Overview
By the end of this course, students will be able to:, Understand how Large Language Models (LLMs) work at a practical, conceptual level — including how modern generative AI systems process and generate language, Explain the differences between AI, machine learning, deep learning, and generative AI, and where LLMs fit into the broader artificial intelligence landscape, Confidently use and compare popular LLM tools such as ChatGPT, Gemini, Claude, and Copilot, knowing their strengths, limitations, and best use cases, Apply prompt engineering basics to get clearer, more useful, and more reliable outputs from LLMs, Identify real-world LLM use cases for writing, research, summarisation, planning, documentation, and code assistance, Understand the risks and responsibilities of using AI, including bias, accuracy, privacy, and the importance of human oversight
This course is designed for anyone who wants a clear, practical introduction to Large Language Models and generative AI, including:, Beginners and non-technical learners who want to understand AI without being overwhelmed, Professionals and knowledge workers using ChatGPT, Gemini, Claude, or Copilot at work, Developers and aspiring AI engineers who want strong LLM fundamentals before going deeper, Data scientists and analysts looking to expand into generative AI and NLP concepts, Product managers, founders, and entrepreneurs exploring how AI can be used in real products and workflows, Students and tech enthusiasts curious about how modern AI systems actually work, This course is not focused on building models from scratch. Instead, it helps you understand, use, and evaluate today’s best LLMs with confidence and clarity.
If you can use a computer and are curious about how tools like ChatGPT and generative AI work, you’re ready to start., No prior experience with AI, machine learning, or data science is required, No programming or coding knowledge is needed, No advanced mathematics or technical background is expected, This course is designed as an AI for everyone introduction.
This course contains the use of artificial intelligence.
Master AI today: Start by learning the fundamentals that make all AI tools work. Large Language Models (LLMs)!
Do you want to understand Large Language Models (LLMs) and how they power today’s most popular AI tools like ChatGPT, Gemini, Claude, and Copilot?
Are you ready to explore artificial intelligence in a clear, practical way—whether you’re new to AI or looking to build strong AI engineering fundamentals?
AI LLM Fundamentals is an AI for everyone course designed to help you confidently understand how modern generative AI works and how it’s used in real-world applications.
This course is your practical introduction to Large Language Models, the technology behind today’s best LLM platforms used across data science, software development, research, and business.
Why Learn Large Language Models and Generative AI?
Large Language Models are at the core of modern artificial intelligence. Tools like ChatGPT, Gemini, Claude, and Copilot are transforming how we write, research, code, and plan work.
Understanding LLMs helps you:
Communicate better with AI using prompt engineering
Choose the right LLM for the job
Work more efficiently with AI-powered tools
Build strong foundations for AI engineering and data science
Confidently participate in AI-driven projects at work
You don’t need to become an AI engineer to benefit—this course focuses on practical understanding, not heavy maths or theory.
Course Curriculum at a Glance
This course covers LLM fundamentals using real, widely-used AI tools:
Introduction to Large Language Models
What LLMs are, how they work, and why they matter in modern AIAI Foundations
Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI—explained simplyHow LLMs Work
High-level neural networks, transformers, and natural language processing (NLP)Prompt Engineering Basics
How to talk to AI effectively and get better results from LLMsChatGPT and GPT Models
What GPT means, how ChatGPT works, and where it shinesLLM Platforms Compared
ChatGPT, Gemini, Claude, Copilot, and Perplexity—strengths, weaknesses, and when to use eachReal-World LLM Use Cases
Writing, research, summarisation, documentation, code assistance, and AI workflowsEthics and Responsible AI
Bias, accuracy, privacy, and why human judgment still matters
What You’ll Gain from This Course
By the end of this course, you will:
Understand how Large Language Models actually work
Know the difference between traditional AI and generative AI
Use prompt engineering to get better outputs from AI tools
Confidently choose the best LLM for different tasks
Apply LLMs responsibly in work and everyday scenarios
Build a strong foundation for future learning in AI engineering, gen AI, or data science
This course focuses on clarity, confidence, and real-world relevance—not hype.
