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Prompt Engineering Essentials

Unlock Power of Prompts to make most out of Large Language Models!

Duration

16 hrs

Level

Basic Level

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The Prompt Engineering Essentials course is designed to equip every AI enthusiast with the knowledge and skills necessary to leverage the power of generative AI, specifically focusing on prompt engineering. Participants will gain a deep understanding of how to create effective prompts for AI models like ChatGPT, Bard and more. The course will cover various types of prompts, best practices in prompt engineering, and practical applications in diverse fields including Content Creation, Communication, Continuous Learning, Natural Language Processing, Question-Answering, Sentiment Analysis, and Conversational AI.

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This course is ideal for:

  • Business leaders, Executives, Managers, AI enthusiasts and researchers seeking to explore generative AI
  • Software developers and engineers interested in incorporating AI into their applications
  • Data scientists looking to enhance their NLP skills
  • Anyone interested in the intersection of Software development and AI
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  • Walkthrough of the Environment
  • Introduction to the Course
  • Basics of Prompt Engineering
  • The Role of Prompts in AI
  • Understanding Why Prompts Matter
  • Real-World Applications
  • Prompts vs Traditional Inputs
  • Contextual Inaccuracies
  • Handling Randomness and Biases in Responses
  • Managing Hallucination
  • Prompt Size Limitations
  • Overcoming Language and Cultural Hurdles
  • Privacy and Security Concerns
  • Getting Ethical Responses
  • Simple Prompts
  • Instructional Prompts
  • Example-Based Prompts
  • Designing Clear and Concise Prompts
  • Best Practices in Prompt Creation
  • Using Prompt Engineering Tools
  • Introduction to Language Models
  • Prompting Strategies
  • Pre-trained Models
  • Leveraging Patterns in Prompts
  • Persona Pattern
  • Reinforcement and Feedback
  • Adjusting Temperature and Max Tokens
  • Chain of Thought Pattern
  • ReAct Pattern
  • Game Play Pattern
  • ​​Cause and Effect
  • Scenario-based
  • Menu Actions Pattern
  • Combining Multiple Patterns
  • Template-Based Prompting
  • Direct Questioning
  • Comparison
  • Problem-Solving
  • Summarization
  • Opinion/Recommendation
  • Completion/Prediction
  • Clarification
  • Action-Oriented – Tips and Hacks
  • Storytelling
  • Expanding Prompt Variability
  • Data Augmentation Techniques
  • Hands-On: Data  Augmentation
  • Metrics for Prompt Evaluation
  • Human Evaluation Methods
  • Understanding Prompt Quality
  • Natural Language Processing
  • Question-Answering
  • Sentiment Analysis
  • Conversational AI
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