AI – Understanding and Application to Enhance Work Efficiency

In the current context, where AI is gradually becoming an indispensable part of the business environment, simply “knowing about AI” is no longer a competitive advantage - it has become a prerequisite for maintaining productivity and competitiveness. However, many companies - especially Japanese businesses - are still struggling to effectively approach and apply AI in practice.

  1. Understand what AI truly is to avoid misunderstandings or overusing
  2.  Apply AI in practical and meaningful ways to daily work tasks
  3.  Adapt working habits to stay aligned with the demands of the new era.
     

OVERALL

  • Duration:
  • Language:
  • Training venue:
  • Training method:
2 days
Vietnamese
At client's company as required
Active learning through excercises, case study, role play and group discussion etc.

OBJECTIVES

  • Understand the fundamentals and develop the right mindset for applying AI at work. 
  • Learn how to craft effective prompts and utilize AI for everyday tasks.
  • Use AI for data analysis, report generation, planning, and decision-making support.
  • Design a personalized AI system to automate repetitive work processes.
  • Combine AI with human skills to increase speed, reduce errors, and maximize efficiency.

TARGET

 
  • Staffs, managers from various departments, and anyone interested in using AI to work faster, more efficiently, and stay up to date with technology trends.
     

CONTENT

Module 1: AI Basics 

1.1. Classification of AI concepts
1.2. Practical applications of Generative AI
1.3. Key considerations when using AI
1.4. Introduction to common AI tools

Module 2: Basic Prompt Writing Techniques 

2.1. Understanding prompts and their importance
2.2. RTIO Framework
2.3. Language optimization in prompt writing
2.4. Practice writing basic prompts

Module 3: Advanced Prompt Techniques  

3.1. Role-based prompt writing
3.2. Using markdown formatting in prompts
3.3. Practicing advanced prompts

Module 4: Deep Research – Information Search Skills 

4.1. Deep Research features
4.2. How to use Deep Research effectively
4.3. Deep Research practice

Module 5: Data Analysis with AI 

5.1. Types of data that can be analyzed
5.2. Chain-of-thought technique for unstructured data
5.3. Structured data analysis
5.4. Live demo: data analysis
5.5. Practice with big data analysis

Module 6: Report and Presentation Slide Creation 

6.1. Structuring reports logically
6.2. Visualizing data with AI
6.3. Using Gamma to design professional slides
6.4. Practice: Creating a complete report

Module 7: Project Planning and Management 

7.1. Setting objectives using the SMART model
7.2. Allocating resources with the RACI framework
7.3. Prioritizing tasks effectively
7.4. Applying the Self-Consistency technique in planning
7.5. Using project management tools
7.6. Practice: Project planning simulation

Module 8: AI Assistants and Automation 

8.1. Differentiating types of personal AI
8.2. Machine learning techniques for personal AI
8.3. Few-shot learning techniques in prompt engineering
8.4. Designing a personal AI assistant
8.5. Demo: Building a complete AI assistant 

Module 9: Hands-on: Building a Personal AI System 

9.1. Identifying individual needs
9.2. Creating a personal AI assistant
9.3. Testing and optimization
9.4. Sharing and feedback

Participants' feedback

REFERENCES

Download pamphlet from this link!

For the more detail information, please send your request to us here.