Mastering ChatGPT and Advanced Prompt Engineering

Mastering ChatGPT and Advanced Prompt Engineering

Course Duration: 30 Days

Target Audience:

  • • Aspiring AI Developers
  • • Software Engineers
  • • UX/UI Designers
  • • Entrepreneurs
  • • Data Scientists
  • • AI Enthusiasts
  • • Industry Professionals (e.g., healthcare, education)

Course Objectives:

  • • Master ChatGPT and its applications in Conversational AI
  • • Craft effective prompts for desired AI responses.
  • • Proficiency in using OpenAI's API.
  • • Customize ChatGPT for specific tasks and domains.
  • • Design engaging and user-friendly conversations.
  • • Ensure ethical AI development and transparency.
  • • Extend capabilities to handle text, speech, and vision.
  • • Optimize model performance and reduce latency.
  • • Continuously improve AI models through reinforcement learning.
  • • Gain expertise in deploying ChatGPT in various industries.
  • • Showcase proficiency through a capstone project.

Course Assessment:

  • • Quizzes to test knowledge.
  • • Hands-on assignments applying concepts.
  • • Participation in discussions and forums.
  • • Capstone project showcasing proficiency.
  • • Mid-term and final exams.
  • • Peer reviews of capstone projects.
  • • Instructor feedback and guidance.

Course Modules

Module 1

Introduction to Conversational AI

  • Understanding Conversational AI and its significance.
  • The role of ChatGPT in the conversational AI landscape

Module 2

Natural Language Processing Fundamentals

  • Basic concepts in NLP.
  • Tokenization, embeddings, and language models.
  • Preprocessing data for ChatGPT.

Module 3

Introduction to ChatGPT and Prompt Engineering

  • An in-depth look at ChatGPT.
  • Introduction to prompt engineering for model customization.
  • Prompting strategies.

Module 4

Leveraging OpenAI's API

  • Setting up the environment for using ChatGPT via the API.
  • Making API requests, handling responses, and managing conversations.

Module 5

Crafting Effective Prompts

  • Writing prompts for desired AI responses.
  • Prompt variations and their impact on model behavior.
  • Best practices in prompt engineering.

Module 6

Customizing ChatGPT with Fine-Tuning

  • Understanding the fine-tuning process.
  • Preparing data for fine-tuning.
  • Hyperparameter tuning for customization.

Module 7

Conversational Design Principles

  • Designing human-like conversations.
  • User experience considerations.
  • Managing multi-turn dialogues.

Module 8

Deploying ChatGPT and Custom Models

  • Deploying ChatGPT in web applications and chat platforms.
  • Integrating custom models.
  • Security and privacy considerations.

Module 9

Ethical and Responsible AI Development

  • Addressing bias and fairness in AI.
  • Implementing transparency and explainability.
  • Ensuring ethical AI practices.

Module 10

Advanced Prompt Engineering Techniques

  • Advanced prompt engineering methods for precise responses.
  • Adapting prompts for specific domains and industries.
  • A/B testing for prompt optimization.

Module 11

Multimodal AI Integration

  • Extending ChatGPT to handle text, speech, and vision inputs.
  • Building multimodal AI applications.
  • Use cases in multimedia.

Module 12

Model Optimization and Efficiency

  • Strategies for optimizing model performance.
  • Model scaling and efficient inference.
  • Reducing response latency.

Module 13

Continuous Learning and Adaptation

  • Continuous improvement and reinforcement learning for chat models.
  • Adapting to user feedback and evolving needs.
  • Staying up-to-date with model advancements.

Module 14

Industry-Specific Applications

  • Case studies in various industries (e.g., healthcare, finance, customer support).
  • Insights into implementing ChatGPT for specific use cases.

Module 15

Capstone Project: Advanced Prompt Engineering and Deployment

  • Apply prompt engineering techniques to create a custom ChatGPT model.
  • Deploy and showcase your advanced conversational AI project.

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