ICC DeepSeek AI Fundamentals(L1&L2) - 3H Training

ICC DeepSeek AI Fundamentals(L1&L2) - 3H Training

This enlightening program, organised by System in Motion will take you through the essentials of DeepSeek, Generative AI, blending theoretical understanding, practical skills, and forward-thinking strategies that will keep you ahead of the curve.

Course Highlights:

• Target Audience: Beginners to intermediate learners
• Duration: 3 hours
• Structure: 4 comprehensive chapters
• Practical Experience: 2 hands-on exercises

Applicable for:

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

Outline

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: 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 singular task at hand.
• Prompt Chaining: practical case to use Text, Image, Video, Audio, Voice AI in one workflow.
• Risks and Potential of generative AI 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.

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.

Don’t miss out on this unique opportunity!