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 Duration 21 hours

Course Outline

Foundations of AI Assistants

  • An introduction to conversational AI and the role of virtual assistants
  • Current trends in AI-driven human-computer interaction
  • Key use cases across various industries

Designing Conversational AI and UI/UX

  • Core principles of human-centered AI design
  • Developing chatbot flows and mapping user interactions
  • Creating prototypes for AI assistant interfaces using tools like Figma or similar

Natural Language Processing (NLP) and Contextual Awareness

  • Exploring NLP architectures including transformers, embeddings, and intent recognition
  • Techniques for entity extraction and retaining context during conversations
  • Managing multi-turn dialogues and achieving deeper contextual understanding

Developing AI Assistants with Modern Frameworks

  • Selecting appropriate development frameworks such as Dialogflow, Rasa, or the OpenAI API
  • Implementing intelligent, AI-driven dialogue structures
  • Incorporating speech-to-text and text-to-speech functionalities

API Integrations and Connectivity

  • Linking AI assistants with external APIs and database systems
  • Integration with popular messaging platforms like Slack, WhatsApp, and others
  • Adopting security best practices for AI-powered solutions

Deployment and Ongoing Maintenance

  • Hosting AI assistants on scalable cloud platforms
  • Tracking and enhancing performance through data analytics
  • Strategies for continuous model updates and fine-tuning

Applying Skills to Real-World Projects

  • Constructing a fully functional AI assistant prototype
  • Conducting testing, debugging, and optimization for end-users
  • Finalizing deployment and planning for future enhancements

Requirements

  • Fundamental knowledge of artificial intelligence and machine learning concepts
  • Proficiency in at least one programming language, such as Python, JavaScript, or equivalent
  • A solid grasp of UI/UX design principles (specifically for designers)

Target Audience

  • AI developers
  • UI/UX designers
  • Professionals interested in conversational AI

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