Course Overview
This 1-day program introduces Artificial Intelligence (AI) as a practical enabler for technical and managerial functions. Participants will gain foundational knowledge of AI, experience hands-on exercises with popular AI-powered tools, and discover how to apply AI in engineering workflows and executive-level strategies. The course also highlights ethical, legal, and governance aspects to ensure responsible adoption.
Course Objective
After completing the training program, you should be able to:
- Understand AI fundamentals and its strategic impact on industries.
- Apply AI-powered tools to enhance engineering workflows and business processes.
- Use AI for data-driven insights in technical analysis and executive reporting.
- Improve productivity through AI-enabled task, project, and document management.
- Explore workflow automation for operational efficiency and organizational effectiveness.
- Recognize ethical, legal, and governance challenges in adopting AI.
- Assess the return on investment (ROI) of AI initiatives for technical and business functions.
Target Audience
- Engineers who want to integrate AI into problem-solving, data handling, and project workflows.
- Executives / Managers seeking to understand AI’s role in productivity, decision-making, and strategic competitiveness.
- Organizations preparing to adopt AI for both operational and leadership levels.
Course Duration
This course runs for one (1) day.
Methodology
- Interactive Lecture
- Slides and Demonstrations
- Case Studies (technical and business scenarios)
- Hands-on Labs with AI tools
- Group Discussion and Q&A
Course Outline
- Definition and evolution of Artificial Intelligence.
- Differences between AI, Machine Learning, and Deep Learning.
- Key terminology and learning paradigms.
- Engineer focus: Applications in simulations, predictive maintenance, and process optimization.
- Executive focus: AI as a business driver, digital transformation, and competitive advantage.
- Introduction to user-friendly AI tools (e.g., ChatGPT, Claude, Copilot).
- Basics of prompt engineering and effective usage.
- Engineer focus: Drafting technical documentation, troubleshooting guides, and system checklists.
- Executive focus: Summarizing reports, drafting executive communication, and preparing presentations.
- Hands-on exercise: creating technical and management outputs with AI tools.
- AI in task scheduling and project management.
- AI features in common workplace applications.
- Engineer focus: Integration with Jira, Trello, or DevOps tools for workflow optimization.
- Executive focus: AI dashboards for decision-making, team collaboration, and productivity insights.
- Hands-on exercise: Using AI for real-time productivity support.
- Introduction to AI for data interpretation.
- Engineer focus: Pattern detection, predictive analytics, and technical data visualization.
- Executive focus: Transforming raw data into business insights, risk assessment, and forecasting.
- Hands-on exercise: AI-assisted analysis of sample technical and business datasets.
- AI-powered document search and retrieval.
- Engineer focus: Accessing technical standards, engineering archives, and compliance documents.
- Executive focus: Automating report generation, knowledge sharing, and compliance tracking.
- Document security and best practices for AI adoption.
- AI for project, communication, and inbox management.
- Engineer focus: Automating testing, monitoring, and reporting workflows.
- Executive focus: Automating approvals, reminders, CRM, and follow-up tasks.
- Hands-on exercise: setting up simple automation flows using AI-enabled tools.
- Data privacy, security, and compliance issues.
- Guidelines for safe and responsible AI adoption.
- Engineer focus: Avoiding bias in technical data and ensuring safe automation.
- Executive focus: Governance frameworks, corporate AI policies, and social impact.
Itinerary
Time | Day 1: Description |
08:30 AM – 09:00 AM | Participants attendance |
09:00 AM – 10:30 AM | Module 1: AI Fundamentals for Engineers and Executives |
10:30 AM – 10:45 AM | Morning Tea Break |
10:45 PM – 12:30 PM | Module 2: Essential AI Tools Module 3: AI-Powered Productivity |
12:30 PM – 01:30 PM | Lunch Break |
01:30 PM – 03:30 PM | Module 4: Data Analysis with AI Module 5: Smart Document and Knowledge Management |
03:30 PM – 03:45 PM | Afternoon Tea Break |
03:45 PM – 05:00 PM | Module 6: Workflow Automation with AI Module 7: Ethical and Responsible AI Usage |
05:00 PM | End of Day 1 |
