• Exposure to Business Intelligence
• Exposure to Data Storage Solutions/Databases

• C-level executives, Senior Level Managers, Department Head, IT Executives

• No. of Questions: 30 Questions
• Duration - 1 hour
• Exam Type - Multiple Choice Questions (MCQ)
• Compulsory Passing Rate - 70%

• Origins of Artificial Intelligence and a brief history of the AI revolution
• The AI landscape
• AI and Digital Transformation
• Artificial Narrow Intelligence vs. Artificial General Intelligence
• Predictive vs. Prescriptive AI

• The role of Big Data
• Cloud Computing and AI
• Mobile Computing and AI

Break (15 min)

• Image Recognition
• Speech Recognition
• Search
• Clustering
• NLP
• Optimization
• Prediction
• Understanding Data – Pattern Recognition

Lunch (60 min)

• Applying the AI framework
• Employee on-boarding
• Invoice processing
• Payments
• Logistics and SCM
• Customer Service and Ticketing
• Robotics
• IoT

Break (15 min)

• Prediction: linear regression, nonparametric regression
• Forecasting: ARIMA and RNN’s.
• Classification: logistic regression, decision trees, SVM’s.
• Clustering: k-means, hierarchical clustering.
• Supervised vs. unsupervised vs. semi-supervised learning.
• Dimension reduction: principal components
• Languages and environments (e.g. R, Python) and standards (PMML).

• Practical and effective visualization: beyond bar charts.
• Finding the unexpected: the role of visualization in exploratory analysis
• Communicating findings: the role of visualization in communicating Data Science outputs.
• Standard tools: R, Tableau, D3

• How AI is enhancing customer engagement
• How AI is optimizing business processes – BPA
• How AI is generating insights – pattern recognition

Break (15 min)

• Aligning AI with Business Strategy
• Understanding your AI ambitions
• Assessing your AI maturity
• Creating your AI heat map
• Developing the AI Business Case
• Understanding Change Management
• Developing your AI Road Map
• Creating your AI Strategy

Lunch (60 min)

• Build vs Buy vs Platform
• Creating your first AI product
• Understanding Data Training and Tuning
• The challenge of poor data and unintended bias
• Becoming over-dependent on AI

• Identify which areas of your business are suitable for AI
• The role of high-level management in enabling AI decisions
• Creating a data-driven business and the infrastructure to deliver it
• The ethics of AI

• Case studies in Manufacturing, Finance and Healthcare
• Future-proofing your Business
• The Next opportunities for AI

• No. of Questions: 30 Questions
• Duration - 1 hour
• Exam Type - Multiple Choice Questions (MCQ)
• Compulsory Passing Rate - 70%

Payment can be made by:

1. Cash or Credit Card or Bank Cheque payable to "สำนักงานพัฒนาวิทยาศาสตร์และเทคโนโลยีแห่งชาติ" (a post-dated cheque is not accepted) on the first day of the service or within the last day of the service.

2. Account transfer and send the proof of the payment (the deposit slip) to email ttd@swpark.or.th

• Withholding tax (3%) is exempt.
• Should you need to withdraw, you must send the notice of the withdrawal in writing no later than 7 working days before the commencement date. The cancellation less than 7 days will be subject to a fine of 40% of the fee.
• Software Park Thailand reserves the rights to cancel courses due to unforeseen circumstances.