Course Code: aichatbotbspk
Duration: 15 hours
Overview:

Learning tools and materials (throughout the course):

  • Handouts and Practical Assignments: Detailed guides and tasks related to each module for hands-on experience.
  • Class Participation / Quizzes: Interactive sessions and quizzes to ensure comprehension.
  • Individual/Group Projects, Course Assessments: Opportunities for practical application, encouraging creativity and problem-solving.
Course Outline:

Module 1: Introduction to Chatbots and OpenAI (2 hours)

  1. Chatbots in Today’s Digital Age (30 minutes)
    • Evolution and significance of chatbots
    • Different types of chatbots and their applications
  2. Introduction to OpenAI (1 hour)
    • Overview of OpenAI and its mission
    • Deep dive into GPT models (architecture, capabilities, and limitations)
  3. Why OpenAI for Chatbot Development? (30 minutes)
    • Advantages and opportunities
    • Brief on customization and fine-tuning possibilities

Module 2: Fundamentals of Cloud Computing with Azure (3 hours)

  1. Introduction to Cloud Computing (1 hour)
    • Definition, characteristics, and advantages
    • Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS)
  2. Getting Started with Azure (1 hour)
    • Azure Dashboard and Navigation
    • Setting up an Azure account
    • Introduction to Azure services
  3. Azure for AI and Machine Learning (1 hour)
    • Azure Machine Learning Studio
    • Deploying models in Azure
    • Cost considerations

Module 3: Setting up the Development Environment (2 hours)

  1. Python for AI (30 minutes)
    • Essential libraries (like TensorFlow, PyTorch, Transformers)
    • Virtual environments
  2. Azure SDK for Python (1 hour)
    • Installation and configuration
    • Accessing Azure services from Python
  3. Initial Setup of OpenAI GPT Model (30 minutes)
    • Accessing pre-trained models
    • Understanding tokenization

Module 4: Development and Fine-tuning of Chatbots using OpenAI (3 hours)

  1. Basics of Model Training (1 hour)
    • Understanding training, validation, and test datasets
    • Epochs, batches, and learning rates
  2. Fine-tuning OpenAI GPT for Custom Tasks (1 hour)
    • Preparing custom datasets
    • Training and evaluation best practices
  3. Building a Simple Chatbot using OpenAI GPT (1 hour)
    • Creating interaction loops
    • Handling user input and generating responses

Module 5: Deploying Chatbots to Azure (3 hours)

  1. Introduction to Azure Web Services (1 hour)
    • Web Apps and API services
    • Scalability and availability considerations
  2. Integrating OpenAI Model with Web Interfaces (1 hour)
    • Creating RESTful APIs
    • Communicating with the model in real-time
  3. Deployment to Azure and Testing (1 hour)
    • Pushing the application to Azure
    • Monitoring and diagnostics

Module 6: Practical Application and Conclusion (2 hours)

  1. Group Project: Building an AI Chatbot (1 hour)
    • Gathering requirements
    • Designing and implementing the chatbot
  2. Assessment and Feedback (30 minutes)
    • Quizzes, course assessments, and competitions
    • Feedback on individual/group projects
  3. Course Recap and Next Steps (30 minutes)
    • Summary of learnings
    • Further reading and courses