FMCC Training - AI Mastery (L3&L4) - 3H Training

Join us for two engaging training sessions in 2025, each designed to enhance your understanding and practical skills in Generative AI. Whether you're a beginner looking to grasp the fundamentals or an advanced user aiming to master innovative techniques, our courses will equip you with the knowledge and tools to thrive in the AI landscape.

Trainer Introduction:

Mr. Stéphane Monsallier, Founder and CEO of System in Motion, specializes in AI for Strategy and Technology Consulting. An expert in the field, he began coding at the age of 10 and established his Shanghai-based firm after graduating from CentraleSupelec. As a prominent figure in Shanghai's entrepreneurial ecosystem, he actively mentors at Orbit Ventures, advises startups, and has launched the EO Accelerator program, in addition to co-founding La French Tech Shanghai. Currently focused on Generative AI, Stéphane is recognized for his insightful keynotes and mentorship, making him a sought-after speaker in the industry.

Applicable for:

Any individual or corporate interested in further improving their skills engaging with Generative AI tools, who has already attended FMCC L1 & L2 AI Training.

Date: Tuesday, 4 March 2025,9:00 am - 12:30 pm

Venue: Penha Room 2, 17F, Artyzen Grand Lapa Macau

Price:

2025 FMCC Members @MOP1,580 *

Non-members join @MOP1,980 *

* Canapés, coffee and tea included

* Bring your own laptop

Exclusive Bundle Offer for two sessions:

2025 FMCC Members @MOP2,600 *

Non-members join @MOP3,400 *

Special Bundle Offer ends by 20 Feb 2025

Agenda

Chapter 1: Level 3 Advanced Prompt Engineering Techniques

This chapter introduces advanced techniques such as Tree-of-Thought, which helps users utilize Generative AI (GenAI) to navigate complex decision-making by supporting multiple thought processes. It also covers Prompt Chaining, enabling the creation of sequential prompts that guide the AI in generating coherent and relevant text.

Chapter 2: Level 4 Innovative Prompt Engineering Strategies

In this chapter, Reverse Prompting is explored, teaching users how to work backward from desired outcomes to formulate effective prompts. Additionally, Medprompt is presented as a method to enhance the performance of generalist models without specialized training, making it easier to utilize AI effectively.

Chapter 3: Corporate Implementation

This chapter focuses on Knowledge Management, illustrating how organizations can leverage GenAI capabilities alongside their internal information in a cost-effective manner, thereby improving efficiency and decision-making processes.

Chapter 4: Business Applications

The final chapter discusses elements necessary for successful corporate implementation through an Advanced Integration Business Case. It introduces the A.W.E.S.OM methodology, which accelerates AI transformation by addressing infrastructure, skill development, use cases, and strategic roadmaps.

Limited Seats Availability. RSVP before 20 Feb 2025.

Supporting Units