Module-wise Course Content
Module 1: Introduction to Generative AI
• Evolution of Artificial Intelligence
• What is Generative AI?
• AI Use Cases Across Industries
• Foundation Models Overview
• Opportunities and Challenges
Module 2: Understanding Large Language Models (LLMs)
• Introduction to LLMs
• Tokens and Embeddings
• Transformer Architecture
• Attention Mechanisms
• Popular LLM Platforms
Module 3: Prompt Engineering
• Prompt Design Fundamentals
• Zero-Shot Prompting
• Few-Shot Prompting
• Chain-of-Thought Prompting
• Prompt Optimization Techniques
Module 4: AI Content Generation
• Text Generation
• Code Generation
• Image Generation Concepts
• Content Personalization
• AI-Assisted Creativity
Module 5: Building Applications with LLMs
• AI APIs and Integration
• Chatbot Development
• AI Assistants
• Workflow Automation
• Retrieval-Augmented Generation (RAG)
Module 6: Fine-Tuning and Customization
• Model Training Basics
• Fine-Tuning Concepts
• Domain-Specific AI Models
• Knowledge Base Integration
• Performance Optimization
Module 7: Responsible AI and Ethics
• AI Bias and Fairness
• Privacy and Data Protection
• AI Governance
• Hallucinations and Limitations
• Responsible AI Practices
Module 8: Enterprise Applications of Generative AI
• AI in Business Operations
• AI in Education
• AI in Healthcare
• AI for Customer Support
• AI-Powered Productivity Tools
Module 9: Capstone Project
• AI Chatbot Development
• Prompt Engineering Project
• Business AI Assistant Design
• AI Workflow Automation
• Project Presentation
Tools Covered
• ChatGPT
• OpenAI API
• Claude AI
• Google Gemini
• Hugging Face
• LangChain
• LlamaIndex
• Ollama
• Python
• Jupyter Notebook
Offered by: Azraa Institute of Information Technology
Mode: Online | Live Instructor-Led Sessions | Industry-Oriented Projects | Certification Included.
