Britcham AI Engineering: Empowering Knowledge Workers With Generative AI - March 10th - Shanghai

Britcham AI Engineering: Empowering Knowledge Workers With Generative AI - March 10th - Shanghai

Course 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 DeepSeek, Generative AI. 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 corporation interested in improving their skills by engaging with Generative AI tools for results at higher quality and efficiency.

Chapter 1: Fundamental Principles

• Types of Generative AI: what Generative AI can do, different variants,
• 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
• The Art of Prompt: It’s not complicated with the right framework – this is one of the keys to your success.

Chapter 2: Level 1 The Art of Prompt

• ERCFC 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 with DeepSeek V3

Chapter 3: Level 2 Chain of Thought & Reasoning Models

• Examples: when it is easier to show than to explain
• Chain of Thought: Leveraging LLM’s Strategic analysis competencies
• Reasoning Model: DeepSeek R1, how does it work? Why is it so different?
• Practice with DeepSeek V3 and R1

Chapter 4: Level 5 Integration

• 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
• Prompt Chaining: practical case to use Text, Image, Video, Audio, and Voice AI in one workflow.
• Risks and Potential of Generative AI for Enterprise Applications: It requires more strategic thinking and risk regulation by starting from equipping your company with the right mindset and the right people.

Key Takeaways

• Empowerment of Knowledge Workers: Enhance skills and improve efficiency with a 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.

Don’t miss out on this unique opportunity!