Module 1: Introduction to Generative AI
- Definition of Generative AI
- Difference between AI, Machine Learning, Deep Learning, and Generative AI
- How Gen-AI works (Neural Networks, Large Language Models, Diffusion Models)
- Real-world use cases: Text, Image, Video, and Audio generation
Module 2: Core Concepts in Generative AI
- Basics of Natural Language Processing (NLP)
- Large Language Models (LLMs) – GPT, LLaMA, Gemini, etc.
- Fundamentals of Prompt Engineering
- Understanding Tokens, Context Length, and Output Quality
Module 3: Tools & Platforms
- Text Generation: ChatGPT, Claude, Gemini, LLaMA
- Image Generation: DALL·E, MidJourney, Stable Diffusion
- Video Generation: Runway, Pika Labs, OpenAI Sora
- Audio & Music: ElevenLabs, AIVA, Suno
- Code Generation: GitHub Copilot, Replit AI, Code Interpreter
Module 4: Prompt Engineering
- Crafting effective prompts (role-based, instruction-based, creative styles)
- Zero-shot, One-shot, and Few-shot prompting
- Advanced prompting techniques (Chain-of-Thought, Multi-turn Conversations)
- Prompt libraries, frameworks, and best practices
Module 5: Applications of Generative AI
- Business & Marketing: Content writing, ad copies, SEO, email campaigns
- Design & Creativity: Graphic design, branding, UI/UX
- Education: Virtual tutors, personalized learning materials
- Healthcare: Medical report summarization, AI-assisted diagnostics
- E-commerce: Chatbots, product descriptions, personalized recommendations
- Software Development: AI-assisted coding, debugging, and documentation
Module 6: Ethics & Challenges
- Bias and fairness in AI models
- Plagiarism and copyright issues
- Deepfakes and misinformation risks
- Privacy and data protection concerns
- Responsible and ethical use of Gen-AI
Module 7: Advanced Topics
- Fine-tuning and Custom Training of AI Models
- Retrieval-Augmented Generation (RAG)
- Multimodal AI (Text + Image + Audio + Video integration)
- API integrations and building AI-powered applications
Module 8: Future & Career Opportunities
- Future trends: AGI, AI agents, autonomous systems
- Business adoption and enterprise applications
- Careers in Gen-AI: Prompt Engineer, AI Product Manager, AI Specialist
- Certifications and professional pathways
📍 Course Deliverables:
- Prompt Engineering Worksheets
- Hands-on AI Projects (Chatbot, AI Art, Auto-blog Generator)
- Case Studies (E-commerce, Healthcare, Marketing, Education)
- Tool practice with real-world applications