Introduction to LLaMA

with Jaleed Khan, PhD
5/5
(2)

Explore the power of LLaMA in this hands-on course! Learn to generate text, fine-tune models, and build AI apps using Meta’s open-source LLM. Through practical exercises, you’ll master prompt engineering, ethical AI use, and deploy your own LLaMA-powered API.

2 hours of content 28 students
Start for Free

What you get:

  • 2 hours of content
  • 30 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Introduction to LLaMA

A course by Jaleed Khan, PhD
Start for Free

What you get:

  • 2 hours of content
  • 30 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

$99.00

Lifetime access

Buy now
Start for Free

What you get:

  • 2 hours of content
  • 30 Interactive exercises
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

What You Learn

  • Understand how LLMs and LLaMA work
  • Generate and structure AI-driven text outputs
  • Master prompt engineering for better responses
  • Fine-tune LLaMA for custom AI tasks
  • Control model behavior with decoding parameters
  • Build AI-powered chatbots and applications
  • Evaluate model performance and ethical considerations

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

Welcome to this hands-on course on building with Meta’s open-source LLaMA-3!

You'll dive into the world of Large Language Models (LLMs), starting with the fundamentals — how LLMs work, why they matter, and how LLaMA-3 stands out.

With step-by-step guidance, you’ll run LLaMA in Google Colab, generate and control text, craft effective prompts, build structured and creative outputs, and apply it to translation, summarization, and Q&A.

You’ll also evaluate model performance, address ethical challenges, fine-tune models using LoRA/QLoRA, and deploy your own real-time LLaMA-powered API.

Whether you're into building chatbots, smart assistants, or creative tools, this course equips you with practical skills to bring your AI ideas to life. Let’s get started and unlock the full potential of LLaMA-3!

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Welcome to the course!

1.1 Welcome to the course!

6 min

Course Introduction

1.2 Course Introduction

1 min

Course Resources

1.3 Course Resources

1 min

Introduction to LLaMA

1.4 Introduction to LLaMA

3 min

What You’ll Learn in Section 1

1.5 What You’ll Learn in Section 1

1 min

AI-Powered Text Generation & LLMs

1.6 AI-Powered Text Generation & LLMs

4 min

Curriculum

  • 1. Introduction to LLaMA
    13 Lessons 47 Min

    Get started with the world of LLMs by learning the core concepts behind LLaMA-3. You'll explore how these models are built, how they work, and set up your own LLaMA-3 model in Google Colab to generate your first AI-powered outputs.

    Welcome to the course!
    6 min
    Course Introduction Read now
    1 min
    Course Resources Read now
    1 min
    Introduction to LLaMA
    3 min
    What You’ll Learn in Section 1 Read now
    1 min
    AI-Powered Text Generation & LLMs
    4 min
    Transformers
    4 min
    Training LLMs & Ethical Considerations Read now
    6 min
    Evolution of LLaMA and Open Source AI
    4 min
    How LLaMA-3 Stands Out? Read now
    5 min
    Tokenization & How LLaMA Understands Text Read now
    7 min
    Getting Started with LLaMA-3 Read now
    4 min
    Section 1 Summary Read now
    1 min
  • 2. Deep Dive into LLaMA
    9 Lessons 42 Min

    Take your skills further by learning how to control, structure, and evaluate LLaMA’s outputs. From generating poems to summarizing articles and answering questions, you’ll master real-world applications and ethical AI use.

    Deep Dive into LLaMA
    3 min
    What You’ll Learn in Section 2 Read now
    1 min
    Generating Text & Controlling Outputs Read now
    7 min
    Structured & Creative Text Generation Read now
    7 min
    Translation & Summarization Read now
    5 min
    Question Answering & Retrieval Read now
    5 min
    Evaluating Model Performance Read now
    6 min
    Bias & Ethics Read now
    6 min
    Section 2 Summary Read now
    2 min
  • 3. The Art of Prompting and Fine-Tuning
    8 Lessons 34 Min

    Learn how to guide and customize LLaMA-3 using prompt engineering, fine-tuning, and API deployment. This is where you shape the model’s behavior and build your own powerful, task-specific LLM solutions.

    The Art of Prompting and Fine-Tuning
    3 min
    What You’ll Learn in Section 3 Read now
    1 min
    Prompt Engineering Read now
    6 min
    Prompting Strategies Read now
    5 min
    Fine-Tuning I Read now
    7 min
    Fine-Tuning II Read now
    5 min
    LLaMA-Powered API Read now
    6 min
    Section 3 Summary Read now
    1 min
  • 4. Conclusion
    3 Lessons 5 Min

    Wrap up your journey with a quick recap of the course, along with guidance for next steps. Reflect, review and get inspired to keep building, learning, and exploring the world of LLaMA and beyond.

    Conclusion
    2 min
    Course Summary Read now
    1 min
    Further Learning Read now
    2 min

Topics

Artificial IntelligenceLarge Language Model (LLM)LLaMALLaMA-3Prompt EngineeringLLM Fine-TuningLLM ApplicationsGenerative AiLLM-Powered APIAIMachine and Deep LearningIndustry SpecializationData Engineering

Tools & Technologies

python

Course Requirements

  • Basic Understanding of Python
  • Interest in Generative AI and LLMs

Who Should Take This Course?

Level of difficulty: Intermediate

  • Beginner to intermediate Python Programmers
  • AI & Data Professionals exploring LLMs
  • Students and graduates in Computer Science or related fields
  • Developers curious about Generative AI

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Jaleed Khan, PhD

Jaleed Khan, PhD

Senior Researcher at

3 Courses

2 Reviews

28 Students

I hold a PhD in Artificial Intelligence from the University of Galway, Ireland, where I developed state-of-the-art neurosymbolic and multimodal AI techniques for scene understanding and visual reasoning. My academic journey began with a BSc in Computer Systems Engineering, followed by an MSc in Signal and Image Processing, culminating in a distinguished research career marked by several open-source projects, book chapters, nearly 50 research articles, and over 2,000 citations. Currently, I am a Senior Research Scientist in AI and Data Analytics at Fujitsu Research, UK, where I develop behavioural decision-making models using machine learning and large language models for social digital twins to optimise policy decisions for businesses and organisations. Additionally, I serve as an Honorary Research Fellow at the University of Oxford, with a focus on the application of AI in healthcare. I have held academic positions as a lecturer and researcher at several universities. My teaching portfolio encompasses a diverse range of technical subjects, including AI, machine learning, data science, and software engineering, with a strong emphasis on engaging course design and mentorship. My industry experience includes roles as a Data Science Consultant and R&D Engineer, where I applied machine learning and data science to tackle real-world problems, from customer retention optimisation to driver safety systems. I have led cross-functional teams and managed research projects. I am actively involved in the research community as a peer reviewer for top-tier journals and conferences, a member of program committees, and a grant panellist. My career reflects a commitment to advancing and teaching AI and data technologies and delivering impactful solutions to complex business challenges.

What Our Learners Say

12.06.2025

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