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Prompt-Engineering-Guide/pages/course.en.mdx

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# Prompt Engineering Courses
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import { Callout } from 'nextra/components'
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We've partnered with Maven to deliver the following live cohort-based courses on prompt engineering:
- [LLMs for Everyone ](https://maven.com/dair-ai/llms-for-everyone) (Beginner) - learn about the latest prompt engineering techniques and how to effectively apply them to real-world use cases.
- [Prompt Engineering for LLMs ](https://maven.com/dair-ai/prompt-engineering-llms) (Advanced) - learn advanced prompt engineering techniques to build complex use cases and applications with LLMs.
We are now offering a special discount for our learners. Use promo code MAVENAI20 for a 20% discount.
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</Callout>
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These hands-on courses are built to compliment this prompt engineering guide. They are designed to help expand your skills and knowledge by teaching you how to effectively apply the concepts learned in this guide to real-world use cases and applications.
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[Elvis Saravia](https://www.linkedin.com/in/omarsar/), who has worked at companies like Meta AI and Elastic, and has years of experience in AI and LLMs, is the instructor for both courses.
Our past learners range from software engineers to AI researchers and practitioners in organizations like Microsoft, Google, Apple, Airbnb, LinkedIn, Amazon, JPMorgan Chase & Co., Asana, Intuit, Fidelity Investments, Coinbase, Guru, and many others.
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Topics we provide training on:
- Taxonomy of Prompting Techniques
- Tactics to Improve Reliability
- Structuring LLM Outputs
- Zero-shot Prompting
- Few-shot In-Context Learning
- Chain of Thought Prompting
- Self-Reflection & Self-Consistency
- ReAcT
- Retrieval Augmented Generation
- Fine-Tuning & RLHF
- Function Calling
- AI Safety & Moderation
- LLM-Powered Agents
- LLM Evaluation
- Adversarial Prompting (Jailbreaking and Prompt Injections)
- Judge LLMs
- Common Real-World Use Cases of LLMs
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Reach out to training@dair.ai for any questions about the courses, corporate training, and available group discounts.