Claude Code Bootcamp: Build AI Automation Systems
Data Science Academy
Building AI Systems & Automation
This course is popular
9 people enrolled last week.
Build real AI systems—not just prompts or demos
Most people using AI today are stuck at the prompt level.
They can generate content, answer questions, and experiment—but they struggle to turn AI into something that actually works in the real world. They don’t know how to build systems, automate workflows, or create solutions that can be reused, scaled, or monetized.
That’s the gap this course solves.
This bootcamp is designed to help you move from “using AI” to “engineering AI systems.” Instead of teaching isolated tricks, you’ll learn how to structure automation using a skills-based framework, connect external tools, build interfaces, and orchestrate end-to-end workflows.
You’ll not only understand how Claude Code works—you’ll use it to build real systems like dashboards, automation agents, SEO workflows, and content engines.
By the end of the course, you won’t just have knowledge—you’ll have a repeatable way to turn ideas into working AI systems.
If you’ve ever felt like you’re “playing with AI” but not truly leveraging it, this course will change that.
What you’ll learn
Go from using AI tools to building real automation systems that solve problems and scale in real-world workflows
Design reusable systems using a skills-based framework
Build end-to-end workflows from idea to execution
Apply system thinking to real-world problems
Write markdown-based skills with triggers and steps
Build and reuse skills across multiple workflows
Convert manual tasks into automated systems
Use MCP to connect tools and services dynamically
Call external APIs and integrate outputs into workflows
Avoid context limitations using tool-based execution
Create HTML dashboards and structured UI layouts
Apply basic UI/UX principles for clean design
Build user-facing outputs instead of plain text
Use external documents as memory (NotebookLM-style)
Query structured knowledge for grounded responses
Build systems that rely on facts, not assumptions
Build pipelines (brainstorm → plan → execute)
Use sub-agent thinking for complex tasks
Create production-style automation systems
Learn directly from Data
Data Science Academy
Building real-world AI systems & automation workflows
Who this course is for
Use AI tools but want to build real automation systems instead of relying on prompts
Want to design scalable AI workflows, integrate tools, and build structured systems
Looking to build AI tools, dashboards, and automation systems for business or monetization
What's included
Live sessions
Learn directly from Data Science Academy in a real-time, interactive format.
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.
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
Week 1
Day 1 — Orientation + Big Picture
Day 2 — Claude Code Fundamentals
Day 3 — Skills System (Core Concept)
Day 4 — Environment Setup
Day 5 — Install Skills Pack + First Run
Day 6 — Build Your First Skill
Day 7 — Weekly Build Day (Assignment)
Week 2
Day 8 — MCP (External Tools)
Day 9 — MCP + Skills Integration
Day 10 — Artifacts Builder (UI)
Day 11 — UI/UX Systems
Day 12 — Visualization (Excalidraw)
Day 13 — Claude SEO System
Day 14 — Agent Browser
Schedule
Live sessions
1 hr / week
Async content
3 hrs / week
Hands on Lab
5 hrs / week
Frequently asked questions
$300
USD