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Category 1: Beginners
Objective: Build foundational knowledge about AI and ChatGPT.
• Target Audience: Individuals with no prior experience in AI.
• Outcomes: Understand the basic concepts of AI and ChatGPT, how it works, and its applications.
Session 1: Introduction to AI and Generative AI
Content Overview:
- What is AI? (Brief history, types, and impact)
- What is Generative AI? (Definition and examples)
- Introduction to ChatGPT (Concept, capabilities, and limitations)
Case Study:
- How AI is transforming industries (e.g., retail and customer service using AI chatbots)
Interactive Questions:
- Define AI in simple terms.
- List three applications of Generative AI in daily life
Summary Questions:
- “Explain Generative AI in two sentences.”
Session 2: Key Components of ChatGPT
Content Overview:
- NLP (Natural Language Processing) basics.
- What are tokens, models, and training data?
- OpenAI’s ChatGPT pipeline overview.
Case Study:
- How ChatGPT handles a customer support query.
Interactive Questions:
- What is NLP? Why is it essential in AI?
- Explain the term “token” in ChatGPT
Summary Questions:
- “Describe the role of training data in ChatGPT’s functionality.”
Session 3: Getting Started with ChatGPT
Content Overview:
- Setting up an OpenAI account.
- nterface walkthrough and using the ChatGPT playground.
- Simple prompts and responses.
Case Study:
- Create a simple conversational assistant for a retail store.
Interactive Questions:
- Try three prompts and analyze the response accuracy.
- What happens when you ask ambiguous questions?
Summary Questions:
- “What makes prompts effective?”
Category 2: Intermediate
Objective: Equip participants to customize and utilize ChatGPT in basic business scenarios.
• Target Audience: Professionals looking to apply ChatGPT to specific tasks.
• Outcomes: Learn prompt engineering and basic API integrations.
Session 1: Advanced Prompt Engineering
Content Overview:
- Refining inputs for more precise outputs.
- Controlling tone and style in ChatGPT.
- Role-playing and multi-turn conversation handling.
Case Study:
- Writing a professional email using tone adjustments
Interactive Questions:
- Provide a prompt that creates a formal business email.
- Rewrite a casual text into professional communication.
Summary Questions:
- “What are the key elements of a refined prompt?”
Session 2: Using ChatGPT in Workplace Automation
Content Overview:
- Applications in content creation, email drafting, and scheduling.
- ChatGPT as a brainstorming assistant.
Case Study:
- Automating social media post creation for a small business.
Interactive Questions:
- Develop prompts for social media captions.
- List tasks where ChatGPT can reduce time
Summary Questions:
- “Describe three business scenarios where ChatGPT can be utilized.”
Session 3: Introduction to APIs
Content Overview:
- Basics of using the OpenAI API.
- Introduction to tools like Zapier for automation.
- Real-world examples (e.g., automated email responses).
Case Study:
- Building a simple chatbot for FAQs using the API.
Interactive Questions:
- Write a basic API request for generating text.
- How does the API differ from the ChatGPT interface?
Summary Questions:
- “Explain how the OpenAI API integrates with a website.”
Category 3: Advanced
Objective: Provide expertise in customizing and scaling ChatGPT for complex tasks.
• Target Audience: Professionals and developers with technical knowledge.
• Outcomes: Advanced customization, integration, and deployment techniques. integrations.
Session 1: Fine-Tuning ChatGPT
Content Overview:
- Fine-tuning basics: Why and when to fine-tune.
- Preparing and curating datasets.
- Running fine-tuning scripts.
Case Study:
- Training a ChatGPT model for a legal firm’s document drafting.
Interactive Questions:
- What kind of datasets are suitable for fine-tuning
- Design a fine-tuning dataset for customer support.
Summary Questions:
- “What are the risks of fine-tuning a model?”
Session 2: Deployment and Scalability
Content Overview:
- Deploying ChatGPT on websites and apps.
- Managing API costs and token usage.
- Scaling solutions for increasing traffic
Case Study:
- Building a multi-user chatbot for a real estate firm.
Interactive Questions:
- Draft a plan for API cost management.
- Suggest ways to scale ChatGPT deployments.
Summary Questions:
- “Explain how API token limits impact deployment.”
Session 3: Ethical Use of ChatGPT
Content Overview:
- Understanding biases and ethical considerations.
- Handling sensitive data securely.
- Compliance with legal frameworks.
Case Study:
- Designing a chatbot for healthcare with privacy in mind.
Interactive Questions:
- List three ethical challenges when using AI.
- Suggest measures to protect sensitive user data.
Summary Questions:
- “Why is ethical AI critical for business?”
Category 4: Expert
Objective: Master ChatGPT for high-level innovation and leadership in AI projects.
• Target Audience: AI professionals, consultants, and business leaders.
• Outcomes: Leadership in AI strategy and advanced AI-driven business transformation.
Session 1: Building AI-Powered Products
Content Overview:
- Identifying market needs for AI solutions.
- Designing AI product pipelines.
- Managing cross-functional AI projects
Case Study:
- Developing an AI-powered HR assistant product.
Interactive Questions:
- Draft a product concept using ChatGPT.
- Identify potential market segments for AI solutions.
Summary Questions:
- “What are key factors in creating AI products?”
Session 2: Advanced Integration Techniques
Content Overview:
- Combining ChatGPT with other AI models (vision, audio).
- Creating AI ecosystems (e.g., combining analytics and chat interfaces).
Case Study:
- Integrating ChatGPT with speech-to-text systems for customer service.
Interactive Questions:
- Propose a multi-modal AI use case.
- Draft an integration flow diagram.
Summary Questions:
- “How does multi-modal AI enhance ChatGPT capabilities?”
Session 3: Leadership and Strategy in AI
Content Overview:
- AI strategy development for organizations.
- Assessing ROI on AI projects.
- Navigating AI-related change management.
Case Study:
- Developing an AI implementation roadmap for an SMB.
Interactive Questions:
- Identify challenges in adopting AI in SMBs.
- Outline a strategic AI plan for business
Summary Questions:
- “What are the critical success factors for AI leadership?”
Skill Assessments
Each category ends with an assessment:
1. Quizzes: 10 questions (5 multiple-choice, 5 short-answer).
2. Case-Based Project: Small tasks requiring application of skills taught.
3. Answer Key and Explanation: Clear answers with rationale
This plan ensures a comprehensive, engaging, and skill-oriented training library that can attract learners
across experience levels and prepare them for certifications and practical applications.