Udemy

Generative AI & LLMs: Foundations to Hands-on Development

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  • 1,904 Students
  • Updated 2/2025
4.1
(246 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 17 Minute(s)
Language
English
Taught by
Dr Mohammad Dabbagh
Rating
4.1
(246 Ratings)
4 views

Course Overview

Generative AI & LLMs: Foundations to Hands-on Development

Generative AI, Large Language Models(LLMs), Prompt Engineering, Fine-Tune AI Model,GPT models, Hugging Face,Google Colab

The rise of Generative AI has transformed the field of artificial intelligence, with Large Language Models (LLMs) leading the way in applications such as chatbots, text generation, and automated summarization. "Generative AI & LLMs: Foundations to Hands-on Development" is a hands-on, comprehensive course designed to equip learners with in-depth knowledge of LLMs, prompt engineering, and model fine-tuning. Through theoretical insights and practical labs, participants will gain expertise in developing AI-powered applications using Python and Hugging Face.

This course covers essential concepts, including the evolution of LLMs, attention mechanisms, ethical considerations, and best practices. It also delves into prompt engineering techniques and fine-tuning methodologies to customize models for specific tasks. With real-world projects and hands-on labs, learners will apply their knowledge by building AI chatbots, text summarizers, and fine-tuned models.

Whether you're a student, developer, researcher, or business professional, this course offers invaluable insights and actionable knowledge that will empower you to harness the transformative potential of LLMs. By the end of this course, you will be well-equipped to develop, optimize, and fine-tune Generative AI applications, making them valuable contributors in the AI-driven world.

Take the first step toward becoming a proficient AI practitioner and join the forefront of innovation in Language AI!

Course Content

  • 10 section(s)
  • 27 lecture(s)
  • Section 1 Introduction to Large Language Models (LLMs)
  • Section 2 Understanding Language AI
  • Section 3 Major Advancements and Technologies
  • Section 4 The Rise of Attention Mechanisms
  • Section 5 Categories of LLMs Representation and Generative Models
  • Section 6 Applications and Ethical Considerations
  • Section 7 Conclusion and Future Directions
  • Section 8 Hands-On Project 1 - Develop a Generative AI chatbot in Python
  • Section 9 Quiz 1
  • Section 10 Introduction to Mastering Prompt Engineering for Generative AI

What You’ll Learn

  • Understand Large Language Models (LLMs): Explore the evolution, architectures, and advancements in LLMs, including Transformers and self-attention mechanisms.
  • Master Prompt Engineering: Learn how to craft effective prompts to optimize AI-generated outputs and improve performance.
  • Fine-Tune AI Models: Develop expertise in fine-tuning LLMs using Python and Hugging Face to tailor models for specific applications.
  • Implement Ethical AI Practices: Gain awareness of the ethical and societal implications of AI, including bias and transparency.
  • Develop AI-Powered Applications: Build a chatbot, a text summarizer, and a fine-tuned model through hands-on projects.
  • Leverage AI Toolkits and Frameworks: Utilize industry-standard tools such as GPT-2, Hugging Face, and Python libraries to create Generative AI solutions.

Skills covered in this course


Reviews

  • P
    Parthiban B
    1.0

    Very theorical, slide based nothing big. Also for chatbot/hands on exercise, instructor pasted the screenshot of colab(10 liner code)

  • A
    Alexia Grimes
    5.0

    Timely topic & #AWESOME content !!!

  • A
    Amrita Bose
    2.5

    I expected a human instructor. Instead it is an AI robot talking. It is annoying.

  • H
    Hayford Osumanu
    5.0

    This is extremely great tutorial and practice hands on project. Love it.

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