Airlines Industry
Certification Program
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Why Get Certified?
Career Advancement
- Gain expertise in cutting-edge AI technology
- Enhance your professional credentials
- Open new career opportunities
- Position yourself as an AI implementation expert
- Join a growing field of AI professionals
Industry Recognition
- Official certification from a leading AI company
- Validation of your technical expertise
- Recognition in the AI implementation community
- Access to exclusive professional networks
- Enhanced credibility with employers and clients
Professional Benefits
- Priority access to LiaPlus AI support
- Exclusive access to technical resources
- Participation in beta testing programs
- Networking opportunities with other certified professionals
- Regular updates on new features and capabilities
Program Overview
Course Objective
Transform you into a skilled LiaPlus AI developer capable of implementing and managing enterprise-grade voice AI solutions.
Prerequisites
Basic understanding of REST APIs
- Experience with any programming language (preferably Python)
- Familiarity with cloud platforms
- Basic understanding of DevOps concepts
Target Audience
Basic understanding of REST APIs
- Software developers
- System integrators
- DevOps professionals
- Technical architects
- IT professionals in customer support
Learning Outcomes
Upon completion, you will be able to
- Deploy LiaPlus AI voice assistants in various environments
- Integrate with enterprise systems
- Configure and optimize voice processing
- Implement security best practices
- Monitor and maintain voice AI systems
- Troubleshoot complex issues
LiaPlus AI Certified Developer Curriculum
Program Details
Duration
Total Hours:
80 hours
Format
10 business days
Daily Schedule
8 hours (9 AM – 6 PM with breaks)
Module 1
Introduction to LiaPlus AI (4 hours)
Introduction to LiaPlus AI (4 hours)
Core Topics
- Overview of LiaPlus AI platform and vision
- Key features of LiaPlus AI Voice Assistants
- Enterprise use cases and success stories
- Certification roadmap and expected outcomes
Learning Objectives
- Understand LiaPlus AI’s position in the enterprise AI landscape
- Identify key applications and benefits for large enterprises
- Set clear goals for certification completion
Module 2
Understanding the LiaPlus AI Ecosystem (8 hours)
Understanding the LiaPlus AI Ecosystem (8 hours)
Components of Voice AI Assistant
- LLM Models and their role in conversation handling
- Speech-to-Text (STT) and Text-to-Speech (TTS) technologies
- Deep dive into telephony integration:
- Twilio setup
- Avaya setup
- Exotel integration
- Other supported providers
Architectural Overview
- Deployment architectures
- Cloud-based deployment patterns
- On-premise deployment strategies
- Hybrid deployment options
- API interaction patterns
- Call workflow architecture:
- Inbound call handling
- Outbound call processing
- Real-time streaming considerations (Web calls)
Module 3
Setting Up the Development Environment (8 hours)
Setting Up the Development Environment (8 hours)
Pre-requisites
- Hardware requirements and specifications
- Software dependencies:
- LiaPlus AI framework setup
- Docker container management
- Azure/GCP essentials
- Postgresql/Mongodb development environment
- Network and security requirements
Installation and Configuration
- Step-by-step dependency installation
- LiaPlus AI setup and configuration
- API and webhook configuration:
- Authentication setup
- Endpoint configuration
- Testing and validation
Module 4
Deployment and Integration (16 hours)
Deployment and Integration (16 hours)
Deployment Methods
- Cloud deployment:
- GCP deployment process
- Azure deployment options
- On-premise deployment:
- Server preparation
- Component installation
- Network configuration
Server Integration
- VM configuration for different components:
- Speech processing VMs
- LLM serving VMs
- Telephony handling
- Security implementation:
- SSL/TLS setup
- Firewall configuration
- Access control implementation
Client API Integration
- CRM system integration:
- Custom CRM integration
- Data synchronization patterns
- Error handling and retry mechanisms
Module 5
Using the LiaPlus AI Dashboard (12 hours)
Using the LiaPlus AI Dashboard (12 hours)
