Live Class 1: AI Agents Foundation
Topic: What are AI agents? Definition and core concepts | Types of AI agents | Real-world applications and business scope | Current limitations and future possibilities

Live Class 2: APIs & Integration Fundamentals
Topic: What are APIs and why they matter for AI agents | REST APIs, webhooks, and authentication methods | API documentation reading and testing | Rate limiting, error handling, and best practices | API security and key management | Common Integration Challenges: Authentication failures, timeout issues, data format mismatches

মডিউল ১ থেকে মডিউল ২ পর্যন্ত যা যা আলোচনা হয়েছে, সেটার উপর ভিত্তি করে থাকবে একটা বড়সড় এসাইনমেন্ট ও লাইভ টেস্ট। ঝালিয়ে নিতে পারবেন নিজেকে।

Live Class 1: N8N Platform Overview
Topic: N8N introduction and core philosophy | Interface walkthrough and basic concepts | Node types and workflow structure | Data flow and transformation basics | N8N vs traditional automation tools

Live Class 2: Workflow Automation Projects Overview (Without-AI)
Topic: Building your first automation workflow | Trigger nodes | Action nodes: HTTP Request, Email, Database operations | Data manipulation and conditional logic | Error handling and debugging techniques

Assignment: Build Your First Automation Project

Live Class 1: AI Automation Fundamentals
Topic: How AI improved automation | AI Agent Dissection | Decision-making in AI agents | Agent communication and coordination | Tool use and function calling

Live Class 2: LLM Introduction
Topic: Popular LLMs: OpenAI GPT, Claude, Llama, Gemini | Context windows and token management | Vector databases: Purpose, types, and implementation | LLM integration and prompt engineering basics | Memory systems and context management

Live Class 1: Advanced N8N Features & Best Practices
Topic: Sub-workflows and modular design | Data transformation for AI inputs | Error handling in AI workflows | Performance optimization for AI operations | Version Control & Team Collaboration: Workflow backup, change management, team workflows | Integration Challenges: Rate limiting, timeout handling, API failures, retry strategies

Live Class 2: Recap Class

Live Class 1: LLM Usage & Prompt Engineering
Topic: RAG (Retrieval-Augmented Generation) systems | Agent reasoning and planning | Prompt engineering fundamentals and best practices | Prompt structure: System, user, and assistant messages | Few-shot vs zero-shot prompting techniques | Chain-of-thought and reasoning prompts | Handling prompt injection and safety considerations

Live Class 2:N8N AI Integration Walkthrough
Topic: AI-related nodes in N8N | OpenAI, Claude, and other LLM integrations | Vector database connections | Document processing and embeddings | Image and audio processing capabilities

মডিউল ৪ থেকে মডিউল ৬ পর্যন্ত যা যা আলোচনা হয়েছে, সেটার উপর ভিত্তি করে থাকবে একটা বড়সড় এসাইনমেন্ট ও লাইভ টেস্ট। ঝালিয়ে নিতে পারবেন নিজেকে।