Curriculum Overview: AWS Business Application Services

This curriculum provides a comprehensive breakdown of Amazon Connect and Amazon Simple Email Service (SES), focusing on how these services facilitate cloud-based customer engagement and communication at scale.

---

Prerequisites

Before beginning this module, learners should have a foundational understanding of the following:

• Cloud Computing Basics: Familiarity with the AWS Global Infrastructure (Regions and Availability Zones).
• Client-Server Model: Basic knowledge of how applications request data and how servers respond.
• Customer Communication Fundamentals: Understanding of why businesses need contact centers (IVR, call routing) and the difference between transactional and marketing emails.
• AWS Management Console: Ability to navigate the AWS dashboard.

---

Module Breakdown

---

Learning Objectives per Module

BUS-01: Amazon Connect

• Define Amazon Connect as a cloud-based contact center solution.
• Explain the omnichannel capabilities, including voice, chat, SMS, and social media engagement.
• Identify AI/ML integrations such as Amazon Lex (chatbots) and Amazon Polly (text-to-speech).
• Describe the scalability benefits of moving from an on-premises PBX to a cloud contact center.

BUS-02: Amazon Simple Email Service (SES)

• Distinguish between transactional emails (receipts) and marketing emails (newsletters).
• Explain the importance of sender reputation, including bounce and complaint tracking.
• Identify the cost-benefit of the AWS Free Tier (e.g., 62,000 free outbound messages/month).
• Understand the integration methods (SMTP vs. SES API).

---

Visual Anchors

Amazon Connect Customer Flow

Amazon SES Delivery Process

---

Success Metrics

To demonstrate mastery of this curriculum, the learner must be able to:

1. Scenario Choice: Correctly identify when to use Connect (Customer Support) vs. SES (Automated Emailing) in a case study.
2. Reputation Management: Explain how to use SES tracking to prevent being flagged as spam.
3. Cost Efficiency: Calculate potential savings for a business sending 100,000 emails per month using SES vs. traditional providers.
4. AI Integration: Describe how Amazon Lex can be used within a Connect contact flow to reduce wait times.

---

Real-World Application

• Retail/E-commerce: Using SES to send automated password resets and order confirmations instantly. Using Connect to manage holiday peak-season support volume without buying physical hardware.
• Financial Services: Using Connect's voice recognition to verify customer identities before routing to a specialist.
• SaaS Startups: Utilizing the SES Free Tier to scale marketing newsletters during early-stage growth without high overhead costs.

[!TIP] Exam Fact: On the Cloud Practitioner exam, remember that Amazon Connect is for Contact Centers (inbound/outbound customer service), while SES is for Bulk/Transactional Email infrastructure.

---

Examples Section

Example 1: The Automated Help Desk (Amazon Connect)

Scenario: A travel agency experiences a high volume of "Check My Refund Status" calls.

• Implementation: The agency creates a Contact Flow in Amazon Connect that uses Amazon Lex to ask for the customer's booking ID.
• Result: The bot retrieves the status from a database and reads it back to the customer using Amazon Polly, freeing up human agents for complex issues.

Example 2: The Security Alert (Amazon SES)

Scenario: A banking app detects a login from a new device.

• Implementation: The app's backend triggers an API call to Amazon SES.
• Result: Within seconds, the customer receives a transactional email stating, "A new device has logged into your account," allowing for immediate security action.

Comparison Table: Connect vs. SES