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10 Free AI Courses – You must not miss

10 Free AI Courses – You must not miss
Google AI for Anyone Training Logo

Artificial intelligence (AI) is a rapidly growing field with applications in a wide range of industries. If you are interested in learning more about AI, there are many free online courses available. These courses can teach you the basics of AI, such as machine learning, natural language processing, and computer vision. They can also help you develop your skills in Python, a popular programming language for AI.

Here are 10 free online courses that can help you start your AI journey:

1. Google — AI for Anyone

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GUVI Free AI Course: Learn the Basics of ChatGPT for Everyone

GUVI Free AI Course: Learn the Basics of ChatGPT for Everyone with Google for education as a partner.Get Your Free Certificate on Completion of the Course.

Are you fascinated by the world of artificial intelligence (AI) and eager to understand how it works? Look no further! We are excited to offer you a comprehensive Free AI Course where you can dive into the basics of ChatGPT. Whether you’re a beginner or already have some experience in AI, this course is designed to provide valuable insights and practical knowledge to anyone interested in this cutting-edge technology.

GUVI Free AI Course


GUVI Free AI Course : Table of Contents

  1. Introduction to ChatGPT
    1. What is ChatGPT?
    2. Why learn ChatGPT?
    3. How does ChatGPT work?
  2. Getting Started with ChatGPT
    1. Setting up your environment
    2. Exploring the ChatGPT interface
    3. Creating your first chatbot
  3. Understanding Natural Language Processing
    1. What is Natural Language Processing (NLP)?
    2. Key concepts in NLP
    3. NLP applications in ChatGPT
  4. Training and Fine-tuning Models
    1. Gathering training data
    2. Preparing data for model training
    3. Techniques for fine-tuning models
  5. Evaluating Model Performance
    1. Metrics for evaluating chatbot performance
    2. Testing your chatbot with sample inputs
    3. Iterative improvement of chatbot responses
  6. Deploying ChatGPT in Real-world Scenarios
    1. Integrating ChatGPT with websites and apps
    2. Scaling chatbot infrastructure
    3. Handling user feedback and improving models
  7. Ethical Considerations in ChatGPT Development
    1. Bias and fairness in AI models
    2. Ensuring privacy and data security
    3. Transparency and explainability in chatbot interactions
  8. ChatGPT Use Cases and Success Stories
    1. Customer support chatbots
    2. Virtual assistants and personal chatbots
    3. Industry-specific applications of ChatGPT
  9. Future Trends and Advancements in ChatGPT
    1. OpenAI’s research roadmap
    2. Recent breakthroughs in AI language models
    3. Exciting possibilities for the future of ChatGPT
  10. Conclusion

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