- 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
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.