100 AI Agents in 100 Days 2026

Last updated on December 30, 2025 8:34 am
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Description

What you’ll learn

  • Build 100 independent, real-world AI agents that solve practical problems across multiple domains.
  • Design autonomous AI systems using decision logic, memory, monitoring, and recovery patterns.
  • Implement ethical guardrails, human-in-the-loop approvals, and safety controls for AI agents.
  • Translate business workflows into deployable AI agents for operations, marketing, HR, and finance.
  • Create production-ready AI agents that are observable, explainable, and resilient.
  • Apply structured agent architectures instead of prompt-only or ad-hoc AI solutions.
  • Build AI agents that learn and improve using feedback and controlled self-improvement loops.
  • Confidently design and deploy custom AI agents without relying on black-box tools.

Disclaimer: This course contains the use of artificial intelligence(AI).

100 AI Agents in 100 Days is a deeply practical, project-driven course designed to take you from basic AI concepts to building production-ready autonomous AI systems—one agent at a time. Instead of focusing on abstract theory or one large capstone, this course is built around 100 independent, real-world AI agent projects, each designed to solve a specific problem you’ll actually encounter in work and business.

Every single day introduces a new, standalone AI agent. That means there are no dependencies between lessons—you can start anywhere, move at your own pace, and revisit projects whenever you want. Whether you’re interested in productivity, content creation, business operations, marketing, finance, engineering, governance, or advanced autonomous systems, this course gives you hands-on experience across the full spectrum of modern agentic AI.

You’ll begin by building practical personal productivity agents such as task prioritizers, email summarizers, habit trackers, and time-blocking planners. From there, you’ll move into writing, research, and analysis agents that generate content, summarize complex information, and extract insights from data. As the course progresses, you’ll build business-focused agents for operations, marketing, HR, legal, finance, and automation—exactly the kinds of systems organizations are actively adopting.

What truly sets this course apart is its focus on real-world readiness. You won’t just learn how to prompt a model. You’ll learn how to design agents with clear decision logic, memory, monitoring, error recovery, human-in-the-loop approvals, ethical guardrails, and governance. By the final days, you’ll be building advanced systems such as multi-agent collaboration frameworks, autonomous decision agents, self-improving agents, and a fully production-ready autonomous AI agent that brings everything together.

This course is intentionally designed to be beginner-friendly while still going deep. No prior AI or machine learning experience is required. Concepts are introduced clearly, step by step, with an emphasis on building and understanding rather than memorization. At the same time, experienced developers, founders, and technical professionals will find strong architectural patterns, system design principles, and real deployment considerations throughout.

By the end of the course, you won’t just have knowledge—you’ll have 100 completed AI agent projects, a strong agentic mindset, and the confidence to design, customize, and deploy AI agents independently. Whether your goal is to advance your career, build AI products, automate workflows, consult for clients, or simply understand where AI is truly headed, this course equips you with skills that are practical, modern, and immediately usable.

This is not a course about AI hype. It’s a course about building AI that actually works.

Who this course is for:

  • Aspiring AI engineers and developers who want hands-on experience building real AI agents.
  • Software engineers and technical professionals looking to move beyond prompts into agentic AI systems.
  • Founders and startup builders who want to automate workflows and build AI-powered products.
  • Product managers and tech leaders seeking practical understanding of autonomous AI systems.
  • Data, operations, and automation professionals who want to apply AI to real business processes.
  • Career switchers and self-learners looking for a structured, project-based path into AI agents.
  • Consultants and freelancers who want to deliver AI agent solutions to clients.
  • Students and lifelong learners interested in building production-ready AI systems, not just theory.

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