Course Outline

Introduction to AI Assistants

  • Overview of conversational AI and virtual assistants
  • Trends in AI-driven human-computer interaction
  • Use cases across industries

Conversational AI Design and UI/UX

  • Principles of human-centered AI design
  • Building chatbot flows and user interaction mapping
  • Prototyping AI assistant interfaces using Figma or similar tools

Natural Language Processing (NLP) and Context Awareness

  • Understanding NLP models (transformers, embeddings, intent recognition)
  • Entity extraction and context retention in conversations
  • Handling multi-turn dialogues and contextual understanding

Building AI Assistants with Development Frameworks

  • Choosing the right development framework: Dialogflow, Rasa, OpenAI API
  • Implementing AI-driven dialogue flows
  • Integrating speech-to-text and text-to-speech capabilities

Integrations and API Connectivity

  • Connecting AI assistants with external APIs and databases
  • Integrating with messaging platforms (Slack, WhatsApp, etc.)
  • Security best practices for AI-powered assistants

Deployment and Maintenance

  • Hosting AI assistants on cloud platforms
  • Monitoring and improving performance with analytics
  • Ongoing model updates and fine-tuning strategies

Real-World Project Implementation

  • Building a functional AI assistant prototype
  • Testing, debugging, and optimizing for real users
  • Final deployment and future improvements

Summary and Next Steps

Requirements

  • Basic understanding of artificial intelligence and machine learning concepts
  • Experience with at least one programming language (Python, JavaScript, or similar)
  • Familiarity with UI/UX design principles (for designers)

Audience

  • AI developers
  • UI/UX designers
  • Conversational AI enthusiasts
 21 Hours

Number of participants


Price per participant

Upcoming Courses

Related Categories