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LifestyleGenerative AI & LLMs: Foundations to Hands-on Development (Udemy.com)
Generative AI, Large Language Models(LLMs), Prompt Engineering, Fine-Tune AI Model,GPT models, Hugging Face,Google Colab
Created by: Dr Mohammad Dabbagh
Last updated February 2025
What you will 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.
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.4 out of 5higher than 28% of them
- Reviews579#215 of 462 by number of reviews
- Length2.3 hoursshorter than 87% of them
- Last updatedFebruary 2025earlier than 62% of them
Course Description
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!
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Instructor Details
- 4.4 Rating
579 Reviews
Dr Mohammad Dabbagh
I have spent the past twelve years working in academia, holding various teaching, research, and leadership roles at universities in Australia, the UK, and Malaysia. During this time, I have supported over 1,000 students in completing their Bachelor's and Master's degrees. With a PhD in Computer Science, I currently serve as a Senior Lecturer in the School of IT & Engineering at MIT Sydney. Prior to this, I spent six years as a Senior Lecturer and Program Leader at Sunway University in Malaysia, where I managed the dual-degree Bachelor of Software Engineering program in collaboration with Lancaster University, UK. Additionally, I have been recognized as a Senior Member of IEEE since 2021.
My research interests encompass a wide range of topics including AI, Data Science, Blockchain, and Empirical Software Engineering. My research has been featured in prestigious high-impact journals such as Future Generation Computer Systems, IEEE Transactions on Reliability, Computers & Security, IEEE Access, Soft Computing, Transactions on Emerging Telecommunications Technologies, and Wireless Networks.
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Reviews
By Srishti Sagar on 4/8/2026
Why is the audio system generated?? Having a human trainer is far more interactive than having to listen to system generated audio and video files
By Carlos Silva on 5/30/2025
I took this course looking for a solid foundation in Generative AI, and while it delivers great content on LLM-based systems, it's important to be clear about what it doesn’t cover.
By Robin Threlkeld on 5/5/2025
Focusing on some important parts and providing functional code to use it is great. Also the technical explanations are not too long and not too short. Great Job!
By Chris Woolsey on 5/5/2025
A very enriching course! I'm working in the field, and I can confirm it is very complete. The different projects are similar to real-world problems that need to be solved.
By Jerry ONeal on 5/2/2025
Terrible. Not instructor-led. Just fluff that could have been a website. It's almost as if AI was used to generate an AI training video.
By Anderson Johnson on 4/27/2025
My experience taking this course was a great one. Great contents, concepts well-explained, engaging teaching style, and top-tier skills to apply to more advanced projects.
By Md Sa Shohag on 4/27/2025
It was good and delivers on what is promises. The instructor goes through 4 projects which give good hands on experience for beginners and sets the stage to explore further.
By Sunk Jung on 4/27/2025
The instructor is enthusiastic, creative, and easy to understand. The lessons are engaging, relatable, and dense with excellent resources to practice the content for yourself.
By Maria Gomes on 4/27/2025
Thank you, thank you, thank you for developing an exceptional course that covered an amazing amount of information regarding AI, LLMs, and of course Gradio (had to throw that one in).
By Oshion LloydImperial Dixon on 4/27/2025
This the best course I've taken on Udemy so far. It's timely, thorough, and entertaining while providing meaningful introductions to a great number of tools and conventions used in the field.
Quality Score
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Overall Score : 88 / 100
- Video Duration:
2.3h - Price: $10.99
- Provider: Udemy
- Updated:
February 2025 - Level:
All Levels - Language:
English - Certificate:
Yes
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