Build Your First AI Agent: End-to-End
Vivian Aranha
Founder & AI Instructor at School of AI
This course is popular
9 people enrolled last week.
Build and Deploy Your First AI Agent — End-to-End in 3 Days
Learn on your schedule with this self-paced course featuring pre-recorded sessions. Enjoy lifetime access, so you can revisit and reinforce your learning whenever needed.
AI is no longer about models—it’s about building agents that can think, act, and deliver real business outcomes. Yet most professionals are stuck in tutorials that stop at prompts or simple chatbots.
The real challenge?
Knowing how to go from “I understand AI” → “I can build a working AI system.”
This course solves that gap.
You’ll learn how to design and build a production-ready AI agent using modern AI engineering practices—combining LLMs, tools, memory, and real-world data into a system that actually works.
Instead of fragmented concepts, you’ll follow a complete end-to-end workflow:
From prompt engineering → agent architecture
From APIs → tool usage → reasoning loops
From static responses → memory + RAG systems
From scripts → deployable applications
By the end, you won’t just understand AI agents—you’ll have built one that you can demo, deploy, and extend.
Perfect for professionals looking to break into AI engineering, build real products, or lead AI initiatives with confidence.
What you’ll learn
Build, deploy, and scale a real AI agent with tools, memory, RAG, UI, and APIs.
Design agent loop: observe → think → act
Implement LLM calls with structured outputs
Create a functional CLI-based agent
Integrate APIs (weather, finance, etc.)
Implement function/tool calling
Build agents that take actions, not just respond
Implement conversation memory
Store and retrieve user context
Build stateful agent experiences
Build embeddings + retrieval pipeline
Chunk and index real documents
Enable grounded, factual responses
Create UI using Streamlit
Display chat + history
Turn scripts into usable apps
Wrap agent with FastAPI
Add logging + evaluation metrics
Implement safety + hallucination controls
Learn directly from Vivian
Vivian Aranha
Industry AI expert turning LLMs into real, deployable applications
Who this course is for
Aspiring AI Engineers who want hands-on experience building real AI systems beyond tutorials
Product Managers & Tech Leaders looking to understand and deploy AI agents in real workflows
Developers & Builders who want to move from APIs to full AI applications with real impact
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 a Real AI Agent (Not Just Theory)
Go beyond prompts and chatbots—build a working AI agent with tools, memory, and reasoning you can demo and deploy.
End-to-End AI System Design
Learn the full stack: LLMs, APIs, RAG, UI, backend, and deployment—structured as a complete system.
Hands-On, Project-Driven Learning
Every concept is tied to a lab. You’ll build your agent step-by-step across the entire course.
Production-Ready Skills
Learn real-world practices: guardrails, logging, evaluation, and deployment—not just prototypes.
Portfolio-Ready Final Project
Walk away with a complete AI agent project you can showcase to employers, clients, or stakeholders.
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
11 lessons • 9 projects
Week 1
Day 1 — Foundations + First Agent
Day 2 — Memory + Real Data + UI
Day 3 — Production Readiness (Optional but HIGH VALUE)
Schedule
Projects
4-6 hrs
Async content
4-6 hrs
Frequently asked questions
$20
USD
2 cohorts