Coursera – LLM Application Engineering and Development Certification Specialization 2025-7

Coursera – LLM Application Engineering and Development Certification Specialization 2025-7 Downloadly IRSpace

Coursera – LLM Application Engineering and Development Certification Specialization 2025-7
Coursera – LLM Application Engineering and Development Certification Specialization 2025-7

LLM Application Engineering and Development Certification Specialization, 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. In this project, you’ll create a summarization tool that downloads a research paper from Arxiv, extracts its content, and generates a summary using LangChain. Starting with essential library imports, you’ll download the paper PDF, extract the full text, and count the tokens to ensure compatibility with language models. Finally, you’ll use LangChain to produce a concise and coherent summary. This project builds practical skills in PDF handling, text extraction, token analysis, and applying language models and ideal for learners interested in automating research workflows or summarizing academic content efficiently.

What you’ll learn

  • Build GenAI workflows using LangChain, chains, agents, memory, and LLMs like Flan-T5 and Falcon-7B

  • Fine-tune LLMs with PEFT, RLHF, and hyperparameter tuning for real-world GenAI applications

  • Process unstructured data using loaders, text splitters, embeddings, and semantic search tools

  • Evaluate model output using benchmarks like ROUGE, GLUE, and BIG-bench for reliable performance

Who this course is for

  • This certification is ideal for developers, data scientists, and AI enthusiasts interested in building real-world GenAI applications with LLMs and LangChain.

Specificatoin of LLM Application Engineering and Development Certification Specialization

  • Publisher : Coursera
  • Teacher : Priyanka Mehta
  • Language : English
  • Level : Beginner
  • Number of Course : 4
  • Duration : 1 month at 10 hours a week

Content of LLM Application Engineering and Development Certification Specialization

LLM Application Engineering and Development Certification Specialization

Requirements

  • No prerequisites required

Pictures

LLM Application Engineering and Development Certification Specialization

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720p

Download Links

Course 1 – LangChain and Workflow Design Course

Download – 561 MB

Course 2 – LangChain Course for LLM Application Development

Download – 956 MB

Course 3 – LLM Fine-Tuning and Customization Training

Download – 652 MB

Course 4 – LLM Benchmarking and Evaluation Training

Download – 605 MB

File size

2.7 GB