AI Fundamentals for Managing Your Project (Big or Small)

3 hours, 5 chapters, 2 practical exercises 

AI Fundamentals for Managing Your Project (Big or Small) 

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 enhancing their project management capabilities by integrating Generative AI tools to achieve 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 more complex modules. 

• Common Scenarios: Learn from real-life project use cases that demonstrate good practices. 

• 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 and Negative Examples: Understanding the root causes of success and failure in prompt-based project scenarios. 

• Practice Exercise 1 – AI-Powered Project Brief Generator: 
  Create a project brief using DeepSeek based on a set of client objectives, constraints, and expected outcomes. 
  Outcome: Understand how to structure prompts to gather clear, actionable plans from AI. 
   

Chapter 3: Corporate Implementation 

• Introduction to Integration Business Case: Improve workflow efficiency and operational success—not just task-level speed. 

• Risks and Potential of Generative AI in Projects: Equip your team with the right mindset and roles to integrate AI responsibly into project management. 
   

Chapter 4: Level 2 – Chain of Thought & Reasoning Models 

• Examples: Use cases from project planning and risk assessment where visual reasoning is more powerful than explanation. 

• Chain of Thought: Leverage LLM’s strategic capabilities to break down complex project problems. 

• Reasoning Model: DeepSeek R1 – how it works and why it's unique. 

• Practice Exercise 2 – Project Risk Mitigation Plan with AI: 
  Use Chain of Thought prompting to identify and mitigate potential risks in a sample project scenario. 
  Outcome: Apply reasoning models to anticipate project challenges and co-design mitigation strategies. 
   

Chapter 5: Business Application 

• Prompt Chaining: A practical case that combines Text, Image, Video, Audio, and Voice AI into a cohesive project workflow. 

Key Takeaways 

• Empowerment of Project Teams: Enhance skills and boost productivity using Generative AI in real project workflows. 

• Acquiring Future Skills: Prepare for tomorrow’s project landscape with theoretical and applied AI knowledge. 

• Demystifying Generative AI: Learn proper usage, risk awareness, and practical benefits for projects of any size. 

• Strategic Integration: Move from AI experimentation to structured integration in your project processes. 

Company 
System in Motion is a leader in AI education and integration, committed to empowering companies to seamlessly adopt and apply AI technologies. Our AI training, AI Accelerator program, and thought leadership keynotes help organizations embed AI into everyday project and operational practices. Built on clarity, leadership, and transformation, we help businesses master AI and reshape their operations with confidence. 

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