1. AI & Generative AI Foundations — 2 Days

• Day 1: Introduction to Artificial Intelligence
• Day 2: Generative AI, LLMs & AI Tools

Practical Lab: Explore and compare different AI tools.

Job Task: Identify AI opportunities in everyday work.

2. ChatGPT Fundamentals — 2 Days

• Day 1: ChatGPT interface, conversations and basic usage
• Day 2: Asking questions, providing context and getting better answers

Practical Lab: Complete multiple everyday tasks using ChatGPT.

Job Task: Complete a workplace task using ChatGPT.

3. Prompt Engineering — 3 Days

• Day 1: Understanding prompts and instructions
• Day 2: Role, context, task, format and constraints
• Day 3: Improving weak prompts

Practical Lab: Create and refine multiple prompts.

Job Task: Create a reusable workplace prompt.

4. AI for Learning & Research — 2 Days

• Day 1: Using AI to understand concepts and create study plans
• Day 2: Research, summarisation and information organisation

Practical Lab: Use AI to learn a new topic.

Job Task: Prepare a structured information report.

5. AI for Office Productivity — 3 Days

• Day 1: Emails, letters, reports and professional communication
• Day 2: Meeting notes, summaries, checklists and planning
• Day 3: AI-assisted office workflows

Practical Lab: Create emails, reports and office documents.

Job Task: Complete a complete office task using AI.

6. AI with Documents & Data — 2 Days

• Day 1: Working with documents, tables and structured information
• Day 2: Data understanding, classification and analysis

Practical Lab: Work with a document and dataset.

Job Task: Convert raw information into a useful business summary.

7. AI for Content & Communication — 2 Days

• Day 1: Content ideas, articles, social media and presentations
• Day 2: Editing, rewriting, summarising and improving content

Practical Lab: Create content for different audiences.

Job Task: Create a communication and content package.

8. AI for Business & Problem Solving — 1 Day

• Topic 1: Identifying repetitive business tasks
• Topic 2: Customer communication
• Topic 3: Marketing and business ideas

Practical Exercise: Solve a real-world business problem using AI.

9. Real-World AI Productivity Project — 2 Days

• Day 1: Identify a practical problem and create an AI workflow
• Day 2: Build, test, improve and present the solution

Practical Lab: Complete an end-to-end AI-assisted task.

Job Task: Create a repeatable AI workflow.

Documentation: Record prompts, process and final output.

10. AI Skills & Career Preparation — 1 Day

• Topic 1: AI skills for modern careers
• Topic 2: AI-assisted workplace productivity
• Topic 3: AI limitations, accuracy and responsible usage

Practical Assessment: Complete a final AI-based practical assignment.

Final: Career readiness and next learning path.

70% Practical Training

AI cannot be learned effectively by simply watching demonstrations. Students need to use AI repeatedly for different situations and real tasks.

This course therefore focuses heavily on hands-on practice. Learners repeatedly use AI for learning, office work, research, communication, content creation and business problem solving.

Our Practical Training Method

• 1. Trainer Demonstration — Trainer demonstrates the task.
• 2. Student Follows — Student performs the same task.
• 3. Repeat Same Task — The same task is repeated with different prompts and examples.
• 4. New Example — Student applies the skill to a different situation.
• 5. Independent Exercise — Student completes the task independently.
• 6. Workplace-Style Task — Student solves a practical workplace problem.

Hands-On Practice Includes

• ChatGPT conversations and practical tasks
• Prompt writing and improvement
• Learning and research
• Emails and professional communication
• Reports and documents
• Summarisation
• Data understanding and analysis
• Content and social media
• Business problem solving
• AI workflow creation
• Job-oriented assignments
• Real-world AI project

Career Opportunities

AI skills can complement modern professions and help employees and professionals become more productive in their existing or future careers.

• AI-Assisted Office Professional
• AI Productivity Executive
• AI Content & Communication Assistant
• AI-Assisted Business Operations
• Junior AI / Generative AI Support Roles

AI Skills Preparation

Learners complete practical assignments and projects instead of focusing only on AI terminology.

The training also teaches learners to verify AI-generated information, understand limitations and use AI responsibly.

Final Practical Assessment

Students will be given a realistic problem and asked to use AI to analyse, plan and produce a useful solution.

The assessment focuses on prompt quality, reasoning, output quality, verification and the learner's ability to use AI independently.

Important Note

AI tools and features change frequently. Therefore, the course focuses on transferable AI skills, practical prompting, problem solving and responsible usage rather than depending on one particular AI tool.