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What you'll get

  • Job Credibility
  • Certification Valid for Life
  • On-demand video*
  • E-Book
  • Self-Paced Learning
  • Certificate of Completion

Exam details

  • Mode of Exam : Online
  • Duration : 1 Hour
  • Multiple Choice Questions are asked
  • No. of Questions are asked : 50
  • Passing Marks : 25 (50%)
  • There is no negative marking

Welcome to the course on Chat GPT! In this module, we will explore the fundamentals of Chat GPT, an advanced language model developed by OpenAI. Chat GPT is designed to generate human-like responses in conversational settings, making it a powerful tool for building chatbots, virtual assistants, and other interactive applications. Throughout this module, we will discuss the key concepts, techniques, and best practices for utilizing Chat GPT effectively.

Module Objectives: By the end of this module, you will be able to:

  1. Understand the architecture and functioning of Chat GPT.
  2. Implement Chat GPT in various applications.
  3. Fine-tune and customize Chat GPT for specific use cases.
  4. Apply best practices for training, deployment, and evaluation of Chat GPT models.

Course Content

Total: 33 lectures
  • What is Chat GPT?
  • Applications of Chat GPT
  • Benefits and limitations of Chat GPT
  • Transformer architecture
  • Self-attention mechanism
  • Encoder-decoder structure
  • Pre-training and fine-tuning
  • Formatting conversational data
  • Data cleaning and preprocessing
  • Handling context and history
  • Dataset selection and collection
  • Pre-training on large-scale data
  • Fine-tuning for specific tasks
  • Transfer learning and domain adaptation
  • Integration with chatbot frameworks
  • Real-time and batch processing
  • Scalability and performance considerations
  • Controlling response style and tone
  • Conditional generation and prompts
  • Incorporating user feedback and reinforcement learning
  • Metrics for evaluating chatbot performance
  • Handling biases and ethical concerns
  • Iterative improvement through user feedback
  • Multi-turn conversations and context management
  • Multi-modal chat interfaces
  • Multilingual and cross-lingual chat systems
  • Designing user-friendly interactions
  • Handling common challenges and edge cases
  • Monitoring and maintaining Chat GPT models
  • Recent advancements in conversational AI
  • Open challenges and research directions
  • Practical applications and opportunities
  • E Book


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