Build Your First Product with LLMs, Prompting, RAG

This practical intensive course will provide you with all the necessary skills to create a fully functional advanced product based on large language models (LLM) - from choosing an idea to deploying it in production.

What you will get:

• A real "turnkey" project. At every stage (from concept to deployment), you will work on your own LLM product: gathering data, building a Retrieval-Augmented Generation (RAG) pipeline, designing the user interface, and deploying the service using OpenAI, LlamaIndex, and Gradio.
• Portfolio and MVP. The final project will not just be a study assignment but a full-fledged portfolio element or a minimal viable product for your startup or company.
• Career as an LLM Developer. The role of an LLM developer is one of the most in-demand and emerging in the industry. You will gain a competitive advantage in the job market and confidently pass technical interviews.
• Deep understanding of the ecosystem. You will learn not only technical techniques (prompt engineering, fine-tuning, complex RAG channels) but also the economics of GenAI, niche selection, and monetization strategy.
• Scaling skills. Discover how to adapt LLM solutions to corporate requirements: ensuring reliability, accuracy, and security as user numbers grow.

Who it's for:

• Developers, ML engineers, and data scientists looking to quickly master the profession of LLM Developer
• Computer science and AI students preparing for a career leap
• Senior engineers planning to implement GenAI solutions in their company or launch their own startup

What you need to know beforehand:

• Confident in Python (intermediate or higher)
• Basic knowledge of Git and GitHub
• Willingness to dedicate at least 50 hours of practice to the course

In over 50 hours of live sessions and practice, you will become a professional capable of creating, deploying, and scaling complex GenAI products. Join and become one of the leading LLM developers!