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Last Update: Mar 16, 2024

Introduction to Artificial Intelligence (AI)

  • R6500,00

About Course

The aim of the Introduction to Artificial Intelligence (AI) course is to furnish students with a thorough grasp of the core principles of artificial intelligence and its diverse range of applications.

What Will You Learn?

  • Each module can include a mix of theoretical concepts, practical demonstrations, and hands-on exercises to
  • provide a comprehensive understanding of AI Chat GPT and its application in building conversational AI systems.
  • Additionally, the syllabus can be adapted or expanded based on the specific learning objectives and duration of the course.

Course Content

Introduction to AI Chat GPT
Overview of conversational AI Introduction to AI Chat GPT technology Applications and use cases of AI Chat GPT

Understanding Natural Language Processing (NLP)
Basics of NLP and its relevance to AI Chat GPT Language modeling and text generation Challenges in natural language understanding

Introduction to Generative Pre-trained Transformer (GPT)
Overview of the GPT architecture Pre-training and fine-tuning processes How GPT generates human-like text responses

Building Basic Chatbots with GPT
Setting up the development environment Implementing basic conversational logic Handling user inputs and generating responses with GPT

Enhancing Chatbot Capabilities
Fine-tuning GPT for specific tasks Implementing context handling and memory in conversations Personalizing responses based on user interactions

Deployment and Integration
Deployment considerations for production environments Integrating GPT-based chatbots into websites and applications Testing and debugging chatbots

Ethical and Privacy Considerations
Ethical guidelines for AI development and deployment Ensuring privacy and data protection in chatbot interactions Addressing bias and fairness in AI Chat GPT systems

Case Studies and Practical Applications
Analyzing real-world AI Chat GPT applications Collaborative project work to implement chatbot solutions Presentations and discussions on project outcomes

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Material Includes

  • Internet access
  • Computer or laptop

Audience

  • Matric/Certificate/Diploma/Degree Basic Knowledge of Computer and Prerequisite,