Agentic AI for Developers: Concepts and Application for Enterprises

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Kumaran Ponnambalam

1:31:01

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01 - Introduction

01 - Building your own AI agent.mp4

00:32

02 - Course coverage and prerequisites.mp4

01:47

02 - 1. Introduction to Agentic AI

01 - Basic GenAI uses and limitations.mp4

02:34

02 - What is agentic AI.mp4

03:23

03 - An agentic AI example.mp4

01:54

04 - Benefits and challenges of agentic AI.mp4

02:26

05 - Technologies for agentic AI.mp4

01:13

03 - 2. An Agentic AI System

01 - Components of an agentic AI system.mp4

03:21

02 - Goals in agentic AI.mp4

02:42

03 - Planner in agentic AI.mp4

03:58

04 - Orchestrator and executor in agentic AI.mp4

04:53

05 - Tools in agentic AI.mp4

02:25

06 - GenAI models in agentic AI.mp4

02:14

07 - Memory in agentic AI.mp4

02:21

04 - 3. Your First Agentic AI Application

01 - A basic AI agent.mp4

01:59

02 - Router AI agent design.mp4

01:32

03 - Setting up the indexes for the router.mp4

02:46

04 - Setting up the agentic router.mp4

01:33

05 - Routing with agentic AI.mp4

01:22

05 - 4. Design Patterns for Agentic AI

01 - Reflection pattern in agentic AI.mp4

02:53

02 - Router pattern in agentic AI.mp4

02:12

03 - Tool use pattern in agentic AI.mp4

01:34

04 - Planning pattern in agentic AI.mp4

01:30

05 - Multi-agent pattern in agentic AI.mp4

03:59

06 - 5. Enterprise Use Cases for Agentic AI

01 - AI agents in finance.mp4

03:40

02 - AI agents in customer care.mp4

03:01

03 - AI agents in insurance.mp4

04:20

04 - AI agents in human resources.mp4

02:21

05 - AI agents in project management.mp4

03:31

07 - 6. Implementing a Customer Service AI Agent

01 - A customer service AI agent.mp4

01:32

02 - Customer service AI agent design.mp4

01:28

03 - Setting up functions and indexes.mp4

02:06

04 - Setting up the customer service AI agent.mp4

01:12

05 - Using the customer service AI agent.mp4

03:43

08 - 7. Responsible AI Considerations for AI Agents

01 - Hallucinations in agentic AI.mp4

01:54

02 - Explainability in agentic AI.mp4

01:16

03 - Integrations in agentic AI.mp4

01:41

04 - Compliance in agentic AI.mp4

01:25

09 - 8. Conclusion

01 - Continuing on with agentic AI.mp4

00:48

Description

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.

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Artificial Intelligence

Kumaran Ponnambalam

Instructor's Courses

A seasoned veteran in everything data, with a reputation for delivering high performance database and SaaS applications and currently specializing in leading Big Data Science and Engineering efforts

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.