IT SPECIALIST: ARTIFICIAL INTELLIGENCE

This practical program helps professionals, managers, and technical teams understand how to adopt AI responsibly and effectively. It focuses on real-world business use cases, governance, and workforce upskilling. Designed for professionals and managers and focused on practical business applications. The training aligns with industry-recognized AI competency frameworks.

Phase 1: Business Readiness & AI Strategy: Learn how to identify business challenges suited for AI, define success metrics, and assess organizational readiness. 

• Know when AI adds value 
• Define clear AI-driven objectives
• Understand risk, compliance, and ethics

 Phase 2: Data Strategy & Preparation: Build a strong data foundation for AI initiatives.

• Improve data decision-making and governance
• Assess data readiness
• Reduce risk from poor data quality or bias

Phase 3: Model Development & Business Insight: Explore AI model options and interpret performance metrics without coding.

• Participate in model selection
• Evaluate performance and explain results
• Communicate AI-driven insights confidently

Phase 4: Deployment & Operational Integration: Prepare for real-world AI adoption and workflow integration.

• Integrate AI into existing operations
• Enhance collaboration between technical and business teams
• Minimize deployment risks

Phase 5: Monitoring, Impact & Continuous Improvement: Learn to monitor AI systems, measure impact, and manage lifecycle changes.

• Track performance and value
• Manage AI responsibly over time
• Make strategic decisions for long-term AI investments