Overview
In this 18-hour course, you'll explore the cutting-edge world of Generative AI and Large Language Models. Through hands-on projects and practical implementation, this course will teach you the core concepts, architecture, and techniques of LLMs, Prompt Engineering, and Deployment with tools like OpenAI, Transformers, and LangChain.
What I will be able to do after this course
- Develop and deploy real-world LLM applications using LangChain and Transformers.
- Understand and implement advanced Prompt Engineering techniques for optimized AI interaction.
- Create Retrieval-Augmented Generation (RAG) systems with PDF and application integration.
- Fine-tune LLMs using open-source tools and LoRA techniques for custom applications.
- Set up, develop, and deploy production-ready AI APIs for practical use cases.
Course Instructor(s)
Paulo Dichone is an experienced AI engineer and educator who specializes in making complex technical topics accessible and practical. With a strong background in software development and AI research, Paulo combines theoretical insights with hands-on application. His approachable teaching style ensures you'll gain confidence as you learn.
Who is it for?
This course is perfect for developers and data scientists looking to expand their expertise in AI. It's also designed for beginners with a basic understanding of programming and those curious about advancing their skills in LLMs and Generative AI. Whether you're an industry professional or a tech curiosity seeker, you'll find valuable insights here.
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