Udemy - Building AI Agents - Core Component - Intelligent Architecture

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size342.4 MB
  • Uploaded Byfreecoursewb
  • Downloads142
  • Last checkedSep. 30th '25
  • Date uploadedSep. 26th '25
  • Seeders 6
  • Leechers3

Infohash : ED9B1EA830D3FA8E2FB9A3C36909031CAC55677D

Building AI Agents: Core Component/ Intelligent Architecture

https://WebToolTip.com

Published 9/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 49m | Size: 342 MB

Core Components and Intelligent Architectures

What you'll learn
Understand the core components of AI agents and their architectures.
Build agents with sensors, effectors, memory, and decision-making engines.
Use tools and frameworks like LangChain, CrewAI, and AutoGen to create agents.
Design, test, and deploy a personalized AI agent as a final project.

Requirements
No prerequisites required — just curiosity and interest in AI. Basic programming knowledge is helpful but not mandatory.

Files:

[ WebToolTip.com ] Udemy - Building AI Agents - Core Component - Intelligent Architecture
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - Download Course Materials.html (0.0 KB)
    • 1 -Building AI Agents.pdf (4.4 MB)
    • 1 -What are AI agents.mp4 (15.2 MB)
    • 2 -Real-World Applications of AI Agents.mp4 (15.7 MB)
    • 3 -Overview of agent architecture and what learners will build.mp4 (14.8 MB)
    2 - Core Concepts of AI Agents
    • 1 -Definition and types of agents.mp4 (14.6 MB)
    • 2 -Agent lifecycle and core design principles.mp4 (18.7 MB)
    • 3 -Foundational elements.mp4 (11.8 MB)
    3 - Sensors – Perception Layer
    • 1 -Types of sensors.mp4 (16.2 MB)
    • 2 -Preprocessing and interpreting sensor data.mp4 (15.3 MB)
    • 3 -Simulated vs Real-Time Perception.mp4 (11.8 MB)
    4 - Effectors – Action Layer
    • 1 -What are effectors and how do agents take actions.mp4 (11.6 MB)
    • 2 -Digital Effectors – Acting in Software Environments.mp4 (12.9 MB)
    • 3 -Feedback mechanisms.mp4 (11.7 MB)
    5 - The Decision-Making Engine
    • 1 -Rule-based vs ML-based decision logic.mp4 (12.1 MB)
    • 2 -Incorporating LLMs for reasoning and planning.mp4 (12.1 MB)
    • 3 -Multi-step decision chains and memory use.mp4 (14.3 MB)
    6 - The Knowledge Base
    • 1 -Structuring agent memory (short-term vs long-term).mp4 (10.0 MB)
    • 2 -Using vector stores, databases, and context caching.mp4 (12.7 MB)
    • 3 -Dynamic Knowledge Updates & Queries.mp4 (13.4 MB)
    7 - Communication Interface
    • 1 -How Agents Communicate.mp4 (13.2 MB)
    • 2 -Communication Channels for Agents.mp4 (16.2 MB)
    • 3 -Contextual Conversation Management.mp4 (12.8 MB)
    8 - Putting It All Together
    • 1 -Architecting Modular, Extensible AI Agents.mp4 (18.5 MB)
    • 2 -Tools & Frameworks for Building Agents.mp4 (18.3 MB)
    • 3 -Error Handling & Safety Layers in Agents.mp4 (14.0 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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