Artificial Intelligence (AI) for Professionals - Virtual Learning
Course Methodology
This training course will utilize various proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes examples of digital transformation strategies, issues and risks related to digital transformation, implementation examples and the tools, techniques as well as tips and tricks of digital transformation implementation.
Course Objectives
At the end of this Artificial Intelligence (AI) for Professionals training course, you will learn to:
- Identify the best analytics strategy for the organization
- Learn the critical time—and opportunity— for change with the use of AI
- Understand the business value of the data analysis and AI implementation
- Implement analysis and scientific decision making, and embed the AI tools in your business
- Adopt the four stages of analytics in organization
Target Audience
This Gulf Rowad Artificial Intelligence (AI) for Professionals training course is suitable for a wide range of professionals but will greatly benefit:
- Inspired leaders or the ones trying to become inspired leaders,
- Managers
- Technical leaders
- Project Managers
- Data Analysts
- Data Scientists
Target Competencies
Organisational Impact
The organizations will create the right high-stakes decisions and invest in supporting Artificial Intelligence tools and organization-wide implementation of Artificial Intelligence, for business unit or division leaders who want to drive results through specific analysis initiatives, and for rising leaders who want to craft strategies and tactics to create real impact by the use of data analysis.
Organizations will greatly benefit from:
- Identifying a path for any leader who wants to gain capability and confidence with analytics and AI.
- Accepting analytics are not just the domain of data scientists or specific departments,
- Understanding that to use analysis and AI effectively in your organization,
- Implement and improve critical thinking skills,
- Lead analysis-driven business initiatives with greater skill and confidence
- Leaders which create organizational culture and structure for data analysis.
Personal Impact
Delegates will therefore acquire a working knowledge of Artificial Inteligence and its implementation within enterprises, which can significantly improve their opportunities in carrier growth and improvement of their working activities and day-to-day work.
Delegates will greatly benefit by:
- Identifying a path for any leader who wants to gain capability and confidence with analytics
- Understand where analysis can add value in organization
- Identify what good analytics are and what to avoid
- Enhancing their capabilities to lead the teams
- Improving their knowledge on data science and project management in the digital world
Course Outline
Artificial Intelligence Essentials
- Data analysis and AI for successful leadership
- AI added value to business and organization
- Discovering patterns in data using analysis
- Successful data analysis and artificial intelligence implementation
- Planning and managing AI projects
Artificial Intelligence and Data Analysis
- The business context of opportunities
- Data architecture for the implementation of artificial intelligence
- Business priorities in dynamic and challenging business environments
- Monitoring for anomalies in data
- Improving data quality through the use of AI
- Respecting diverse perspectives of problem solving
Capabilities Required for Artificial Intelligence
- Effective use of Chat GPT
- Fundamental domain opportunities
- ROI for prioritization, despite missing data
- Supervised and unsupervised learning
- Classification and clustering
- Artificial neural networks
Technology Roadmaps for Artificial Intelligence Use
- Fuzzy set and Fuzzy rules
- Importance of Fuzzy logic
- Real example of Fuzzy controllers
- Deep domain understanding
- Applying initial solutions rapidly
- Development focus
Structure, Process, and Incentive Changes with AI
- Problem-driven and planned up-front analytics
- Regressions, likelihood, distributions
- Data insights
- Root Mean Square Error (RMSE)
- Area Under the Curve (AUC)
- Future strategies and digital transformation
2026 Schedule & Fees
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
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