Dashboard Features
- Navigation and interface overview
- Voice assistant management
- Configuration options and settings
- Reporting and analytics tools
User Management
- Role-based access control
- Permission management
- User authentication and authorization
- Team collaboration features
Monitoring and Analytics
- Real-time monitoring:
- Call volume metrics
- Performance indicators
- Error rates and types
Analytics capabilities:
- Conversation analysis
- Sentiment tracking
- Usage patterns
- Custom report generation
Customization Options
- Assistant personality configuration
- Workflow customization:
- Task-specific workflows
- Decision tree setup
- Fallback handling
- Response template management
Module 6
Advanced Topics (12 hours)
Advanced Topics (12 hours)
Telephony Integration
- Bi-directional streaming setup
- Audio quality optimization
- Latency management
- Provider-specific configurations
Customization Options
- Assistant personality configuration
- Workflow customization:
- Task-specific workflows
- Decision tree setup
- Fallback handling
- Response template management
Scalability and Performance
- Load testing methodologies
- Performance optimization techniques
Troubleshooting and Debugging
- Common integration issues
- Deployment problems
- Performance bottlenecks
- Log analysis and debugging tools
Module 7
Hands-On Projects (12 hours)
Hands-On Projects (12 hours)
Project Implementations
Basic Deployment Project:
- Setting up development environment
- Deploying basic voice assistant
- Testing basic functionality
CRM Integration Project:
- Connecting to sample CRM
- Data synchronization setup
- Testing integration points
Dashboard Customization Project:
- Personality configuration
- Workflow setup
- Testing custom scenarios
Analytics Project:
- Setting up monitoring
- Creating custom reports
- Analyzing call patterns
Module 8
Best Practices and Compliance (4 hours)
Best Practices and Compliance (4 hours)
Security and Compliance
- Data privacy standards
- Security best practices
- Compliance requirements:
- HIPAA requirements
- ISO27001 standards
- Regular maintenance procedures
Module 9
Certification Assessment (4 hours)
Certification Assessment (4 hours)
Certification Assessment
Evaluation Components
- Theory Assessment:
- Multiple choice questions
- Architecture design problems
- Security scenario analysis
Practical Assessment:
- Deployment task
- Integration implementation
- Troubleshooting exercise
Dashboard Proficiency:
- Configuration test
- Analytics interpretation
- Workflow setup
Module 10
Certification and Support (4 hours)
Certification and Support (4 hours)
Certification Assessment
- Post-Certification Benefits
- Official LiaPlus AI Developer certification
- Ongoing support channels
Continuing Education
- Case study sessions
- Advanced feature workshops
Additional Resources
- Complete documentation access
- Sample code repository
- Troubleshooting guides
- Best practice documents
Program Fee: $300
- All course materials
- Certification exam
- One year of learning resources
- Support during training
Delivery Format
Hybrid learning approach Combination of:
- Virtual instructor-led sessions
- Hands-on practicals
- Interactive workshops
- Application-oriented Projects
Payment Options
- Full payment before the course starts
- Corporate invoicing available
- Major credit cards accepted
- Bank transfer options
Location & Timing
Virtual sessions: Global Access
Physical locations: Delhi
Time zones: IST (UTC+5:30)
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Corporate packages also available
What You'll Receive
During the Program
- Comprehensive course materials
- Access to practical implementations
- Practice environments
- Technical documentation
- Implementation guides
- Sample code repositories
Post-Certification
- Digital certification
- Official LiaPlus AI developer badge
- Continuing education resources
- Priority technical support
- Regular update briefings
Administrative Information
Registration Process
- Submit application
- Complete prerequisite assessment
- Receive acceptance notification
- Complete payment
- Receive course access
Cancellation Policy
- Full refund: Up to 14 days before
- 50% refund: 7-13 days before
- No refund: Less than 7 days before