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course | Certified AI Practitioner

Join the Certified AI Pr... course taught in English – Artificial Intelligence is no longer a specialized domain limited to data scientists or technical teams.…

ICTP-3342 | Certified AI Practitioner

Course Sector : Internationally Certified Training Programs

Duration
Date from
Date to Course Venue Course fees Book a course
5 Days23/11/202627/11/2026Dubai$4,250 Book now
5 Days26/04/202730/04/2027Abu Dhabi$4,250 Book now
5 Days30/08/202703/09/2027Abu Dhabi$4,250 Book now

Course Introduction

Artificial Intelligence is no longer a specialized domain limited to data scientists or technical teams. Today, professionals across business functions are expected to understand AI concepts, evaluate AI use cases, and collaborate effectively in AI-driven initiatives. Organizations need practitioners who can bridge the gap between technology and business value.

 

Developed by BOOST, the Certified AI Practitioner course is designed to provide a strong, practical foundation in artificial intelligence for professionals without requiring deep technical or programming backgrounds. The program focuses on understanding how AI works, where it can be applied, how to assess its value, and how to use AI responsibly within organizational contexts.

 

This course equips participants with the knowledge and confidence to engage in AI projects, support decision-making, communicate effectively with technical teams, and leverage AI tools to enhance productivity and innovation—while maintaining ethical and governance awareness.


Course objective

  • Understand core AI concepts and terminology
  • Identify suitable business use cases for AI applications
  • Evaluate AI opportunities, risks, and limitations
  • Collaborate effectively in AI-enabled initiatives
  • Apply AI responsibly and ethically within organizations

Course audience

Professionals, managers, and business users seeking practical AI knowledge to support decision-making and organizational innovation.


Course Outline | DAY 01

Introduction to Artificial Intelligence and AI Fundamentals

Module 1: AI Concepts and Foundations

 

  • Understanding artificial intelligence and key terminology
  • Difference between AI, machine learning, and automation
  • How AI systems learn and make decisions

 

Module 2: AI Landscape and Capabilities

 

  • Overview of common AI technologies and tools
  • Strengths and limitations of AI applications
  • AI trends and impact on organizations

Course Outline | Day 02

AI Technologies, Data, and Use Case Identification

Module 1: Data and AI Technologies

 

  • Role of data in AI systems
  • Structured vs. unstructured data
  • Data preparation and quality considerations

 

Module 2: Identifying AI Use Cases

 

  • Recognizing business problems suitable for AI
  • Evaluating feasibility and value of AI use cases
  • Prioritizing AI opportunities

Course Outline | Day 04

AI Applications in Business and Operations

Module 1: AI Applications Across Business Functions

 

  • AI in operations, customer service, and HR
  • Predictive, descriptive, and prescriptive applications
  • Improving efficiency and decision-making with AI

 

Module 2: Integrating AI into Business Processes

 

  • Embedding AI into existing workflows
  • Managing human–AI interaction
  • Measuring operational impact

Course Outline | Day 04

AI Ethics, Governance, and Risk Considerations

Module 1: AI Ethics and Responsible Use

 

  • Ethical principles in AI deployment
  • Bias, fairness, and transparency concerns
  • Accountability in AI-driven decisions

 

Module 2: AI Governance and Risk Management

 

  • Governance frameworks for AI initiatives
  • Managing legal, privacy, and compliance risks
  • Monitoring and controlling AI systems

Course Outline | Day 05

Implementing AI Initiatives and Driving Business Value

Module 1: Implementing AI Projects

 

  • Planning and launching AI initiatives
  • Stakeholder alignment and change management
  • Scaling AI solutions responsibly

 

Module 2: Measuring Value and Sustaining AI Impact

 

  • Defining success metrics for AI initiatives
  • Evaluating business value and ROI
  • Continuous improvement and AI maturity growth
Course Certificates
BOOST Logo

BOOST’s Professional Attendance Certificate “BPAC”

BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.

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