Course Contents

• Introduction to Artificial Intelligence (Al), Large Language Models (LLMs), and Agentic Al
• Al Landscape - Machine Learning, Deep Learning, Natural Language Process, Generative Al
• How LLM Works - Tokenization, Embedding, Context Window and Hallucination
• Retrieval - Augmented Generation (RAG), Vector Databases and Loops
• Overview of Claude, Kimi, Agent Swarm Technology and Open Source Models
• Claude - Advanced Capabilities and Model Context Protocol (MCP)
• APIs - Integration, Authentication, and Real-World Applications
• Website Design with No Code Tools
• Al Agent Architecture - Perception, Reasoning, and Autonomous Action
• Conversational Al - Ruled Based and A Powered Chatbot
• No-Code Al Agents Automation Tool - n8n
• Multi-Agent System Design and Orchestration
• Voice Agent Development
• Industry perspective: Agentic Al Security; Use of Al in Industries
• Strategy to Integrate Agentic Al in Your Business