Skip to main content

AI Training Program

Our training program follows the 1:4 ratio principle - one part theory to four parts hands-on practice, ensuring participants gain practical experience while understanding core concepts.

Program Structure​

Core Curriculum​

  • AI Fundamentals (1 day)
  • Tool Proficiency (2 days)
  • Process Integration (2 days)
  • Practical Applications (5 days)
  • Final Project (5 days)

Learning Paths​

  • User Track (2 weeks)
  • Designer Track (3 weeks)
  • Architect Track (4 weeks)
  • Expert Track (6 weeks)

Delivery Methods​

  • Interactive Workshops
  • Hands-on Labs
  • Real Case Studies
  • Mentored Projects
  • Peer Learning

Assessment Methods​

  • Skills Evaluation
  • Project Delivery
  • Process Design
  • Knowledge Sharing
  • Certification Tests

Role-Based Tracks​

User Track​

  • Basic AI concepts
  • Tool usage
  • Process following
  • Task execution
  • Problem reporting

Designer Track​

  • Advanced concepts
  • Process design
  • Use case adaptation
  • Workflow optimization
  • Quality assurance

Architect Track​

  • System design
  • Integration planning
  • Solution architecture
  • Performance tuning
  • Risk management

Expert Track​

  • Innovation leadership
  • Strategy development
  • Complex problem solving
  • Knowledge creation
  • Mentoring others

Practical Components​

Hands-on Labs​

  • Tool Practice
  • Process Execution
  • Problem Solving
  • Error Handling
  • Performance Tuning

Real Projects​

  • Use Case Implementation
  • Process Design
  • Solution Development
  • Integration Work
  • Quality Assurance

Workshops​

  • Design Sessions
  • Code Reviews
  • Architecture Reviews
  • Problem Analysis
  • Solution Planning

Mentoring​

  • Skill Development
  • Knowledge Transfer
  • Best Practices
  • Career Growth
  • Leadership Skills

Success Metrics​

Individual Progress​

  • Skill Acquisition
  • Project Completion
  • Process Understanding
  • Tool Proficiency
  • Problem-Solving Ability

Team Impact​

  • Collaboration Level
  • Knowledge Sharing
  • Process Improvement
  • Innovation Rate
  • Support Quality

Business Outcomes​

  • Productivity Gains
  • Quality Improvements
  • Innovation Speed
  • Cost Reduction
  • Risk Management

Long-term Growth​

  • Career Development
  • Role Advancement
  • Expertise Building
  • Leadership Growth
  • Community Building