Enamul K. B.
After 365:
Accounting Manager | JFE Engineering Corporation
See all reviews
Online Course
new
Introduction to LLaMA
with
Jaleed Khan, PhD
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.
257 students already have enrolled
Skill level:
Intermediate
Duration:
2 hours
-
Lessons (2 hours)
-
Practice exams (10 minutes)
- Lessons (2 hours)
- Practice exams (10 minutes)
CPE credits:
4
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited:
certificate
What You Learn
- Understand how LLMs and the LLaMA model work.
- Generate and structure AI-driven text outputs.
- Fine-tune LLaMA for custom AI tasks and applications.
- Control model behavior using decoding parameters.
- Build AI-powered chatbots and applications.
Topics & tools
artificial intelligencelarge language model (llm)llamaprompt engineeringllm fine-tuningllm applicationsgenerative aillm-powered apillama 3llama 4aimachine and deep learningindustry specializationdata engineeringpython
Your instructor
Senior Research Scientist | Honorary Research Fellow at University of Oxford | Mentor
Track record
Bringing real-world expertise from leading global companies
Academic background
Doctorate (PhD), Artificial Intelligence
Media and recognition
- Invited Speaker, Knowledge Graph Conference (Cornell Tech, US, 2023)
- Lead author on 21 papers in top AI journals & conferences.
- 2,100+ academic citations for research on neurosymbolic and multimodal AI
Course OVERVIEW
Description
CPE Credits: 4
Field of Study: Information Technology
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
Welcome to this hands-on course on building with Meta’s open-source LLaMA!
You'll dive into the world of Large Language Models (LLMs), starting with the fundamentals — how LLMs work, why they matter, and the latest versions of LLaMA stand out.
With step-by-step guidance, you’ll run a lightweight version of 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!
Prerequisites
- Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook)
- Intermediate Python skills are required.
- Familiarity with large language models (LLMs) or Hugging Face tools is helpful but not mandatory.
Advanced preparation
Curriculum
34 lessons
30 exercises
2 exams
- 2. Deep Dive into LLaMA42 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.
- 3. The Art of Prompting and Fine-Tuning34 Min
Learn how to guide and customize LLaMA 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.
- 4. Conclusion8 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.
- 5. Course exam30 Min
Free preview
1.1 Welcome to the course!
6 min
1.2 Course Introduction
1 min
1.3 Course Resources
1 min
1.4 Introduction to LLaMA
3 min
1.5 What You’ll Learn in Section 1
1 min
1.6 AI-Powered Text Generation & LLMs
4 min
94%
of AI and data science graduates
successfully change
or advance their careers.
9 in 10
people walk away career-ready
with practical data and AI skills.
9 in 10
of our graduates landed a new AI & data job
after enrollment
ACCREDITED certificates
Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global
institutions.
Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities
employers value most.
Certificates are included with the Self-Study learning plan.
How it WORKS
Student REVIEWS
