Introducing Multimodal Llama 3.2

DeepLearning.AI is a specialist online education platform founded in 2017 that focuses on practical, industry-relevant training in artificial intelligence and machine learning. Designed for learners at multiple levels, its courses emphasize hands-on projects, clear conceptual foundations and tools commonly used in industry. The platform’s flexible online format makes it accessible to professionals and students worldwide who want to build skills without relocating.

Courses and specializations are structured to help learners develop applied portfolios, with real-world assignments, code notebooks and community review. Collaboration with leading practitioners ensures content remains current with industry practice, and certificate programs help demonstrate competencies to employers. The platform also supports career transitions, offering guidance on interviewing for technical roles and connecting learners with opportunities to showcase their work.

For international learners seeking concentrated, practice-oriented AI education, DeepLearning.AI provides a clear route to upskill quickly and build demonstrable expertise. Its global learner community, modular course design and emphasis on project-based learning make it a pragmatic choice for those aiming to enter research, product or engineering roles in the AI ecosystem.

This non-degree program from DeepLearning.AI is for students who want to learn about the latest Llama models. It's a short course that lasts a few weeks and is taught in English.

The curriculum covers topics like multimodal prompting, advanced image reasoning, and custom tool calling. You'll learn how to work with the Llama Stack API and use the tiktoken tokenizer. The course also covers how to prompt Llama to call built-in and custom tools, and how to use the Llama Stack API to customize Llama models.

After completing this program, you can pursue careers like AI Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, or Software Developer. You'll be able to work with companies that use AI and machine learning, such as Meta or other tech firms.