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Foundations of Prompt Engineering and LLMs
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BeginnerFree Course

Foundations of Prompt Engineering and LLMs

Master the art of crafting effective prompts for AI models like GPT-4 and Claude. Covers zero-shot, few-shot, chain-of-thought prompting techniques, common pitfalls, and real-world applications in customer support, coding, and content generation.

Duration

2 weeks

Lessons

22 lessons

Level

Beginner

Price

Free

Resource Outline

Module 1: Introduction to Prompt Engineering

  • What is Prompt Engineering?
  • Why is Prompt Engineering Important?
  • Real-World Applications
  • Historical Context

Module 2: Types of Prompting Techniques

  • Zero-Shot Prompting
  • One-Shot Prompting
  • Few-Shot Prompting
  • Chain of Thought (CoT) Prompting
  • Tree of Thought (ToT) Prompting

Module 3: Common Issues in Prompt Engineering

  • Sensitivity to Wording
  • Lack of Consistency
  • Bias in Responses
  • Prompt Injection Attacks

What You'll Learn

Master various prompting techniques for different scenarios
Understand and mitigate common prompt engineering challenges
Apply prompt engineering in real-world applications
Optimize interactions with different LLM providers
Develop systematic approaches to prompt design

Pre-requisites

  • Basic understanding of AI concepts
  • Familiarity with using chat interfaces
  • No programming experience required

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Begin your learning journey today

Your Instructor

Deepak Chawla

Deepak Chawla

Founder of HiDevs

Deepak Chawla is a Data Scientist with over seven years of experience in AI, Machine Learning, and Cloud Computing. He co-founded HiDevs to build the largest Generative AI workforce. Prior to HiDevs, he worked at AI Planet, Coffeebeans, Merito, Easyrewardz, Bridgelabz, and Hidden Talent. He studied at M.L.V. Textile Engineering College in Bhilwara. Deepak developed the app "CorrectMe" and offers AI courses through HiDevs.

Who is this resource for?

Content creators and writers
Customer support professionals
Developers working with LLMs
AI enthusiasts and beginners