Training Theme 

​In the field of conversational AI, prompts play a crucial role. These triggers are key elements that guide the responses of AI systems. Indeed, they steer text generation by providing cues on the expected content and tone of the response. Language model training heavily relies on learning from these prompts, thereby enhancing the relevance, coherence, and fluidity of interactions. By strategically adjusting prompts, users can influence AI performance and tailor it to various contexts and applications. 

​Throughout this training, we will explore prompt creation, evaluation, and the best practices associated with prompt usage as provided by OpenAI and Microsoft. 

Training Objectives 

​By the end of this training, you will be able to: 

• ​Effectively construct prompts suited for conversational AI by identifying and applying the key components of a successful prompt. 
• ​Enhance your interactions with conversational AI through the development of scalable and precise prompts. 
• ​Optimize communication with AI to perform specific tasks by tailoring your prompts according to needs. 

Prerequisite and Target Audience 

Target audience: Any user of generative AI.
Startup Level: Intermediate
Prerequisite: Basic understanding of artificial intelligence, its usage, and an interest in innovation. 

Means and Methods 

• Tutorial Videos: A selected series of videos will help you achieve the defined educational objectives.
• Evaluation Quiz: A quiz will be provided at the end to validate your understanding.  

Training Content 

6 tutorial videos:

• ​Chapter 1: What is a prompt in conversational AI? 
• ​Chapter 2: The basics of prompting in conversational AI. 
• ​Chapter 3: Task precision in prompting. 
• ​Chapter 4: The importance of context in your requests. 
• ​Chapter 5: Form and example for optimal results. 
• ​Chapter 6: Personality and tone for a realistic output. 

1 Course Knowledge Validation Quiz 

Learn more about Conversational AI: 

​In a world where technological advancement is now measured in months rather than years, conversational artificial intelligence represents a significant milestone in our digital era. 

​These systems, capable of understanding and responding to human queries with surprising accuracy and fluidity, embody the pinnacle of decades of research and development in computing and linguistics. 

​As we navigate through this period of rapid transformation, conversational AI is emerging not only as a tool to facilitate daily tasks but also as a digital companion, enhancing our interaction with the digital world. 

​This technology continues to push the boundaries of what is possible, promising a future where the barriers between humans and machines blur, paving the way for possibilities once deemed unimaginable.