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Artificial intelligence has become an extremely important area for IT professionals and engineers in the past 10-20 years with the scientific breakthroughs and practical applications of deep learning and more recently of generative AI systems, especially with its Large Language Model (LLM) variant such as OpenAI’s ChatGPT and Google’s Bard. Due to its importance and impact on every aspect of our lives, understanding the concepts, functionalities and practical usage of AI systems is quickly becoming essential for all IT and other technical professionals as well as for managers with technical background.
This training focuses on ChatGPT/GPT API Prompt Engineering and teaches participants the following topics (preliminary list):
- Prompt Engineering fundamentals
- Techniques for effective prompt engineering
- Best practices for prompt engineering
- Advanced prompt engineering strategies
- Code Generation using GPT Prompt Engineering
Besides gaining a basic understanding of the concepts of prompt engineering, students will also make extensive lab exercises using the OpenAI GPT Python API to see how these concepts work in practice.
This training is part of the AI portfolio of Component Soft which explores essential AI topics, such as ChatGPT and GPT API Prompt Engineering for Developers, Deep Learning Basics, Large Language Models (LLM) Basics, and Generative AI Basics.
Course Length: 8 training hours
Structure: 50% theory, 50% hands on lab exercises
Target audience: Software developers and other IT and technical professionals as well as managers with technical background who want to understand the concepts, techniques and best practices of GPT prompt engineering with ChatGPT and with the OpenAI GPT Python API.
Prerequisites: Basic understanding of IT systems and programming concepts. Basic Python programming skills.