Prompting Techniques

Master the art of precision in AI communication
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This comprehensive Generative AI course will help learners become adept at condensing and expanding information, leveraging large language models for insightful inferences, and effectively utilizing diverse formats, such as chat and browser-based prompting. It will also give learners practical exposure to effective API utilization. It will prepare learners to ace roles that demand nuanced communication and strategic application of Generative AI in a digitally evolving landscape. 

Why this

This course will help you learn and understand: 

  • Iterative refinement 
  • Condensing & expanding information 
  • Inferring with large language models 
  • Working with different formats 
  • API utilization 


  • Pillars for crafting your prompts 
  • Structuring input and output 
  • Checking for specific conditions 
  • Checking for hallucinations 
  • Design consideration 
  • Role consideration 

  • Zero-shot prompting 
  • Few-shot prompting 
  • Chain of thought prompting 
  • Self-consistency prompting 
  • Generated knowledge prompting 
  • Automatic prompt engineering 
  • Active prompting 
  • Directional stimulus prompting 
  • React prompting 
  • Multimodal chain of thought 

  • Response analysis 
  • Methods to improve your prompts 
  • Observing the hugging face community for collaboration 

  • Limiting the response length 
  • Focusing the topic of a prompt 
  • Using keywords in a prompt 

  • Synthesizing text 
  • Requesting chain of thought from the model 

  • Using Large Language Models for data analysis 
  • Combining multiple analysis from a model 

  • Translating prompts into different verbal languages 
  • Translating prompts into different coding languages 
  • Manipulating the tone of outputs 
  • Using Generative AI for text corrections 

  • Analyzing predictions vs. Chat functionality  in Generative AI 
  • Utilizing session memory 

  • Capabilities of current models 
  • Giving the model time to act when using browser-based prompting 
  • Utilizing the chain of thought to improve responses 

  • Understanding the API 
  • OpenAI’s playground layer 
  • Playground vs. API 

  • Connecting to the API to demonstrate the use of popular prompting techniques 
  • Connecting to the playground to demonstrate the use of popular prompting techniques 
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Having a STEM background would be helpful. 


Generative AI is a subset of AI that focuses on understanding patterns and structure in data and then using that to create more data like it.

Until now, machines couldn’t exhibit behavior that was indistinguishable from human responses. Generative AI has made that possible. In a world that operates on the principle of ‘Survival of the Fittest’, embracing Generative AI could be the edge you need to boost your productivity, improve operations, be more reliable and consistent, and do so much more.

Prompt engineering is a technique for refining large language models using specific prompts to get the desired outputs. Simply put, prompt engineering is the technique of writing specific effective prompts to get the desired outputs from Generative AI tools.

A prompt engineer is a person who uses prompt engineering techniques to get the desired outputs from Generative AI tools.

Yes, absolutely! The Prompting Techniques online course is a virtual, instructor-led program so you can enroll and learn from anywhere.

Will I get practical training in Cognixia’s Prompting Techniques online training course?

Yes! There will be a pre- and post-assessment for every module during this Prompting Techniques online training course.

Interested in this Course?

    Ready to recode your DNA for GenAI?
    Discover how Cognixia can help.

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