Llama 4: AI Mastering Prompt Engineering

About this course

This course contains the use of artificial intelligence.

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 effectivelyA 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<

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