Next-Gen AI Assistants: From Design to Deployment Training Course
Next-Gen AI Assistants are intelligent, conversational, and context-aware virtual assistants that leverage NLP, multimodal AI, and advanced design principles to provide seamless user interactions.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level AI developers and UI/UX designers who wish to learn how to build, optimize, and deploy AI-powered virtual assistants.
By the end of this training, participants will be able to:
- Design effective conversational AI workflows and UI/UX interfaces.
- Implement AI-driven natural language processing (NLP) models.
- Integrate AI assistants with APIs and third-party platforms.
- Deploy and maintain AI assistants for real-world applications.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
Open Training Courses require 5+ participants.
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