Description

Introduction

As organizations adopt AI to streamline workflows, Agentic AI stands at the frontier—enabling autonomous, intelligent agents to execute complex enterprise tasks with minimal human oversight. This course introduces how Agentic AI transforms traditional automation by incorporating goal-oriented reasoning, multi-step planning, and real-time tool use. Learners will explore how to design, deploy, and manage agentic systems that enhance productivity across business functions.

Prerequisites

This course is designed for enterprise developers, automation architects, and AI engineers with:

• Basic to intermediate Python programming knowledge

• Familiarity with LLM APIs (e.g., OpenAI, Claude, Azure OpenAI)

• Understanding of enterprise IT workflows, RPA, or business automation tools

• (Optional) Exposure to LangChain, AutoGen, or workflow orchestration tools

Table of Contents

1. Introduction to Agentic AI in the Enterprise

• 1.1 What is Agentic AI?

• 1.2 Reactive vs Autonomous Automation

• 1.3 Key Benefits in Business Contexts

2. Core Concepts and Components

• 2.1 Agents, Tools, and Task Chains

• 2.2 Memory, Planning, and Autonomy in Enterprises

• 2.3 Integrating APIs, RPA Bots, and Internal Systems

3. Frameworks for Enterprise Agentic AI

• 3.1 LangChain for Task Automation

• 3.2 AutoGen for Multi-Agent Task Delegation

• 3.3 CrewAI for Role-Based Enterprise Workflows

• 3.4 Connecting with Robotic Process Automation (RPA) Tools

4. Enterprise Use Cases and Design Patterns

• 4.1 Agentic Customer Support Automation

• 4.2 Document Understanding and Report Generation

• 4.3 Financial Analysis and Compliance Agents

• 4.4 HR and Recruiting Automation via Goal-Driven Agents

• 4.5 Sales Pipeline Management and Email Sequencing

5. Building a Scalable Agentic System

• 5.1 Task Planning and Execution Loops

• 5.2 Modular Toolkits and API Connectors

• 5.3 Data Flow: Input, Output, and Memory Stores

• 5.4 Workflow Orchestration Across Departments

6. Monitoring, Governance, and Compliance

• 6.1 Logging, Auditing, and Observability

• 6.2 Role of Human-in-the-Loop for Risk Control

• 6.3 Security and Data Protection in Enterprise Environments

7. Deployment and Integration

• 7.1 Cloud, On-Prem, and Hybrid Deployment

• 7.2 Integration with Enterprise Platforms (e.g., SAP, Salesforce, MS Teams)

• 7.3 CI/CD for Agent Updates and Version Control

8. Future-Proofing and Scaling

• 8.1 Organizational Change for Agentic AI

• 8.2 Agent Lifecycle Management

• 8.3 Enterprise Roadmap: From Pilot to Production

Agentic AI elevates enterprise automation from task-based scripting to autonomous orchestration—empowering agents to handle dynamic business processes intelligently. This course equips you to design scalable, secure, and effective agentic systems tailored to enterprise demands. By the end, you’ll be ready to transform automation workflows using cutting-edge AI agents that reason, act, and deliver results independently.