Effective prompting techniques – advanced level (e-learning)

Learn advanced prompting techniques and harness the potential of AI by automating processes and creating specialised models.

The advanced course will be created in the future for those who want to create their own GPT models or Gems, as well as automate processes. In it, I will expand on the knowledge covered at the general level. Participants will complete dedicated exercises, the results of which will be assessed by my virtual assistant – Neuron! It will be a great combination, as theoretical knowledge can be tested in practice.

AI e-learning programme

  1. What affects a model’s response in practice – going deeper
  2. How a model thinks – prediction and semantic associations
  3. Ways to reduce hallucinations and bias
  4. Combining prompting techniques and iteratively improving prompts
  5. 7 advanced prompting techniques, including as many as 4 original techniques
  6. Formatting and structuring prompts
  7. Context engineering
  8. Creating prompts for specialised models
  9. Creating prompts for automation purposes

What makes the e-learning stand out

Truly original knowledge

Some techniques are based on my own tests and research.

Participants learn unique ways of working that they can apply in practice.

AI-powered digital assistants

I use my own training methodology.

Participants use my EDU platform, where AI assistants support them in their progress.

Practical examples

Examples help make the material easier to understand.

I also aim to use them to inspire participants. This makes it easier to adapt the knowledge to their work.

Useful original exercises

I want participants to be able to consolidate their knowledge through practice.

I have prepared a series of exercises that are assessed by an AI-based assistant.

Access whenever you like

It is not always possible to set aside 2 days for training.

E-learning covers the key aspects of the classic training course at a pace that fits around participants’ responsibilities.

Short lessons, easy to return to

Each lesson lasts no more than a dozen or so minutes.

The material can be explored during breaks and it is easy to return to a selected lesson.

Training outcomes

After completing the training, participants will:

  • Receive a personalised certificate of completion for the e-learning training;
  • Be able to make even better use of the potential of large language models in their day-to-day work;
  • Successfully create prompts for specialised models (GPT models, Gems, etc.) and process automation;
  • Learn my original prompting techniques and practical insights on building prompts that deliver repeatable and predictable results;
  • Be even more aware of the limitations and risks associated with using AI, including those relating to automation.

Additional information

Should you have any questions, please see the Frequently Asked Questions section on the training offer overview page or contact my manager:

Radosław Buk
Chief Operations Officer

radoslaw.buk@oxido.pl
LinkedIn

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