Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction to AI Assistants
- An overview of conversational AI and virtual assistants
- Current trends in AI-driven human-computer interaction
- Key use cases across various industries
Conversational AI Design and UI/UX
- Principles of human-centered AI design
- Creating chatbot flows and mapping user interactions
- Prototyping AI assistant interfaces using tools like Figma
Natural Language Processing (NLP) and Context Awareness
- Understanding NLP models (including transformers, embeddings, and intent recognition)
- Entity extraction and context retention during conversations
- Managing multi-turn dialogues and enhancing contextual understanding
Building AI Assistants with Development Frameworks
- Selecting the appropriate development framework: Dialogflow, Rasa, or 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
- Integration with messaging platforms (such as Slack, WhatsApp, etc.)
- Security best practices for AI-powered assistants
Deployment and Maintenance
- Hosting AI assistants on cloud platforms
- Monitoring and improving performance through analytics
- Strategies for ongoing model updates and fine-tuning
Real-World Project Implementation
- Developing a functional AI assistant prototype
- Testing, debugging, and optimizing for end-users
- Final deployment and planning for future improvements
Requirements
- A foundational understanding of artificial intelligence and machine learning concepts.
- Proficiency in at least one programming language (such as Python, JavaScript, or similar).
- Knowledge of UI/UX design principles (for designers).
Target Audience
- AI Developers
- UI/UX Designers
- Conversational AI Enthusiasts
