Prompt Engineering with Llama 2&3

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.

Prompt Engineering with Llama 2&3 is a non-degree program for students who want to learn about prompt engineering and building applications with powerful models. This program is offered by DeepLearning.AI in California, United States, and is taught in English. The program helps students learn best practices for prompting and selecting among models.

The curriculum covers advanced prompt engineering techniques like few-shot prompting and chain-of-thought prompting. Students will also learn to use Code Llama as a pair programming partner to write and improve code. The program includes hands-on components where students can experiment with Llama 2 and Llama 3 models and explore the differences in output between models for various tasks.

After completing this program, students can pursue careers as AI Engineers, Data Scientists, Machine Learning Engineers, Natural Language Processing Specialists, or Software Developers. They can work with companies that develop and use LLMs, or join a community of open source developers building applications powered by Llama 2 and Llama 3.