Udemy – Building Smarter Real-World Generative AI Systems 2024-9

Building Smarter Real-World Generative AI Systems course. This course is designed to give you the knowledge and skills to create your own productive AI application. Whether you’re a beginner or looking to deepen your understanding, we’ve structured this course to guide you step-by-step through fundamental concepts and practical applications. What you will learn in this course:

• Introduction to Generative Artificial Intelligence and Large Linguistic Models (LLM): Start your journey with a comprehensive overview of Generative Artificial Intelligence and Large Linguistic Models. Understand the fundamental principles behind these technologies and how they enable intelligent applications.
• Introduction to the Langchain Framework: Explore the components of the Langchain framework and learn how data flows through it. We’ll get you up and running by setting up your development environment with Python and Langchain.
• Using Langchain Tools: Learn how to use Langchain’s pre-built tools and how to create custom tools that fit your unique needs.
• Understanding Agents: We introduce the concept of agents, with a special focus on the REACT agent, and discuss its advantages and limitations.
• and…

What you will learn

• Exploring LangGraph and building agent-oriented programs
• Learning generative artificial intelligence using Langchain and LangGraph
• Exploring LangGraph and building agent-oriented programs
• Provide comprehensive training for LangChain

This course is suitable for people who

• Interested in developing GenAI applications using LangGraph

Building Smarter Real-World Generative AI Systems course specifications

• Publisher:  Udemy
• Instructor:  Learner’s Spot
• Training level: beginner to advanced
• Training duration: 1 hour and 48 minutes
• Number of courses: 50

Course topics on 2024/10

Building Smarter Real-World Generative AI Systems course prerequisites

Course images

Sample video of the course

download link

Download file – 557 MB

File(s) password: www.downloadly.ir

File size

557 MB