Llama 4: AI Mastering Prompt Engineering

Build, optimize, and deploy Llama 4 with prompt engineering techniques using Google Colab and Hugging Face

What you'll learn
- How Llama 4 works under the hood: architecture, tokenization, and attention
- How to set up a working Llama 4 environment using Google Colab and Hugging Face
- How to write powerful prompts—from zero-shot to few-shot examples
- Techniques to control tone, style, and response length in AI outputs
- How to troubleshoot prompt errors, repetition, and hallucinations
- How to compare Llama 4 with GPT-4, Claude, and other leading LLMs
- How to stay up to date with evolving LLM tools, communities, and research sources

Requirements
- For this course you need Basic familiarity with Python (no advanced coding needed)
- A free Google account to use Google Colab
- No prior experience with Hugging Face or Llama 4 required—everything is taught step-by-step

Description
In today’s Generative AI-driven world, staying competitive, creative, and efficient requires more than surface-level tools—it demands a deep understanding of the models shaping our future. This course is built for developers, researchers, educators, and AI enthusiasts who want to master Meta’sLlama 4model and gain real skills in prompt engineering and inference.

By integratingLlama 4into your Generative AI workflow, you’ll unlock the ability to run open-weight models in Google Colab, generate high-quality outputs, and apply prompt strategies that maximize accuracy, relevance, and tone—whether you're writing, coding, or analyzing.

This course is designed for both theory and real-world application, delivering value through:

Bite-sized lessons optimized for clear learning

Step-by-step walkthroughs of setup, prompting, and output analysis

Lifetime access with updates for model versions and tooling

Actionable examples and guidance for using Generative AI models responsibly and effectively

A foundation in IT Fundamentals to support hands-on implementation and understanding

What You’ll Learn in This Course:

Set up and runLlama 4using Hugging Face and Google Colab

Understand how tokenization, attention, and model architecture shape Generative AI outputs

Write effective zero-shot and few-shot prompts across use cases

Control tone, style, and length of LLM responses with precision

Troubleshoot misleading or failed outputs with prompt refinement

CompareLlama 4with other Generative AI models like GPT-4, Claude, and Mistral

Apply ethical practices to avoid bias and manage hallucinations

Use temperature, top-k, and top-p to guide creativity and accuracy

Stay current with new model research, tools, and communities

Strengthen your command of IT Fundamentals through practical, AI-related examples

Who This Course Is For:

Developers and engineers working with open-source LLMs

AI enthusiasts, students, and researchers building foundational knowledge

Marketers and content creators who want smarter control over outputs

Business professionals exploring practical AI integration

Anyone interested in understanding Generative AI models and reinforcing their IT Fundamentals

What’s Included:

Colab-ready templates with reusable Python code

Real-world examples: summarization, content generation, coding

Prompt templates for marketing, education, and product use cases

Side-by-side comparisons ofLlama 4and proprietary LLMs

Certificate of completion to showcase your LLM expertise

Get Started Now!

MasteringLlama 4isn’t just about copying code—it’s about understanding why it works and how to use it responsibly. This course gives you the theoretical foundation, technical tools, and hands-on practice to work withLlama 4effectively and ethically.

Enroll today to sharpen your Generative AI skills, reinforce your IT Fundamentals, build smarter language model applications, and take your LLM projects from idea to execution.

Let’s learn more aboutLlama 4—join the course now!

Who this course is for:
- AI enthusiasts and tech learners
- Machine learning engineers and data scientists
- Developers building LLM-powered apps
- Educators creating AI-driven content
More Info