Building LLM Applications with Prompt Engineering: Course Overview and Details

In today’s fast-paced digital landscape, organizations are increasingly recognizing the potential of large language models (LLMs) to enhance their products and streamline operations. The integration of LLMs into various applications—from generating text to performing intricate document analyses and developing chatbot systems—has become a focal point for many businesses. To harness these powerful tools, companies are turning to modern prompt engineering techniques.

Course Overview: Building LLM Applications with Prompt Engineering

This workshop focuses on equipping participants with the skills necessary to effectively utilize LLMs, specifically leveraging NVIDIA’s NIM, which is powered by the open-source Llama-3.1 model. Participants will also work with the LangChain library, gaining hands-on experience in prompt engineering that is essential for building a variety of LLM-based applications.

Who Should Attend?

This course is designed for intermediate to advanced Python developers who possess a solid grasp of LLM fundamentals. If you’re looking to elevate your technical expertise in LLM application development, this workshop is ideal for you.

What You Will Learn

By the end of this workshop, participants will:

• Master iterative prompt engineering techniques to create applications for diverse language tasks.
• Become proficient in using LangChain to design and manage LLM workflows.
• Develop application code that leverages LLMs for generative tasks, document analysis, and chatbot functionalities.

Course Outline

Introduction to the Workshop

Kick off with a comprehensive overview of the workshop’s topics, schedule, and prerequisites. Understand the significance of prompt engineering in interacting with LLMs and explore the various applications that can be developed through these methods.

Hands-On Prompting

Become familiar with the workshop environment and dive into your first prompts using the OpenAI API and LangChain. You’ll learn how to stream LLM responses, manage prompts in batches, and embark on the iterative prompt development process. A mini project will allow you to analyze and generate outputs using a set of inputs.

Advanced Features of LangChain

Discover LangChain’s runnables and how to compose them efficiently into chains using the LangChain Expression Language (LCEL). You’ll have the opportunity to write custom functions, create larger application chains, and explore parallel execution techniques through mini projects.

Chatbot Development Techniques

Learn to implement human and AI message types for chat models, utilize few-shot prompting for instructive examples, and manage conversation history for chatbot applications. You’ll build a versatile chatbot that can assume various roles, enhancing your understanding of LLM capabilities.

Generating Structured Outputs

Explore methods for generating structured data using LLMs, including techniques for data extraction and document tagging from unstructured text. A hands-on project will solidify these concepts through practical application.

Integrating External Tools

Develop tools that extend LLM functionalities, creating agents capable of utilizing external APIs for real-time data integration. This session will culminate with a mini project that showcases your ability to create an LLM agent.

Final Review and Certification

Conclude the workshop with a review of key learnings, address any remaining questions, and earn a certificate of competency. Participants will also receive personalized recommendations for their next steps in exploring LLM technologies.

Training Details

Course Duration and Pricing

The workshop is structured as a one-day intensive session, priced at $500. Participants can choose between online and classroom training formats.

Upcoming Sessions

While there are currently no scheduled online training dates, interested individuals can request a date for future sessions. For those opting for classroom training, schedules will be available upon inquiry.

For more information on how to enroll or to request a specific training date, please reach out directly.