About the Course:
This 3-hour live training is designed to provide a deep dive into Large Language Models (LLMs), their inner workings, and their role in AI-driven applications. You will explore how LLMs are trained, optimized, fine-tuned, and leveraged to build AI agents that can automate complex tasks. The session will include hands-on demonstrations, best practices, and industry use cases to help you master LLM engineering and apply it effectively in your projects. This live training will cover hands-on techniques to optimize, deploy, and integrate large language models for real-world applications.
Course Objectives:
- Understand how LLMs function and their architecture.
- Learn prompt engineering techniques for optimal responses.
- Master fine-tuning and embedding models.
- Build AI agents that interact with APIs and tools.
- Deploy LLM-based applications efficiently.
Target Audience:
- AI/ML Engineers & Data Scientists are looking to expand their LLM expertise.
- Software Developers are interested in integrating AI into applications.
- Tech Enthusiasts & Researchers keen on understanding LLMs.
- Business & Product Leaders exploring AI-driven solutions.
Basic Knowledge:
- Python programming (basic to intermediate)
- Fundamentals of Machine Learning & NLP
- Familiarity with APIs and cloud platforms (optional but helpful)