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Chat-GPT AI

Chat-GPT AI

Duration in Hours : 30

Duration in Days: 15

Chat GPT AI

Course Code: CGPTAI20CS

20 Hours of Theory

10 Hours of Lab

  1. Emergence of ChatGPT
  2. What is ChatGPT?
  3. How does ChatGPT work?
  4. Applications of ChatGPT
  5. Introduction to OpenAI and its role in NLP and AI
  6. Overview of OpenAI’s GPT models (e.g., GPT-2 and GPT-3)
  7. Environment setup
  8. Sign up for an OpenAI API account
  1. Using ChatGPT for live coding
  2. Build, optimize, and scale business using ChatGPT
  3. Advanced SEO for digital marketers
  4. Creating social media posts with ChatGPT
  5. Using ChatGPT for language translation
  6. Using ChatGPT for YouTube scripts
  7. Code generation and code debugging with ChatGPT
  8. Content creation with ChatGPT
  9. Question answering
  10. Sentiment analysis
  1. Building web development architecture
  2. Building backend server
  3. Setting up the database
  4. Setting up a React-based client-side application
  5. Writing user API requests to MongoDB with Express and React
  6. Fetching and updating the database with MongoDB API and routing with Express
  7. Routing to React-based client-side application
  8. Debugging and client-side coding
  1. Create serverless ChatGPT
  2. Integrate ChatGPT with Power Automate
  3. Integrate ChatGPT with Power Apps
  4. Integrate ChatGPT with Outlook
  5. Integrate ChatGPT with Bubble
  6. Integrate ChatGPT with Airtable
  7. Deployment on cloud platforms
  1. Overview of language models
  2. Understanding the architecture of the GPT model
  3. GPT models: advantages and disadvantages
  4. Overview of the pre-trained GPT models available for fine-tuning
  5. Training of ChatGPT
  6. Data preparation
  7. Model architecture
  8. Hyperparameter tuning
  9. Training process
  1. Introduction to GPT-3 and its capabilities
  2. Democratizing NLP
  3. Understanding prompts, completions, and tokens
  4. Understanding GPT-3 risks
  5. Understanding general GPT-3 use cases
  6. Content filtering
  7. Sentiment analysis using GPT-3
  8. Text summarization using GPT-3
  9. Question answering and information retrieval
  10. Introducing the Playground
  11. Handling text generation and classification tasks
  12. Understanding semantic search
  13. Understanding APIs
  14. Getting familiar with HTTP
  15. Reviewing the OpenAI API endpoints
  16. Introducing CURL and Postman
  17. Understanding API authentication
  18. Making an authenticated request to the OpenAI API
  19. Introducing JSON
  20. Using the Completions endpoint
  21. Using the Semantic Search endpoint
  1. Setting up the GPT-3 API and integrating it into projects
  2. Building conversational AI for finance and e-commerce domain
  3. Strengths and limitations of GPT-3 in building conversational AI
  4. Scaling and deploying GPT-3 models to production
  1. Build and deploy ChatGPT AI app                
  2. Build diet planning application
  3. Build a website and create landing page content using ChatGPT
  1. Ethical considerations
  2. Limitations of ChatGPT
  3. Best practices for using ChatGPT
  4. Future developments in the field of ChatGPT
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