Building AI Agents from Scratch Tutorial Series (AI Era Edition) in 30 d

Building AI Agents from Scratch Tutorial Series (AI Era Edition) in 30 days.( If interested say hi 👋) Master modern AI agent engineering by building production-ready autonomous AI systems from the ground up. 1. Day 1: What Are AI Agents? – LLMs, Agents, Workflows, and Autonomous Systems Project: Build your first AI chatbot agent. 2. Day 2: Setting Up the Development Environment – Python, VS Code, APIs, and Virtual Environments Project: Configure a complete AI agent development workspace. 3. Day 3: Understanding Large Language Models (LLMs) – Prompting, Tokens, Context Windows, and Reasoning Project: Connect your application to an LLM API. 4. Day 4: Prompt Engineering for AI Agents – System Prompts, Instructions, and Few-Shot Learning Project: Build a prompt-driven coding assistant. 5. Day 5: Agent Architecture – Planning, Reasoning, Memory, and Actions Project: Design a reusable AI agent framework. 6. Day 6: Building an Agent Loop – Observe, Think, Plan, Act, and Reflect Project: Create an autonomous task execution agent. 7. Day 7: Tool Calling and Function Calling Project: Build an AI agent that uses weather and calculator tools. 8. Day 8: Memory Systems – Short-Term, Long-Term, and Vector Memory Project: Create an AI assistant that remembers previous conversations. 9. Day 9: Retrieval-Augmented Generation (RAG) Fundamentals Project: Build a PDF question-answering agent. 10. Day 10: Embeddings and Vector Databases – FAISS, ChromaDB, and Pinecone Project: Create a searchable knowledge base. 11. Day 11: AI Agent Planning Strategies – ReAct, Chain-of-Thought, and Tree of Thoughts Project: Build a reasoning-based planning agent. 12. Day 12: Multi-Step Workflows and Task Decomposition Project: Build an AI research assistant. 13. Day 13: AI Agents with MCP (Model Context Protocol) Project: Connect an AI agent to external developer tools using MCP. 14. Day 14: AI Agents with LangChain Project: Build a document analysis agent. 15. Day 15: AI Agents with LangGraph Project: Build a stateful multi-step AI workflow. 16. Day 16: AI Agents with OpenAI Agents SDK Project: Create a customer support AI agent. 17. Day 17: Browser Automation Agents Project: Build an AI web automation assistant. 18. Day 18: Computer Use Agents Project: Create an AI agent that automates desktop tasks. 19. Day 19: Coding Agents and Software Engineering Assistants Project: Build an AI code review assistant. 20. Day 20: AI Agents with APIs and Databases Project: Build an AI-powered CRM assistant. 21. Day 21: Multi-Agent Systems – Collaboration and Communication Project: Build a team of specialized AI agents. 22. Day 22: AI Agent Security, Guardrails, and Safety Project: Secure an AI agent against prompt injection. 23. Day 23: AI Agent Evaluation and Benchmarking Project: Build an automated testing framework for agents. 24. Day 24: Voice AI Agents – Speech-to-Text and Text-to-Speech Project: Build a voice assistant. 25. Day 25: Vision AI Agents – Image Understanding and Multimodal Models Project: Build an AI image analysis assistant. 26. Day 26: AI Agents with Local Models – Ollama, LM Studio, and Open-Source LLMs Project: Run an offline AI agent locally. 27. Day 27: Deploying AI Agents – Docker, Cloud, CI/CD, and Monitoring Project: Deploy a production-ready AI agent. 28. Day 28: AI SaaS Architecture – Authentication, Billing, and User Management Project: Build an AI Agent SaaS platform. 29. Day 29: Scaling AI Agents – Performance, Cost Optimization, Caching, and Observability Project: Optimize an enterprise AI agent deployment. 30. Day 30: Final Capstone Project – Build a Production-Ready AI Agent Platform with Memory, RAG, MCP, Tool Calling, Multi-Agent Collaboration, Authentication, Docker Deployment, Monitoring, and Cloud Hosting. Grab the Building AI Agents from Scratch Ebook: #AIAgents #AgenticAI #LLM #ArtificialIntelligence Follow @e_opore to learn more.