Agentic AI by @swati_goyal_911 | QuizMaker
Agentic AI focuses on building intelligent systems that can plan, decide, and act autonomously to achieve goals. This category covers the concepts, design patterns, and real-world practices behind AI agents — from single-task agents to multi-step, tool-using, and self-improving systems.
- Lessons
- 30
- Topics
- 1
- Access
- Free
Course overview
Agentic AI focuses on building intelligent systems that can plan, decide, and act autonomously to achieve goals. This category covers the concepts, design patterns, and real-world practices behind AI agents — from single-task agents to multi-step, tool-using, and self-improving systems.
About the creator
swati goyal: Btech from NIT KKR | CS-1 at Adobe | SDE-3 at Phonepe | Interviewer at Interview Vector | SDE2 MEESHO | SENIOR SOFTWARE ENGINEER Arcesium | SDE DINEOUT (Times Internet) | B.Tech in ECE from NIT Kurukshetra | Volunteered in CodeChef Competitive Programming Basic Workshop
Topics covered
- 🤖 30 Days of Agentic AI (With Practical Usage)
Course content
- Day 1: What is Agentic AI? - 5 min read - Free
- Day 2: LLM vs Agent – What’s the Real Difference? - 5 min read - Free
- Day 3 – Core Components Of An AI Agent - 4 min read - Free
- Day 4 – What Makes An Agent “autonomous”? - 4 min read - Free
- Day 5 – Agentic AI Vs Traditional Automation (rpa) - 4 min read - Free
- Day 6 – Real-world Agentic AI Use Cases (2026 Snapshot) - 4 min read - Free
- Day 7 – Popular Agent Frameworks (lang Graph, Crew AI, Auto Gen) - 4 min read - Free
- Day 8 – Planning In Agents (re Act, Plan-and-execute) - 4 min read - Free
- Day 9 – Tool Calling Explained (apis, Databases, Browsers) - 4 min read - Free
- Day 10 – Memory In Agents (short-term Vs Long-term) - 3 min read - Free
- Day 11 – Multi-step Reasoning & Task Decomposition - 3 min read - Free
- Day 12 – Reflection & Self-correction In Agents - 3 min read - Free
- Day 13 – Single-agent Vs Multi-agent Systems - 3 min read - Free
- Day 14 – When Not To Use Agentic Ai - 4 min read - Free
- Day 15 – Building Your First Simple Ai Agent - 4 min read - Free
- Day 16 – Designing Agent Prompts That Actually Work - 3 min read - Free
- Day 17 – Using Agents For Data Analysis Tasks - 3 min read - Free
- Day 18 – Agentic AI For Software Development - 4 min read - Free
- Day 19 – Customer Support Agents (tickets → Resolution) - 4 min read - Free
- Day 20 – Research Agents (web Search + Summarization) - 4 min read - Free
- Day 21 – Agent Failure Modes & Debugging Techniques - 5 min read - Free
- Day 22 – Multi-agent Collaboration (manager–worker Model) - 4 min read - Free
- Day 23 – Agentic Ai In Product Management - 4 min read - Free
- Day 24 – Agentic AI In Dev Ops & Mlops - 4 min read - Free
- Day 25: Security & Guardrails for AI Agents 🔐🛡️ - 4 min read - Free
- Day 26 – Cost Optimization In Agentic Systems - 4 min read - Free
- Day 27 – Evaluating Agent Performance (metrics That Matter) - 4 min read - Free
- Day 28 – Agentic AI Vs AI Workflows (2026 Perspective) - 3 min read - Free
- Day 29 – Future Of Work With Agentic AI - 3 min read - Free
- Day 30 – How To Start A Career In Agentic AI (roadmap) - 3 min read - Free
Access
- 30 lessons
- Free
- Created by @swati_goyal_911