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    Building Intelligent AI Agents

    Posted By: IrGens
    Building Intelligent AI Agents

    Building Intelligent AI Agents
    ISBN: 9780135480892 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 31m | 563 MB
    Instructor: Bruce K. Hopkins

    Overview

    Bruce Hopkins demonstrates all the steps necessary to build multiple AI agents: the travel website agent, customer service agent, CSV data file access, and the smart home agent.

    AI Agents can unlock the next generation of experiences for AI-based applications for your customers, users, and employees. Learn about the types of problems that they help solve compared to traditional uses of ChatGPT and other Large Language Models, and gain the skill set to create your own.

    In this course, we discuss various capabilities of the current state-of-the-art AI models used by ChatGPT, which have advanced learning and reasoning capabilities. These models are able to solve complex problems and provide users with answers in natural language, but they can only answer based upon the information that they have been trained with.

    This course will show you how to properly create and leverage AI Agents using HTTP REST calls, which can be implemented in any language.

    Skill Level:

    Beginner/Intermediate

    Learn How To:

    • Create AI Agents with the ChatGPT APIs from scratch
    • Implement security best practices for prompts and responses
    • Build multiple AI agents: the travel website agent, customer service agent, CSV data file access, and the smart home agent


    Course requirements:

    • A basic understanding of programming in any major programming language is essential, such as how to interact with HTTP REST APIs and make HTTP calls
    • Experience with HTTP tools like Postman or cURL is a plus, but not mandatory
    • Some experience using ChatGPT or LLMs
    • Learners only need working experience with HTTP to start the process


    Who Should Take This Course:

    Job titles:

    • Software developers
    • Product managers
    • Software architects
    • Technical program managers
    • Chief engineers
    • Product engineers
    • CTOs


    Building Intelligent AI Agents