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Agentic RAG

Name: Agentic RAG
Price: 59 USD
Rating: 4.68 (32 reviews)
Author: Educative

Learn to build intelligent, self-reflective retrieval agents with LlamaIndex while mastering reasoning-driven RAG, evaluation methods, and the deployment of scalable agentic systems.

4.7

13 lessons

2 breakout sessions

Created by Educative

What's included

13 lessons across 5 modules
4 quizzes with instant feedback
2 breakout sessions with a virtual coach
AI Tutor on every lesson

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What You'll Learn

The ability to design reasoning-driven RAG systems that plan, reflect, and refine autonomously
An understanding of how to build and orchestrate multi-tool agents using LlamaIndex
The ability to debug, evaluate, and optimize retrieval workflows with structured metrics

Learning Roadmap

13 Lessons4 Quizzes

Foundations of Agentic RAG

Explore the evolution of RAG into agentic systems for enhanced problem-solving.

From RAG to Agentic RAG

The Anatomy of an Agent: Components and Core Logic

Agentic Reasoning Strategies: From ReAct to Multi-Agent Systems

The Context Distiller

Breakout Session

Implementation with LlamaIndex

Explore the development of a dynamic agentic RAG system for AI research assistance.

Basic RAG vs. Agentic RAG Implementation with LlamaIndex

Designing Our Agentic RAG System: The AI Research Assistant

The AI Research Assistant: Implementing the Agent’s Core Tools

The AI Research Assistant: Agent Assembly and Orchestration

The Tool Whisperer

Breakout Session

Refining and Evaluating Agents

2 Lessons

Enhance AI agents’ reliability and evaluate performance through advanced metrics and techniques.

Advanced Concepts and Deployment

3 Lessons

Explore scalable architectures, deployment challenges, and future trends in agentic AI.

Assessment

Apply knowledge through practical exercises in AI design and coding.

Test Your Skills

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Anthony Walker

@_webarchitect_

Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!

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ML Engineer

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Front-end Developer

Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content.

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