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course | Artificial Intelligence Certified Programme

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DIGTR-2540 | Artificial Intelligence Certified Programme

Course Sector : Digital Transformation and Innovation

Duration
Date from
Date to Course Venue Course fees Book a course
5 Days2025-06-162025-06-20Dubai$4,250 Book now
5 Days2025-11-032025-11-07Dubai$4,250 Book now
5 Days2025-09-082025-09-12Abu Dhabi$4,250 Book now

Course Introduction

The Artificial Intelligence Certified Programme is a comprehensive five-day course designed to provide professionals with a strong foundation in AI technologies, strategies, and applications. This program combines technical understanding with business integration, enabling participants to lead AI-driven innovation in their organizations.

Through hands-on labs, practical use cases, and real-world discussions, participants will explore core AI technologies such as machine learning, natural language processing, computer vision, and intelligent automation. They will also gain insight into ethical considerations, governance, data readiness, and how to design and manage AI projects that align with organizational strategy.

By the end of the course, participants will be equipped to confidently contribute to or lead AI initiatives, regardless of their technical background. This program is suitable for business leaders, analysts, technical professionals, and anyone responsible for digital transformation or innovation.


Course objective

  • Understand the fundamentals of artificial intelligence and machine learning
  • Differentiate between key AI technologies and their business applications
  • Evaluate the readiness of data infrastructure to support AI models
  • Design and manage AI projects using practical frameworks and lifecycle models
  • Explore the ethical and legal implications of AI deployments
  • Build strategic roadmaps for implementing AI at scale in the enterprise
  • Apply AI tools and platforms for real-world problem-solving

Course Outline | DAY 01

Introduction to Artificial Intelligence and Intelligent Systems

  • The AI landscape: definitions, history, and evolution
  • Overview of intelligent systems and human-machine interaction
  • AI in business: use cases and industry disruptions
  • AI vs. automation: what’s the difference?

Course Outline | Day 02

Machine Learning and Data-Driven Intelligence

  • Introduction to machine learning: supervised, unsupervised, and reinforcement learning
  • Key algorithms: decision trees, regression, clustering, neural networks
  • Data preparation and feature engineering basics
  • Understanding model training, validation, and bias
  • Building blocks of predictive analytics
 

Course Outline | Day 03

Natural Language Processing, Computer Vision, and Generative AI

  • Fundamentals of NLP: sentiment analysis, text classification, chatbots
  • Computer vision: object detection, facial recognition, image classification
  • Generative AI overview: large language models and prompt engineering
  • AI tools and platforms: OpenAI, Azure, TensorFlow, Hugging Face
  • Ethical considerations and hallucinations in generative models
 

Course Outline | Day 04

AI Strategy, Governance, and Ethical Deployment

  • Designing an AI strategy and roadmap
  • Evaluating data governance and model risk
  • Regulatory frameworks and responsible AI principles
  • Organizational challenges in AI implementation
  • AI maturity models and change management for adoption
 

Course Outline | Day 05

AI Project Planning, Integration, and Certification

  • The AI project lifecycle: from ideation to deployment
  • Building AI capability: team roles, skill sets, and infrastructure
  • Integrating AI with existing business systems
  • Measurement and ROI of AI initiatives
 
Course Certificates
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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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