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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.
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