AI Training L1-L4 - November 21st AM&PM - CanCham

AI Training L1-L4 - November 21st AM&PM - CanCham

Engineering-Beginner to intermediate level (Nov 21, 09:30-12:30)

This will take you through the essentials of GPT/GenAl, This course is a blend of theoretical understanding, practical skills and forward-thinking strategies that will keep you ahead of the curve.

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

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 project’s 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 (examples): Tuning the model without the need for a large amount of data-set​
• Practice

Chapter 4: Level 5 Business Application (preview)​

• 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.

Al Mastery-Advanced Level (Nov 21, 14:00-17:00)

Al Mastery designs for individuals and corporates interested in improving their skills engaging with Generative Al tools for results at higher quality and efficiency

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

Chapter 1: Level 3 Advanced Text Generation

• Tree-of-Thought: We will explore how GENAI can support multiple thought processes to help you dig deeper into your decision-making process.
• Prompt Chaining: You will understand how to create a series of prompts to guide the AI in generating the desired text.
• Practice

Chapter 2: Advanced Text Generation & Level 1 Image Generation

• Reverse Prompting: This technique will help you understand how to use the end result to generate the necessary prompts.
• Medprompt: enhance the performance of the generalist foundation model without the need for specialized training or reliance on expert-curated content.
• Image Prompting Framework: Explore the elements and framework for image prompting.
• Practice.

Chapter 3: Level 5 Integration (preview)

• Advanced Integration Business Case: What are the elements and preparation work needed for corporate implementation?
• Risks and Potential of GenAI for Enterprise Applications: Evaluate and manage risks in enterprise AI use

Don’t miss out on this unique opportunity!