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Building LLM Powered Applications - Create Intelligent Apps

Learn to build smart AI apps with Python, LangChain & LLMs. Master prompt engineering for practical, hands-on development.

3.9(69)
14,435students
7h 5m
Certificate
OCSALY Academy | 550.000+ Students
OCSALY Academy | 550.000+ StudentsJoin 550,000+ happy students from 165 countries and beyond !

Course Content

Building LLM Powered Applications - Create Intelligent Apps is an all-levels Udemy course taught by OCSALY Academy | 550.000+ Students. It runs 7h 5m, is taught in English, and includes a certificate of completion. Learners rate it 3.9 out of 5 from 69 reviews, with 14,435 students enrolled. It is a paid course, last updated August 2025.

Ready to unlock the power of AI development? This comprehensive course dives into building real-world applications using Large Language Models (LLMs). Explore leading models like OpenAI’s GPT, Anthropic’s Claude, Meta’s LLaMA, and Mistral to create innovative solutions. Whether you're a developer, engineer, student, or simply a tech enthusiast, this course provides a clear path from foundational theory to advanced implementation.

This hands-on course focuses on practical application, guiding you through projects using modern tools:

  • Understand LLM Fundamentals: Learn how LLMs work and how they differ from traditional machine learning models.
  • Master Prompt Engineering: Discover the fundamentals of prompt engineering to effectively guide LLM behavior and achieve desired results.
  • Explore Embeddings & Knowledge Indexing: Learn embedding techniques and how to use vector databases to index knowledge for scalable AI applications.
  • Build Intelligent Agents & Chatbots: Develop your own intelligent agents, sophisticated chatbots, and personalized assistants powered by LLMs.
  • Implement Semantic Search: Utilize semantic search, cosine similarity, and vector stores for real-time knowledge retrieval and improved search accuracy.
  • Essential Tools: Gain proficiency with key technologies including Python, LangChain, OpenAI API, Hugging Face, and more.
  • Project-Based Learning: Build a complete LLM-powered conversational travel assistant from the ground up.
  • Python Crash Course: A dedicated Python crash course ensures all learners have the necessary coding foundation.

By the end of this course, you'll be equipped with the practical skills to integrate LLMs into your applications and deploy intelligent tools into the real world. No prior AI experience is required – we'll guide you every step of the way. Let's build the future of AI together!

$ whoami — the devs behind tutorialsearch.io

Want AI in your product? Hire the team behind TutorialSearch.io

LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.

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