5-Day Agentic AI Bootcamp
Vivian Aranha
Founder & AI Instructor at School of AI
Build Autonomous AI Agents: From LLMs to Multi-Agent Systems in 5 Days
AI is rapidly moving beyond chatbots. The next wave of innovation is agentic AI—autonomous systems that can plan, reason, use tools, and collaborate with other agents to complete complex tasks.
Yet most developers, product managers, and AI practitioners face a critical challenge: they understand large language models, but they don’t know how to turn them into reliable, production-ready AI systems.
This 5-Day Agentic AI Bootcamp bridges that gap.
Instead of focusing only on theory, this hands-on program teaches you how real agentic systems are designed, built, and deployed. You will progressively build autonomous agents that can reason, use tools, store memory, collaborate with other agents, and operate safely in production environments.
By the end of the bootcamp, you will have built a fully autonomous multi-agent AI system—along with the architecture, frameworks, and practical intuition needed to design agentic systems in real-world organizations.
Whether you are an engineer, AI builder, product leader, or technical founder, this course will give you the skills to design the next generation of AI systems.
What you’ll learn
Design and build autonomous AI agents with memory, planning, tools, multi-agent collaboration, and production guardrails.
Understand the Observe → Think → Plan → Act → Reflect lifecycle
Build autonomous agents using structured prompts and control loops
Learn how to architect agents that can reason, plan, and act independently.
Build vector memory using FAISS or Chroma
Implement episodic and semantic memory retrieval
Give agents the ability to remember past tasks and learn over time.
Integrate file systems, APIs, and calculators as tools
Design reasoning vs tool-usage decision prompts
Teach AI agents to interact with external systems and APIs.
Implement manager, specialist, and critic agents
Build structured communication between agents
Design AI teams where specialized agents collaborate to solve problems.
Add logging, observability, rate limits, and timeouts
Deploy agents with FastAPI and Streamlit interfaces
Move from prototypes to real-world systems.
Design a real-world autonomous business agent
Implement memory, tools, planning, collaboration, and guardrails
Complete an end-to-end capstone project.
Learn directly from Vivian
Vivian Aranha
AI architect with 2.2M+ learners, building enterprise-grade agentic systems
Who this course is for
AI Engineers & Developers
Software engineers who want to move beyond LLM APIs & build autonomous agent systems & multi-agent architectures.AI Product Managers & Technical Leaders
Leaders responsible for designing AI products and evaluating when agentic systems should be used.Founders & AI Builders
Entrepreneurs building AI startups who want to create autonomous AI systems instead of simple chatbots.
What's included
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Build Autonomous AI Agents from Scratch
Learn how to design agents that can reason, plan, and act independently using modern LLM frameworks and architectures.
Hands-On Agent Projects Every Day
Each day includes practical labs where you build real agents with memory, tools, workflows, and multi-agent collaboration.
Multi-Agent Systems Architecture
Understand how specialized agents communicate, coordinate, and solve complex problems together.
Production-Ready Deployment
Learn how to deploy agents with APIs, user interfaces, logging, guardrails, and observability.
Capstone: Autonomous Business Agent
Design and deploy a real-world AI agent that can operate autonomously with memory, tools, planning, and safety controls.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
27 lessons • 15 projects
Week 1
DAY 1 — Foundations of Agentic AI
DAY 2 — Memory, Context & Reasoning
DAY 3 — Planning, Toolchains & Workflows
DAY 4 — Multi-Agent Systems & Collaboration
DAY 5 — Production, Governance & Deployment
Schedule
Projects
5-7 hrs
Async content
5-7 hrs
Frequently asked questions
$200
USD
6 days left to enroll