Building LLM Powered Applications – Create Intelligent Apps

Description

Are you ready to step into the future of AI development? This comprehensive course will teach you how to build real-world applications powered by Large Language Models (LLMs) like OpenAI’s GPT, Anthropic’s Claude, Meta’s LLaMA, and Mistral. Whether you’re a developer, engineer, student, or tech enthusiast, this course will guide you through everything from foundational theory to advanced implementation using modern tools like LangChain, LlamaIndex, and vector databases.

In this hands-on, project-based course, you’ll:

• Understand how LLMs work and how they differ from traditional models
• Learn the fundamentals of prompt engineering to guide model behavior effectively
• Explore embedding techniques and how to index knowledge for scalable applications
• Build your own intelligent agents, chatbots, and assistants
• Use semantic search, cosine similarity, and vector stores for real-time knowledge retrieval
• Work with tools like Python, LangChain, OpenAI API, Hugging Face, and more
• Create an LLM-powered conversational travel assistant from scratch

We also include a Python crash course to ensure every learner has the coding foundation to follow along.

By the end of this course, you’ll not only understand how to integrate LLMs into your applications—you’ll have the practical skills to build your own intelligent tools and deploy them into the real world.

No prior AI experience is required. Let’s build the future—together.

Who this course is for:

• Software developers and engineers who want to integrate large language models into real-world applications and tools.
• Data scientists and AI enthusiasts looking to build intelligent agents using LangChain, embeddings, and prompt engineering.
• Entrepreneurs and product builders aiming to create AI-powered products like chatbots, assistants, or RAG systems with minimal overhead.