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’s Llama 4 model and gain real skills in prompt engineering and inference.

By integrating Llama 4 into 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

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 run Llama 4 using 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

• Compare Llama 4 with 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

Set up and run Llama 4 using 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

Compare Llama 4 with 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

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 of Llama 4 and proprietary LLMs

• Certificate of completion to showcase your LLM expertise

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 of Llama 4 and proprietary LLMs

Certificate of completion to showcase your LLM expertise

Get Started Now!

Mastering Llama 4 isn’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 with Llama 4 effectively 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 about Llama 4—join the course now!