Elevate Your Skills with Llama 4: Prompt Engineering Defined

In a world dominated by Generative AI, staying competitive, creative, and efficient requires a deep understanding of the evolving technologies at play. This course is crafted for developers, researchers, educators, and AI enthusiasts who aim to conquer Meta’s Llama 4 model and refine their skills in prompt engineering and inference. By incorporating Llama 4 into your Generative AI workflow, you’ll be empowered to run open-weight models effectively using Google Colab, create high-quality outputs, and implement strategies that enhance accuracy, relevance, and style across various applications including writing, coding, and data analysis.

The course strikes a balance between theoretical frameworks and practical application, delivering content through easily digestible, bite-sized lessons. You’ll enjoy step-by-step guidance on everything from setup and prompting to output analysis, all while having lifetime access to updated materials that keep pace with model advancements. You will also explore actionable examples and receive guidance on how to engage with Generative AI models ethically and responsively, creating a robust foundation in IT fundamentals through hands-on experience.

What sets this course apart is its commitment to not just code reuse but understanding the underlying principles that govern the technology. Enroll now to deepen your understanding of Llama 4, strengthen your AI skills, and elevate your projects from concept to execution. Dive into the exciting world of Generative AI and take a substantial step in your professional growth today!

What you will 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

Course Content:

• Sections: 6
• Lectures: 20
• Duration: 1h 32m

Requirements:

• 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.

Who is it for?

• AI enthusiasts and tech learners
• Machine learning engineers and data scientists
• Developers building LLM-powered apps
• Educators creating AI-driven content.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

👉 Don’t miss this coupon! – Cupón 17OCTOBER2025