About This Course
Welcome to the "Practical AI for Engineers & Developers" course designed specifically for engineers, software developers, and power users who want to explore the practical applications of Large Language Models (LLMs). This course covers AI fundamentals, chatbot technologies, API integrations, and advanced LLM functionalities such as fine-tuning and reinforcement learning.
Learning Objectives
Upon completing this course, you will be able to:
- Understand the fundamentals of Generative AI and Large Language Models (LLMs).
- Differentiate between different types of LLM training: Pre-training, Instruction Fine-tuning, and Reinforcement Learning with Human Feedback (RLHF).
- Effectively use and compare common chatbot models.
- Apply prompt engineering techniques to optimize AI-generated responses.
- Integrate LLM capabilities into applications using APIs.
- Explore AI-driven tools for automation, software development, and data analysis.
Prerequisites
- Basic understanding of programming (Python preferred).
- Familiarity with APIs and web services.
- Interest in AI-driven automation and chatbot applications.
Target Audience
- Engineers seeking to integrate AI into their development workflows.
- Software developers looking to leverage AI for automation and application enhancement.
- Power users who want to maximize AI efficiency for data processing and content generation.
- Tech professionals exploring LLM-powered tools and APIs.
Training Outline
- Introduction to Generative AI and LLMs
- Understanding and Using Chatbot AI
- Mastering Prompt Engineering
- Integrating AI with API Access
- Advanced AI and LLM Applications
- Ethics & Future of AI