Conférence & Séminaire

AI Engineering Training - Half Day to Empower Knowledge Workers with AI

Le 4 décembre 2024 de 08h30 à 12h00 (UTC+7)

FTCC Office, 6th Floor of Alliance Francaise Building, 179 Witthayu Rd, Lumphini, Pathum Wan,, 10330, Bangkok, Thailande

Voir sur la carte

Langue(s) de l'événement
English

Date limite d'inscription : mardi 3 décembre 2024 - 18h00 (UTC+7)

Tarif : FTCC Member: 6,500 THB
Non-Member: 9,500 THB

Cancellation and NO-SHOWS will be charged with invoices unconditionally and are NOT able to receive neither a refund nor credit.

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AI Fundamentals - Beginner to Intermediate Levels (L1&L2) – 3h Training

1. AI Fundamentals - Beginner to Intermediate Levels (L1&L2) – 3h Training

1.1 Introduction

Course Description: 3 hours, 4 chapters, 2 practical exercises

This engaging 3-hour course, divided into 4 insightful chapters and complemented by 2 hands-on, on-site exercises, will take you through the essentials of GPT/GenAI. This course is a blend of theoretical understanding, practical skills, and forward-thinking strategies that will keep you ahead of the curve.

Applicable for: Any individual or corporate interested in improving their skills engaging with Generative AI tools for results at higher quality and efficiency.

1.2 Outline

Chapter 1: Fundamental Principles

Misconceptions: Avoiding misuse of GenAI products, first step of risks mitigation,

Basic Principles: Proper usage of GenAI tools, setting the foundation for the later more complex modules.

Common Scenarios: Learning from actual cases to understand what is considered good use cases

Prompt Engineering:  It’s more complicated than you thought – could be one of the keys to your success.

Chapter 2: Level 1 Prompt engineering

RCFC model: The power of thoughts translated into RCFC framework, a powerful tool not widely explored in other courses.

Positive Examples, Negative Examples: Understand the reason to failures is the first step to success

Practice

Chapter 3: Level 2 Chain of thoughts

CoT: Leveraging LLM’s Strategic analysis competencies

0/1/n shot prompts: Tuning the model without the need for a large amount of data-set

Directional Stimulus Prompting: Guiding the response in a simple way

Practice

Chapter 4: Business Application

Introduction to Integration Business Case: What can be achieved in the mindset of improving the efficiency of a workflow to the overall operation efficiency instead of improving the speed of a singular task at hand

Elements to consider for Corporate Implementations

Risks and Potential of GPT for Enterprise Applications: It requires more strategic thinking and risks regulation by starting from equipping your company with the right mindset and the right people.

2. Key Takeaways

Empowerment of Knowledge Workers: Enhance skills and improve efficiency with comprehensive understanding of Generative AI tools.

Acquiring Future Skills: Stay ahead in the AI landscape with a blend of theoretical knowledge and practical skills.

Demystifying Generative AI: Learn proper usage, risk mitigation, and good use cases to dispel common misconceptions.

Strategic Integration: Improve overall operational efficiency with strategic thinking and risk regulation, preparing for enterprise applications.

3. Company

System in Motion is an Information System Consulting company that focuses on AI Transformation, Integration, Data Boost, Maintenance, and Training.

We always put the customers' needs and the speed of change at the core of everything we do. Technical solutions and original designs come second in that respect. Based on this belief, we continuously provide personalized services and support to help our customers build sustainable and profitable business growth.