LLM Application Engineering and Development Certification

About this course

This specialization offers a hands-on journey into building and deploying applications powered by Large Language Models (LLMs) and LangChain. Learn to design GenAI workflows using LangChain’s architecture—including chains, memory, agents, and prompts—and integrate advanced models like Flan-T5 XXL and Falcon-7B. Process unstructured data, implement embeddings, and enable semantic retrieval for intelligent applications. Fine-tune LLMs using techniques like PEFT and RLHF, and evaluate performance using benchmarks such as ROUGE, GLUE, and BIG-bench to ensure model reliability. By the end of this program, you will be able to: - Design LLM Workflows: Build scalable GenAI apps using LangChain with memory and agent modules - Process and Retrieve Data: Use loaders, vector stores, and embeddings for semantic search - Fine-Tune and Customize Models: Apply PEFT, RLHF, and dataset structuring for optimization - Evaluate and Scale Applications: Use standard benchmarks and deploy industry-grade LLM tools Ideal for developers, data scientists, and GenAI enthusiasts building advanced, real-world LLM applications.

Course objectives

• Build scalable GenAI applications
• Implement embeddings and semantic search
• Customize models for specific applications
• Evaluate and scale applications effectively