Training on Artificial Intelligence for Professionals

As AI technologies mature, professionals across industries must understand not only the underlying algorithms but also how to integrate AI into strategic initiatives, optimize workflows, and manage risks. This course blends strategic insight, technical know-how, and practical frameworks to empower participants to lead and execute AI projects effectively within their organizations.
Participants will gain the tools to evaluate AI opportunities, formulate strategy, liaise with data science teams, and ensure responsible deployment.

Target Participants

This program is tailored for mid- to senior-level professionals, including managers, team leaders, business analysts, and technical specialists, who are responsible for planning, overseeing, or collaborating on AI initiatives.

What You Will Learn

By the end of this course the participants will be able 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

Course Duration

• Classroom-Based: 5 Days
• Online: 7 Days

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

Training Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in their respective fields of practice. The course is taught through a mix of practical activities, presentations, group works and case studies. Training notes and additional reference materials are provided to the participants.

Certification

Upon successful completion of this course, participants will be issued a certificate.

Tailor-Made Course

We can also do this as a tailor-made course to meet organization-wide needs.