Prompt Engineering Training

In this Advanced ChatGPT course, attendees learn sophisticated strategies for creating cutting-edge AI-driven applications. This course covers advanced topics such as fine-tuning ChatGPT, multi-model integration, handling complex dialogues, and advanced prompt engineering. Participants also learn to address challenges related to scalability, content safety, and ethical considerations in AI applications.

This Prompt Engineering for Business course is designed for non-technical users and dives deep into Prompt Engineering fundamentals. Attendees learn to create custom prompts for diverse business needs, explore popular frameworks and tools, and refine prompts through feedback and advanced techniques. 

This Prompt Engineering course teaches software developers how to design and develop effective conversational AI applications using sound prompt engineering techniques. Participants learn how to create targeted custom prompts, resulting in more accurate and engaging conversational experiences. This AI course also teaches attendees techniques for designing, refining, and testing prompts.

This Prompt Engineering course teaches participants how to create powerful text-to-image generation applications using prompt engineering techniques. Students learn best practices for crafting and refining prompts and techniques for optimizing image generation outcomes. The course will also explore ethical considerations, potential biases, and content safety in text-to-image generation. 

This Generative AI Prompt Engineering course teaches students how to design and refine prompts for natural language processing (NLP) models. Students learn to select the right inputs, questions, and context to ensure the model generates accurate and relevant outputs. This course also focuses on prompt engineering for generative NLP models.

This ChatGPT training course will teach you the fundamentals of prompt engineering for large language models (LLMs). Attendees learn how to craft effective prompts to guide LLMs in generating the desired output.  Students also learn about different prompting techniques, including zero-shot prompting, few-shot prompting, chain-of-thought prompting, and retrieval-augmented generation.