AI Fundamentals with DeepSeek (L1&L2) – Training

This 3-hour course, with 5 chapters and 2 hands-on exercises, covers DeepSeek Generative AI.

1 AI Fundamentals with DeepSeek (L1&L2) – Training – 3h

1.1 Introduction

Course Description: 3 hours, 5 chapters, 2 practical exercises

This engaging 3-hour course, divided into 5 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 corporate interested in improving their skills engaging with Generative AI tools for results at higher quality and efficiency.

1.2 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: Corporate Implementation

• 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
• 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.

Chapter 4: 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 5: Business Application

• Prompt Chaining: practical case to use Text, Image, Video, Audio, Voice AI in one workflow.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.

Company

System in Motion is a leader in the field of AI education and integration, committed to empowering established companies to seamlessly adopt AI technologies. Our offerings include comprehensive AI training, an AI Accelerator program tailored for existing businesses, and insightful keynotes that elucidate AI’s impact on industry practices. With a foundation built on quality, trust, clarity, leadership, and transformation, System in Motion provides a robust suite of services that prepare businesses for the future of AI. Our proven success stories and authoritative voice make us the preferred partner for companies aiming to innovate and lead in their respective industries. Join us to not only learn about AI but to master it and transform your business operations efficiently and effectively.

Intervenant(s)

Stephane MonsallierCEO of System in Motion

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