AI Engineering Beginner to Intermediate Levels (L1&L2)

Join us for this engaging 3-hour AI training, divided into 4 insightful chapters with hands-on practice sessions. The experts will take you through the heart of GPT / GenAI. A blend of generative AI deep conceptual understanding, practical skills, and forward-thinking strategies, This training promises to keep you ahead of the curve.

Trainer Introduction:

Ms. Jackie Fong, the Partner Trainer at System in Motion, Guest Speaker at FMCC Monthly Breakfast Talk Rendez-Vous May. With a background in IT Strategy Consulting, AI Transformation Consulting, and digital project risk management, she brings expertise in driving organizational success. Ms. Fong is also an active member of the Entrepreneur Organization Executive Forum and a co-founder of SheroUp Academy and SheWorth, promoting workplace wellbeing.

Applicable for:

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

Agenda

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.