Unlock the potential of generative AI by learning to build and deploy valuable applications with Llama. Designed for developers, entrepreneurs, and technical professionals, this hands-on professional certificate equips you with the skills to create real-world AI solutions for customer service, education, and business operations. With Llama’s unique combination of openness, performance, and flexibility, by the end of this program, you’ll be ready to create AI assistants that are innovative, personable and practical.
You'll gain hands-on experience by building AI assistants from the ground up using both the API and local instances of Llama models. In this process, you'll develop expertise in prompting strategies and fine-tuning to refine interaction inputs and shape your assistants’ behavior and responses, making them more intelligent and accurate. You’ll also learn to use advanced techniques like long-context handling and Retrieval-Augmented Generation (RAG) to manage complex conversations, deliver context-aware responses and support multilingual interactions.
As you progress, you'll deploy these assistants on cloud platforms with an emphasis on scalability and efficiency, ensuring your solutions are production-ready and adhere to industry best practices in AI development.
Whether you’re upskilling for career growth or creating AI-driven business solutions, this program gives you the skills to lead in the fast-growing field of generative AI.
Applied Learning Project
Throughout the program, you’ll apply your new skills in hands-on projects. Each course ends with a practical project designed to bring your assistant ideas to life, including:
Creating a fully functional conversational assistant using Llama 4.
Enhancing your assistant’s capabilities by fine-tuning responses and integrating Retrieval-Augmented Generation (RAG) for smarter context.
Designing and delivering a production-ready assistant for a real-world use case, such as customer service help, educational tutoring or evaluating quality.
By the end of the program, you’ll have a portfolio of practical AI assistants that prove your ability to turn generative AI into business-ready solutions, including customer service assistants, study assistants, research QA chatbots and more.
