Principles of Generative AI

Introduction to Artificial Intelligence: Definitions, Foundations, Scope, and Applications, Implications of AI across industries, Fundamentals of Generative AI: Concept, Evolution, Capabilities, Applications of Generative AI in various domains, Introduction to Generative AI platforms: ChatGPT (OpenAI), Gemini (Google), GitHub Copilot (Microsoft)

Basics of Prompt Engineering, Types of Prompts: Declarative, Interrogative, Instructional, Advanced Prompt Engineering: Chain-of-Thought Prompting, Zero-shot and Few-shot Prompting, Prompt Optimization Techniques, Use Cases and Practical Examples in Coding, Writing, and Customer Interaction

AI in Office Productivity: Email Writing, Report Drafting, Minutes of Meeting (MoM), Proposal Writing, Summarization, and Task Automation:, Generative AI in Education: AI for Content Creation, Summarization, and Explanation, Curriculum Design using AI Tools, AI in Assessment, Feedback, and Visualization (e.g., Mindmaps, Infographics)

Generative AI in Digital Marketing: Content Strategy for YouTube, Facebook, Instagram, X (Twitter), LinkedIn and AI in Professional Branding, Email Marketing Automation and AI in E-Commerce; Generative AI in Healthcare and Agriculture: Diagnosis Assistance, Patient Data Summarisation, Crop Monitoring, Yield Prediction using AI

AI-Assisted Programming (e.g., Code Generation, Auto Debugging using Copilot, GPT-4), Generative AI in Creative Domains: Image & Design Generation (DALL·E, Midjourney), Music Composition with AI Tools; AI in Gaming & Animation (e.g., Scenario Generation, NPC Scripting), Customer Interaction Automation: Chatbots, Virtual Assistants, and Voice AI; Exploration of Popular AI Tools & Platforms: RunwayML, Jasper, Synthesia, Lumen5, Bard, etc.