Who This Course Is For
Beginners looking for AI for everyone, explained clearly
Professionals who use ChatGPT, Gemini, Claude, or Copilot at work
Developers and aspiring AI engineers who want strong fundamentals
Data scientists expanding into generative AI and NLP
Product managers, founders, and entrepreneurs working with AI tools
Students and tech enthusiasts exploring the complete generative AI landscape
No prior AI or machine learning experience is required.
Take the Next Step in Your AI Journey
If you want a clear, practical introduction to Large Language Models, generative AI, and today’s most important AI tools, this course is for you.
Enroll now and build the foundations you need to confidently work with AI—today and in the future.
Paul Ashun
What do students say?
"I liked the course. It was quick and easy to understand, but also complete. Thank you."
"Thanks Paul Enjoyed the course and the presentation of the material. I passed the PSM-1 exam on the first try -- 97%"
"Excellent Material Thanks for the clear cut training material."
I am grateful to have received this feedback from a fan because it explains exactly the value I hope to give you in my Udemy courses
► Enrol in one of my courses today to save hundreds of hours learning the hard way and thousands of dollars on training courses like I did ◄
What qualifies me to share my experience with you ?
1. I can help I am a Scrum expert, Software Engineering Team Lead and have lead projects as a software engineer, tech lead, team lead, scrum master, programme manager and portfolio manager. I have coached Product Owners and Business Analysts. Chances are that I understand your issues and how to solve them. I really want to help!
2. Experience - I have lead projects for small and large international companies such as the BBC, General Electric, Oracle, BSkyB, HiT Entertainment and Razorfish. These roles have all involved leadership on a wealth of mobile, internet TV and web software projects.
3. Author - I have written over 10 books on the subject of scrum and agile such as Scrum Mega Pack, The Power of Scrum in the Real World, and Confessions of a Scrum Master to name but a few. Also the upcoming User Story book. My teachings in the form of books have been published to the popular infoq website among other places.
4. Students and Improvement - I have a huge number of students around the world. The feedback they give me is excellent and I regularly make an effort to improve whenever I get suggestions.
Who is the Instructor?
Paul is the CEO/Managing Director and Chief Consultant at Pashun Consulting Ltd, author of Scrum Mega Pack and a Certified Scrum Master, Project Manager and Agile Coach with experience in international blue chip companies dating back to 1999. That experience includes leading projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment (responsible for Angelina Ballerina, Bob the builder and other titles that you love watching with your kids or siblings but won't admit to) and Razorfish. These roles have all involved leadership on a wealth of mobile, internet TV and web software projects.
Includes Narration from Ted R. Brown
Who are Pashun Consulting?
Pashun Consulting is a specialist in Scrum coaching and leadership within major global organisations. We are authors of over 10 books on the subject of scrum such as Scrum Mega Pack, The Power of Scrum in the Real World, and Confessions of a Scrum Master to name but a few (as well as the upcoming Agile User Story book). Our teachings in the form of books have been published to the popular infoq website among other places and we are responsible for the popular free scrum ebook. What is the instructor's background? Paul's journey began before agile and scrum methods were widespread in the industry and this gave him the benefit of leading and working on projects using non-agile methodologies such as PRINCE 2 and waterfall. He began as a software developer at the BBC and over 10 years later his consulting experience took him to be an Agile Portfolio Manager. For this reason, we have seen both sides of the story and can give good reasons why we ended up on the scrum side of it. Having used both agile and non-agile variants, we can honestly say that the scrum framework, when fully understood and used as its creators intended, has been the most successful framework for delivering a quality product. At the same time it gives ambitious businesses the flexibility to change requirements as needed in this modern world.
What are the instructors core Skills?
Certified Scrum Master (10+ years running Web, Mobile and Internet TV projects )
Portfolio/PMO Manager (co-ordinating agile teams, managing budgets, and continuous improvement for agile teams)
Software Developer (10 years+ Experience developing web, Interactive TV and Mobile apps)
Coaching Product Owners and Business Analysts in agile and scrum practices such as User Stories writing
How can I help?
➲ How can I best help you to have agile scrum success? Try one of my courses today to find out or learn more about what I have online!