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Building with Llama 4

V2_DeepLearning_Meta_Llama_4_Banner_2070x1080-01 - copia

Dear learner,

Meta’s new Llama 4 models (Maverick and Scout) introduced three big upgrades: multimodal reasoning with image grounding, million-token context windows, and a Mixture-of-Experts design that’s efficient to serve.

To make these capabilities practical, we partnered with Meta to bring you a new short course taught by Amit Sangani, Meta’s Director of Partner Engineering: Building with Llama 4.

Launch email GIFs (89)

In the course, you will learn to:

  • Call Meta’s official Llama API and choose the right model for a task
  • Build a 12-language translator chatbot
  • Detect objects, draw bounding boxes, and turn a UI screenshot into executable code
  • Ask questions over entire books, papers, or GitHub repos without chunking
  • Improve system prompts automatically with the Prompt Optimization Tool
  • Generate and curate training data using the Synthetic Data Kit

Whether you’re integrating an open model into production or validating a new idea, Llama 4 lets you prototype multimodal, million-token applications quickly—and this course shows you how.

We can’t wait to see what you build with Llama 4!

Lesson Video Code
Introduction video
Overview of Llama 4 video
Quickstart with Llama 4 and API video code
Image Grounding video code
Llama 4 Prompt Format video code
Long-Context Understanding video code
Prompt Optimization Tool video code
Synthetic Data kit video code
Conclusion video