Pluralsight - Introduction to Developing AI Agents

dkmdkm

U P L O A D E R
897213f66931920ace9b8fa16ee40b8d.webp

Free Download Pluralsight - Introduction to Developing AI Agents
Released 3/2025
By Muhammad Sajid
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 35m 59s | Size: 84 MB

This course will teach you how agentic applications, which leverage LLMs as reasoning engines, represent the next big breakthrough in AI. You'll also learn how to build useful agents using the Python programming language.
AI agents are set to become a key driver in the evolution of artificial intelligence in the near term.
AI agents are revolutionizing generative AI by leveraging LLMs as reasoning engines and using tools (function calls) to perform multistep tasks. In this course, Introduction to Developing AI Agents, you'll learn to create these AI agents. First, you'll explore the fundamentals of AI agents, including their architecture, types, and use cases. Next, you'll implement a basic AI agent framework in Python. Finally, you'll learn to develop advanced agents that leverage LLMs to reason, interact with its environment, and achieve goals. By the end of this course, you'll have the skills to build agentic AI Applications (with memory and tool-using capabilities) to automate workflows.
Homepage:
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
No Password - Links are Interchangeable
 
Kommentar

8ecd5fa2d8fea7b9381363a4cada941b.jpg

Introduction to Developing AI Agents
Released 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 35m 59s | Size: 84 MB​

This course will teach you how agentic applications, which leverage LLMs as reasoning engines, represent the next big breakthrough in AI. You'll also learn how to build useful agents using the Python programming language.

AI agents are set to become a key driver in the evolution of artificial intelligence in the near term.

AI agents are revolutionizing generative AI by leveraging LLMs as reasoning engines and using tools (function calls) to perform multistep tasks. In this course, Introduction to Developing AI Agents, you'll learn to create these AI agents. First, you'll explore the fundamentals of AI agents, including their architecture, types, and use cases. Next, you'll implement a basic AI agent framework in Python. Finally, you'll learn to develop advanced agents that leverage LLMs to reason, interact with its environment, and achieve goals. By the end of this course, you'll have the skills to build agentic AI Applications (with memory and tool-using capabilities) to automate workflows.

rm0IaZsa_o.jpg



AusFile
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
RapidGator
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
TurboBit
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

 
Kommentar

In der Börse ist nur das Erstellen von Download-Angeboten erlaubt! Ignorierst du das, wird dein Beitrag ohne Vorwarnung gelöscht. Ein Eintrag ist offline? Dann nutze bitte den Link  Offline melden . Möchtest du stattdessen etwas zu einem Download schreiben, dann nutze den Link  Kommentieren . Beide Links findest du immer unter jedem Eintrag/Download.

Data-Load.me | Data-Load.ing | Data-Load.to | Data-Load.in

Auf Data-Load.me findest du Links zu kostenlosen Downloads für Filme, Serien, Dokumentationen, Anime, Animation & Zeichentrick, Audio / Musik, Software und Dokumente / Ebooks / Zeitschriften. Wir sind deine Boerse für kostenlose Downloads!

Ist Data-Load legal?

Data-Load ist nicht illegal. Es werden keine zum Download angebotene Inhalte auf den Servern von Data-Load gespeichert.
Oben Unten