating it with compute services.

  • Lesson 5 • AWS Storage Gateway and Data Transfer

    Covers hybrid storage with Storage Gateway and bulk transfer with Snow family devices. Students design migration paths for on-premises data moving to AWS.

Chapter 6See details

Database Services on AWS

  • Lesson 1 • Amazon Aurora Architecture

    Explains Aurora's distributed storage, cluster endpoints, and Serverless v2 scaling. Students understand when Aurora outperforms standard RDS for demanding workloads.

  • Lesson 2 • Amazon RDS Fundamentals

    Introduces managed relational databases, supported engines, and the RDS launch workflow. RDS underpins the three-tier application architecture assembled in the next chapter.

  • Lesson 3 • Amazon DynamoDB NoSQL Essentials

    Covers tables, partition keys, sort keys, and DynamoDB's single-digit millisecond performance. Students design key schemas that avoid hot partitions in high-throughput apps.

  • Lesson 4 • Purpose-Built Database Services

    Surveys Neptune, Timestream, QLDB, and Keyspaces for specialized data models. Students match non-relational data requirements to the correct AWS database service.

  • Lesson 5 • Caching with ElastiCache

    Explains Redis and Memcached caching patterns and cluster configuration. Caching reduces database load for the web application built in the next chapter.

Chapter 7See details

Monitoring, Automation, and Scaling

  • Lesson 1 • Elastic Load Balancing

    Compares ALB, NLB, and Gateway Load Balancer and explains listener rules and target groups. Load balancers distribute traffic across the Auto Scaling group built in the prior section.

  • Lesson 2 • CloudWatch Logs and Insights

    Explains log groups, log streams, subscription filters, and Logs Insights queries. Centralized logging is essential for diagnosing issues in distributed applications.

  • Lesson 3 • AWS Auto Scaling Groups

    Covers launch templates, scaling policies, and health check replacement. Auto Scaling ensures the compute layer responds to demand changes without manual intervention.

  • Lesson 4 • Infrastructure as Code with CloudFormation

    Teaches template structure, stack operations, and change sets. Students automate the multi-tier architecture built throughout the course into a repeatable template.

  • Lesson 5 • Amazon CloudWatch Metrics and Alarms

    Introduces namespaces, metrics, dimensions, and alarm states. Alarms trigger the Auto Scaling actions and notifications configured in later sections.

Chapter 8See details

Architecting for Reliability and Security

  • Lesson 1 • Threat Detection and Incident Response

    Covers GuardDuty findings, Security Hub aggregation, and AWS Config compliance rules. Students build a detection layer that alerts on misconfigurations and active threats.

  • Lesson 2 • Data Protection and Encryption

    Explains AWS KMS key types, envelope encryption, and secrets management with Secrets Manager. Students encrypt data at rest and in transit across all services deployed.

  • Lesson 3 • Designing for High Availability

    Covers multi-AZ deployments, failover strategies, and recovery time objectives. Students apply HA patterns to the three-tier application built in earlier chapters.

  • Lesson 4 • Cost Optimization Strategies

    Applies Cost Explorer, Budgets, and Trusted Advisor recommendations to reduce waste. Students produce a cost optimization plan for the architecture built throughout the course.

  • Lesson 5 • AWS Well-Architected Framework Overview

    Introduces the six pillars and the Well-Architected Tool review process. This framework organizes all design trade-offs discussed in the chapter.

Certification

Your valid completion certificate

This course is for you:

  • Sysadmin: ready to shift from on-premises servers to cloud infrastructure.

  • Software developer: wants to understand the AWS services surrounding their applications.

  • IT support specialist: aiming to move into a cloud engineering or operations role.

  • Recent computer science graduate: building practical AWS skills before entering the job market.

  • Network engineer: looking to translate existing networking knowledge into cloud environments.

  • Career changer: transitioning into tech with a goal of landing a cloud role.

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