Republic Polytechnic-NVIDIA Advanced Large Language Models (LLMs) & Agentic Techniques

About course

Course description

Unlock the power of Large Language Models (LLMs) without the complexity and cost of traditional fine-tuning. This 2-day course delves into prompt engineering and parameter-efficient techniques using the NVIDIA Interference Microservices (NIM) and LangChain framework. Customize LLMs to your unique needs and streamline your LLM and Agentic application development. Explore the open-source ecosystem for rapid prototyping and deployment of innovative LLM and agentic-based solutions. Gain hands-on experience, immediately applicable knowledge, and earn a Nvidia Deep Learning Institute (DLI) Certificate of Competency to drive efficiency and innovation within your organization.

Course objectives

Learning Outcomes:
1. Master Prompt Engineering: Develop advanced prompt engineering skills to effectively guide Large Languang Models (LLMs) for specific tasks.
2. Understand how to apply iterative prompt engineering best practices to create Large Language Model (LLM)-based applications for various language-related tasks.
3. Be proficient in using LangChain to organize and compose Large Language Model workflows.
4. Write application code to harness Large Language Models generative tasks, document analysis, chatbot applications, and more.
5. Achieve NVIDIA Deep Learning Institute (DLI) Competency: Earn an NVIDIA DLI certificate demonstrating expertise in advanced Large Language Model techniques.

Certification

• Certificate of Attendance

• NVIDIA DLI Certificate of Competency - Building LLM Applications With Prompt Engineering