MODULE 1: FOUNDATIONS OF MODERN AI
• Introduction to Artificial Intelligence
• Machine Learning & Deep Learning
• Supervised & Unsupervised Learning
• Feature Engineering
• Deep Learning Fundamentals & Architectures

MODULE 2: EVOLUTION OF INTELLIGENCE SYSTEMS
• History and Evolution of AI
• Transformers
• LLM Anatomy
• GPT & Foundation Models

MODULE 3: BUILDING & IMPROVING AI MODELS
• Fine-Tuning
• Prompt Engineering
• Model Customization
• Tokenization
• Context Windows
• Embeddings & Vector Representations

MODULE 4: RETRIEVAL & KNOWLEDGE-AUGMENTED AI
• Introduction to RAG
• RAG Concepts & System Design
• Knowledge Retrieval
• Vector-Based Search & Retrieval

MODULE 5: OPENAI ECOSYSTEM & AI INTEGRATION
• Tool Calling
• Function Integration
• Realtime Models
• AI Application Integration

MODULE 6: MULTIMODAL LARGE LANGUAGE MODELS
• Vision-Based AI
• Audio Processing
• Speech Processing
• Multimodal LLM Applications

MODULE 7: APPLIED GENERATIVE AI FOR DEVELOPERS
• AI Workflows
• Data Preparation
• Building Chatbots with Memory
• AI SaaS Products
• Generative AI Application Development

MODULE 8: AI SECURITY, ETHICS & FUTURE
• LLM Security
• AI Safety
• Privacy & Responsible AI
• Future Trends in AI
• AGI – Artificial General Intelligence
• OpenAI Roadmap & Future of AI