ChatGPT Basics: Foundational Skills for Effective Use

Course Info

Length: 1 Week

Type: In Classroom

Available Dates

Venue

  • Nov-25-2024

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  • Jan-19-2026

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Course Details

Course Outline

5 days course

Introduction to ChatGPT and Its Evolution  


  • Understanding ChatGPT: History, capabilities, and impact across industries
  • Introduction to Natural Language Processing (NLP) and conversational AI
  • Real-world examples of ChatGPT’s application in various sectors
  • Introduction to Generative AI and transformation architecture
  • Overview of multi models functions and applications

Basics of Prompt Engineering


  • Definition and importance of prompt engineering
  • Exploring different prompt engineering techniques and their impact on AI responses
  • Understanding few-shot and zero-shot learning techniques
  • Practical exercise on creating effective prompts using the ChatGPT interface
  • Strategies for designing prompts that drive desired outcomes

Experimenting with Different LLM Models 


  • Exploring various Large LLM models and their features:


  1. ChatGPT
  2. Google Gemini
  3. Lama3


  • Comparison between ChatGPT and open-source models
  • Understanding fine-tuning techniques
  • Experimenting with different LLM models
  • Ways for evaluating the performance of different LLM models

OpenAI Assistance and LangChain Agents 


  • Discussing the features of OpenAI, focusing on custom function calls
  • Understanding the purpose and features of LangChain
  • Identifying the role of LangChain Agents and its automation and optimization functions
  • Understanding LangChiain’s line graph feature and its usage
  • Practical exercise on integrating Open AI assistance and LangChain tools into workflow

Advanced Techniques and Best Practices


  • Exploring advanced techniques for optimizing prompts and improving responses quality
  • Overview of troubleshooting and debugging techniques
  • Discussing future trends in AI and ChatGPT technology
  • Exercises and projects to create and test prompts and assistants
  • Peer review and feedback on the exercises
  • Recap of key concepts and takeaways