Agentic AI for Developers: Concepts and Application for Enterprises

1h 31mIntermediate2024-09-16

Authors

Kumaran Ponnambalam

Working with data for 20+ years

Course details

Agentic AI is at the forefront of the next wave of technological advancements in the generative AI world, transforming the way business processes are executed in the future. As agentic AI becomes more capable of performing tasks traditionally requiring human intelligence and oversight, it is crucial for data scientists and engineers to understand how these systems work and best practices to build them. In this course, Kumaran Ponnambalam discusses the concepts and building blocks for agentic AI. He explores how enterprise use cases can be built with a few examples, and reviews responsible AI considerations for agentic AI.

Learning objectives
Establish the definition of agentic AI and how it compares to single-shot inference with gen AI.
Gain an understanding of the building blocks and design patterns for agentic AI.
Establish familiarity with popular use cases for agentic AI for enterprises.
Build sample agentic AI applications using popular frameworks available.
Comprehend key responsible AI considerations when bringing agentic AI to enterprises.

Skills covered

Programming FoundationsGenerative AIArtificial Intelligence FoundationsArtificial Intelligence for BusinessArtificial Intelligence (AI)Business Analysis and StrategySoftware DevelopmentOne-Off

Concepts

0. Introduction

01 - Building your own AI agent
02 - Course coverage and prerequisites

1. Introduction to Agentic AI

03 - Basic GenAI uses and limitations
04 - What is agentic AI
05 - An agentic AI example
06 - Benefits and challenges of agentic AI
07 - Technologies for agentic AI

2. An Agentic AI System

08 - Components of an agentic AI system
09 - Goals in agentic AI
10 - Planner in agentic AI
11 - Orchestrator and executor in agentic AI
12 - Tools in agentic AI
13 - GenAI models in agentic AI
14 - Memory in agentic AI

3. Your First Agentic AI Application

15 - A basic AI agent
16 - Router AI agent design
17 - Setting up the indexes for the router
18 - Setting up the agentic router
19 - Routing with agentic AI

4. Design Patterns for Agentic AI

20 - Reflection pattern in agentic AI
21 - Router pattern in agentic AI
22 - Tool use pattern in agentic AI
23 - Planning pattern in agentic AI
24 - Multi-agent pattern in agentic AI

5. Enterprise Use Cases for Agentic AI

25 - AI agents in finance
26 - AI agents in customer care
27 - AI agents in insurance
28 - AI agents in human resources
29 - AI agents in project management

6. Implementing a Customer Service AI Agent

30 - A customer service AI agent
31 - Customer service AI agent design
32 - Setting up functions and indexes
33 - Setting up the customer service AI agent
34 - Using the customer service AI agent

7. Responsible AI Considerations for AI Agents

35 - Hallucinations in agentic AI
36 - Explainability in agentic AI
37 - Integrations in agentic AI
38 - Compliance in agentic AI

8. Conclusion

39 - Continuing on with agentic AI