Prompt Engineering

Duration: 4 Weeks
Level: Beginner → Intermediate
Format: Lectures + Hands-on Labs + Real-world Projects

Introduction to AI & Key Concepts

• What is AI? (ML vs. DL vs. Generative AI)
• Types of AI Tools (Text, Image, Code, Voice)
• Ethical AI Use Cases & Limitations
  Tools: ChatGPT, DeepSeek, Gemini
  Activity: Debate on AI ethics

Mastering Prompt Engineering

• Structure of Effective Prompts (Context + Instruction + Examples)
• Zero-shot vs. Few-shot Learning
• Role-based Prompting (e.g., "Act as a...")
  Project: Build a custom chatbot

AI for Content Creation

• Text Generation like Blogs, social media etc. (Claude, Perplexity)
• AI Image Tools (DALL·E, Leonardo, Canva AI)
• Voice Cloning (ElevenLabs, ttsopenai)

Project: Design a marketing campaign with AI-generated assets

AI for Productivity

• Email & Document Assistants (GrammarlyGO, Notion AI)
• Meeting Copilots (Otter.ai, Fireflies)
• Automating Repetitive Tasks (Zapier AI)
  Project: Automate a workflow

AI for Coding & Development

• AI Pair Programming (GitHub Copilot, Codeium)
• Debugging & Code Explanation
• Low-code Tools (Bubble AI)
  Project: Build a simple web app with AI

Data Analysis & Visualization

• AI-powered Excel/Sheets (Formula Bot)
• Predictive Analytics (Tableau GPT)
• Automated Data Cleaning
  Project: Analyze a dataset & generate insights

Advanced Applications

• Custom AI Agents (AutoGPT)
• Multimodal AI (GPT-4 Vision)
• Fine-tuning Models for Specific Tasks
  Capstone Project: Deploy an AI solution for a real-world problem

Future Trends & Career Paths

• AI Regulations (EU AI Act, Copyright Laws)
• Emerging Tools (2025 Predictions)
• Freelancing & AI Jobs
• Final Presentation: Showcase your AI project