Agentic AI Mastery: Claude Code, Clawdbot & Beyond
Vivian Aranha
Founder & AI Instructor at School of AI
This course is popular
3 people enrolled last week.
Build Production-Ready AI Agents for the Agentic AI Era
AI is no longer about writing prompts — it’s about building agents that actually do work.
Right now, developers, product leaders, and founders are facing a massive shift. Companies are asking:
“Can you build autonomous workflows?”
“Can you design AI systems with guardrails?”
“Can you reduce cost while increasing automation?”
Most courses still teach theory, toy demos, or isolated tools. But in 2026, the real professional challenge is this:
👉 How do you design, deploy, and govern production-ready AI agents that integrate into real systems?
This course helps you solve that.
You’ll learn how to:
• Architect multi-agent systems
• Implement secure coding agents with guardrails
• Build personal and enterprise automation workflows
• Convert legacy repos into agent-optimized systems
• Design event-driven, observable, cost-tracked AI architectures
Whether you're trying to future-proof your career, lead AI transformation, or launch an AI-native product, this course gives you something employers and clients actually care about: portfolio-ready, real systems — not experiments.
If you feel the industry shifting fast and don’t want to be left behind, this is your bridge from “AI user” to “AI architect.”
What you’ll learn
Master production AI agents and transform from prompt user to AI architect, ready to lead automation and AI-native systems.
Use multi-agent blueprints for real workflows
Create architecture diagrams with guardrails & logging
Compare platform vs DIY decisions with cost analysis
Implement Skills, planning flows & agent roles
Add block-at-submit safety guardrails
Integrate automated test generation pipelines
Build planner, implementer, tester workflows
Apply context forking & compaction strategies
Debug live agent coordination failures
Implement semantic retrieval pipelines
Connect Notion or local knowledge bases
Automate weekly review & sentiment analysis
Trigger agents via Kafka or database events
Implement action logging & observability
Build cost-monitoring dashboards
Build a full capstone from trigger to reporting
Publish GitHub repo + architecture doc
Create demo video & LinkedIn case study
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
Want to move beyond prompts and build production-grade, multi-agent systems.Tech Leaders & Product Managers
Need to design AI workflows, automation strategy, and governance-ready systems.Founders & AI Builders
Looking to launch AI-native tools, SaaS products, or automation services.
What's included
Live sessions
Learn directly from Vivian Aranha in a real-time, interactive format.
10 Hands-On, Production-Grade Projects
Build real agent systems — from secure coding agents to event-driven enterprise workflows — not toy demos.
Claude Code & Clawdbot Deep Mastery
Master Skills, multi-agent roles, memory systems, orchestration, and guardrails for real-world deployments.
Enterprise-Ready Architectures
Design observable, cost-tracked, human-in-loop agent systems aligned with 2026 AI standards.
Portfolio-Ready Deliverables
Graduate with GitHub repos, architecture diagrams, demo videos, and LinkedIn-ready case studies.
Future-Proof Agentic AI Skills
Learn frameworks, platforms, and workflows that position you as an AI architect — not just a prompt user.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.
Schedule
Live sessions
1-2 hrs
Projects
10-15 hrs
Async content
20-25 hrs
$200
USD
4 days left to enroll