Elevate Your Skills with Llama 4: AI Prompt Engineering Guide

In an era defined by Generative AI, gaining a competitive edge involves more than just dabbling with tools; it calls for a nuanced grasp of the underlying models that are shaping our tomorrow. This comprehensive course is tailored for developers, researchers, educators, and AI enthusiasts eager to dive deep into Meta’s Llama 4 model while honing their skills in prompt engineering and inference. The course is structured to integrate Llama 4 seamlessly into your Generative AI projects, allowing you to run sophisticated open-weight models right in Google Colab, generate high-quality outputs, and apply effective prompt strategies that enhance accuracy and relevance in your outputs.

Each module is crafted with bite-sized lessons that present clear learning pathways. You’ll benefit from step-by-step guides on initial setup, prompting techniques, and output analysis as well as ongoing access to course updates, as new model versions and tools emerge. With actionable examples designed to illustrate responsible and effective use of Generative AI, this course also reinforces essential IT Fundamentals, ensuring you not only understand how to implement Llama 4 practically but also why these methods are effective.

What awaits you is not just a collection of coding exercises but a structured curriculum that empowers you to effectively utilize Llama 4 within various contexts—from content creation and business applications to evolving AI research. Whether you’re adjusting the tone of LLM responses or troubleshooting issues, you’ll develop the expertise to push the boundaries of what’s possible with Generative AI. Join us in exploring the landscape of Llama 4 and transform your AI skills 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 sections
• Lectures: 20 lectures
• Duration: 1h 32m

Requirements:

• Basic familiarity with Python (no advanced coding needed)
• A free Google account to use Google Colab

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 08DECEMBER2025