AI prompt engineering workshop

Pythian's AI prompt engineering webinar begins with the fundamentals, teaching you the core principles of interacting with generative AI. Employees will learn to craft clear, effective prompts by providing context and setting constraints, ensuring the quality of your input directly translates to the quality of the AI's output. The webinar explains the vital role of prompt engineering in boosting productivity and mitigating risk, making it an essential skill for your business.

Through hands-on exercises, employees will learn how to craft clear, specific instructions and use techniques like providing context and setting constraints to get tailored, accurate results. We emphasize iterative refinement, teaching employees how to analyze and improve prompts to achieve the best possible outcomes.

Employees engage in practical exercises where employees will apply what they’ve learned, using real-world scenarios related to their job. Employees will begin practicing prompting for common business tasks, such as drafting marketing copy, summarizing lengthy documents, writing code, or generating business reports. The goal is to build muscle memory and confidence in your ability to get the results you need.

Once the fundamentals are covered, we can help employees with advanced prompt engineering techniques. Employees will learn powerful methods like Few-Shot Prompting, which uses examples to guide the AI, and Chain-of-Thought Prompting, which instructs the AI to think step-by-step for more accurate solutions. We also provide pre-built templates and frameworks for common business tasks, enabling you to apply these skills immediately.

As an extension of our support, employees will receive practical application training. We break into role-specific workshops where employees can begin applying their new skills to their daily workflow. Through hands-on exercises, employees will learn how to use prompt engineering to solve problems, from automating customer support to analyzing market trends.

We provide actionable plans for integrating these skills into the team's daily workflows and how to measure the return on your AI investment. Employees will get the right output on the first try, saving time and reducing the need for extensive edits. Employees will reduce AI "hallucinations" and avoid biased or inappropriate outputs, protecting your company's reputation.

Poorly crafted prompts can lead to wasted time and resources. AI prompt engineering training helps employees write more efficient prompts, reducing the number of attempts needed to get a quality result. This helps to lower the operational costs associated with AI tools, as every interaction with a model incurs a cost.

Training employees in AI prompt engineering is crucial for mitigating business risks. By providing clear context and guardrails, strategic prompting can significantly reduce AI errors and "hallucinations." This is essential for maintaining data accuracy, preventing the spread of misinformation, and protecting your company's reputation.

By training employees in prompt engineering, you can achieve significant productivity gains. When teams know how to properly prompt AI tools, it not only boosts individual output but also frees up valuable time for more strategic and creative work.

Effective prompting leads to more accurate and relevant outputs from AI tools. By providing clear instructions and contextual prompts to AI tools, employees can produce higher quality first drafts, creative ideas, and code, reducing the need for extensive revisions and ensuring a higher standard of work.

With the time and mental energy saved on routine tasks, your employees are free to focus on creative problem-solving and innovation. Prompt engineering empowers them to use AI as a powerful brainstorming partner, helping to generate new ideas, identify market trends, and develop novel solutions.

Strategic prompting helps to place guardrails on AI outputs. Training ensures employees know how to reduce the risk of AI "hallucinations," which can lead to the spread of misinformation. It also helps to prevent the generation of biased or inappropriate content, protecting your brand's reputation and ensuring ethical compliance.