Udemy

Foundation of AI GenAI and Prompt Engineering

立即報名
  • 31 名學生
  • 更新於 4/2025
  • 可獲發證書
4.9
(18 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
6 小時 4 分鐘
教學語言
英語
授課導師
Sandeep Soni
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.9
(18 個評分)
9次瀏覽

課程簡介

Foundation of AI GenAI and Prompt Engineering

Master the fundamentals of AI, Machine Learning, Neural Networks & Generative AI with hands-on LLMs.

Unlock the world of Artificial Intelligence with this beginner-friendly course that lays the foundation for AI, Machine Learning, and Prompt Engineering. Whether you're a student, a professional, or simply curious about the AI revolution, this course will equip you with essential knowledge and practical skills to thrive in the AI landscape.


The "Foundation of AI, Generative AI & Prompt Engineering" course is designed for beginners and AI enthusiasts who want to build a strong understanding of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI without requiring any prior coding or AI/ML knowledge. This course covers the fundamentals of AI, different types of Machine Learning (ML), Neural Networks, and the latest advancements in Generative AI, including Transformers and Large Language Models (LLMs). Participants will also learn about popular AI models from OpenAI, Microsoft, Google, and Meta. A key focus of the course is Prompt Engineering, equipping learners with techniques to interact effectively with AI models. By the end of the course, participants will gain practical insights and hands-on skills to leverage AI-powered tools and models in real-world applications.


What you’ll learn:

  • Introduction to the core concepts of AI & ML

  • Understand the algorithms behind Machine Learning models

  • Explore how Artificial Neural Networks mimic human thinking

  • Get a solid overview of Generative AI and its real-world impact

  • Discover popular LLMs like OpenAI GPT, Google Gemini, and more

  • Learn how to perform Function Calling using OpenAI APIs

By the end of the course, you’ll have a strong grasp of foundational AI concepts and hands-on experience with the tools that power modern AI applications.

課程章節

  • 6 個章節
  • 24 堂課
  • 第 1 章 Introduction to AI & ML
  • 第 2 章 Fundamentals of Machine Learning
  • 第 3 章 Fundamentals of Artificial Neural Networks
  • 第 4 章 Overview of Generative AI
  • 第 5 章 Popular LLM Models
  • 第 6 章 Funcation Calling with OpenAI

課程內容

  • Understand core concepts of Artificial Intelligence and Machine Learning, and differentiate between supervised, unsupervised, and reinforcement learning models.
  • Understand the architecture and functioning of Artificial Neural Networks and their role in AI development.
  • Describe the principles and applications of Generative AI and identify the strengths of popular LLMs such as GPT, Claude, and Gemini.
  • Implement prompt engineering techniques and function calling with OpenAI to build real-world AI-driven solutions.


評價

  • R
    Renuka K
    5.0

    Excellent

  • K
    KAKARLA AVULA RAJU
    5.0

    Good Course recommended for all the types of learners!

  • K
    Kunchala Anusha
    5.0

    Good

  • N
    Navyasri
    5.0

    Nice

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