Description

Introduction

Agentic AI brings the power of autonomous, intelligent agents to high-stakes domains like finance, healthcare, and retail, where speed, accuracy, and adaptability are critical. This course explores how goal-driven agents powered by large language models (LLMs) are revolutionizing industry operations—from fraud detection and claims processing to virtual health assistants and dynamic pricing. Learners will gain insights into domain-specific architectures, compliance-aware implementations, and real-world impact of deploying agentic AI at scale.

Prerequisites

This course is ideal for AI professionals, domain architects, and solution designers with:

• Intermediate Python and API integration skills

• Familiarity with LLMs and basic agentic AI concepts

• Understanding of industry-specific systems (e.g., EMR for healthcare, POS for retail, ERP for finance)

• Awareness of regulatory requirements (e.g., HIPAA, PCI-DSS, GDPR)

Table of Contents

1. Overview of Agentic AI Across Industries

• 1.1 Defining Agentic AI and Its Capabilities

• 1.2 Why Agentic AI Outperforms Traditional Automation

• 1.3 Challenges and Considerations in Regulated Sectors

2. Agentic AI in Finance

• 2.1 Use Cases: Fraud Detection, KYC/AML, Portfolio Monitoring

• 2.2 Designing Autonomous Financial Advisors

• 2.3 Compliance-Aware Agent Design (SEC, PCI-DSS)

• 2.4 Integrating with Core Banking and Fintech APIs

3. Agentic AI in Healthcare

• 3.1 Use Cases: Clinical Triage, Medical Coding, Claims Processing

• 3.2 Designing Agents with HIPAA-Compliant Workflows

• 3.3 Integrating with EHR/EMR Systems and HL7 Standards

• 3.4 Virtual Health Agents and Patient Monitoring

4. Agentic AI in Retail

• 4.1 Use Cases: Inventory Reordering, Pricing Optimization, Customer Engagement

• 4.2 Building Shopping Assistants and Post-Purchase Agents

• 4.3 Connecting to POS, CRM, and Supply Chain APIs

• 4.4 Personalization Engines Powered by Agentic AI

5. Cross-Sector Agent Design Patterns

• 5.1 Perception-Planning-Action Loops in Industry Workflows

• 5.2 ReAct and Plan-and-Execute for Enterprise Tasks

• 5.3 Leveraging Domain-Specific Knowledge Bases and Toolkits

6. Governance, Safety, and Scalability

• 6.1 Regulatory Risk Management

• 6.2 Guardrails for Sensitive Data and Mission-Critical Decisions

• 6.3 Human Oversight in High-Impact Scenarios

• 6.4 Auditing and Logging for Industry Compliance

7. Case Studies and ROI

• 7.1 Financial Services: Automated Risk Analysis Agent

• 7.2 Healthcare: Virtual Intake Nurse with LLM Workflow

• 7.3 Retail: Multilingual Product Advisor with Inventory Sync

• 7.4 Measurable Impact on Costs, Customer Experience, and Time-to-Resolution

Agentic AI is driving a new wave of transformation across finance, healthcare, and retail—automating complex workflows while adhering to industry standards. By understanding domain-specific architectures, risks, and tools, learners will be equipped to design and deploy impactful, autonomous agents that deliver measurable ROI and long-term strategic value.