Agentic AI for Beginner: Build AI Agents From Scratch

Agentic AI for Beginner: Build AI Agents From Scratch, curated by Aman Kumar, is an introductory yet comprehensive masterclass designed to bridge the gap between basic Python programming and the cutting-edge world of autonomous AI systems. This course addresses a rapidly growing demand in the tech industry: the shift from static LLM prompts to dynamic, goal-oriented AI agents that can reason, plan, execute tasks, and learn from their environments. Throughout this educational journey, students will explore the core architectural building blocks of agentic design, including reasoning loops, tool integration, and memory management. Starting with foundational Python concepts, the curriculum gently guides learners through constructing single-purpose agents before escalating to complex multi-agent frameworks where digital entities collaborate to solve intricate problems. Students will gain practical hands-on experience by implementing industry-standard design patterns, deploying their autonomous workflows to cloud environments, and incorporating robust guardrails to ensure safety, predictability, and ethical alignment. Whether you are a software developer seeking to transition into artificial intelligence, a tech enthusiast curious about autonomous systems, or a product manager looking to understand the technical feasibility of AI-driven automation, this course provides the structural framework and practical coding exercises necessary to successfully architect the next generation of intelligent software systems.