course | Artificial Intelligence Certified Programme
Artificial Intelligence Certified Programme course designed for professionals in Abu Dhabi. Learn, apply, and get certified in artificial intelligence
AI-2540 | Artificial Intelligence Certified Programme
Course Sector : Artificial Intelligence (AI)
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 14/09/2026 | 18/09/2026 | Abu Dhabi | $4,250 | Book now |
| 5 Days | 09/11/2026 | 13/11/2026 | Dubai | $4,250 | Book now |
| 5 Days | 23/11/2026 | 27/11/2026 | London | $4,950 | Book now |
| 5 Days | 07/12/2026 | 11/12/2026 | Amsterdam | $4,950 | Book now |
| 5 Days | 14/03/2027 | 18/03/2027 | Jeddah | $4,250 | Book now |
| 5 Days | 28/06/2027 | 02/07/2027 | Dubai | $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 audience
- Business leaders and digital transformation professionals
- Data analysts, IT professionals, and engineers
- Innovation and R&D managers
- Project managers working on AI and automation initiatives
- Consultants and advisors interested in AI integration
- Government and enterprise professionals leading smart initiatives
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
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.
Since 2001, we’ve been at the forefront of professional training in the Middle East — shaping the future of learning and development one success story at a time. With a vision rooted in innovation and excellence, we help individuals, teams, and organizations reach their highest potential through integrated, future-ready training solutions. Our comprehensive programs combine global best practices with local insights, empowering people to grow, lead, and make a lasting impact in their industries.
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