AI Operating System Bootcamp: OpenClaw, Claude, Clawdbot
Data Science Academy
AI Systems & Agentic AI Expert
Go from using AI tools to building real AI systems that solve problems
Most people today are using AI the wrong way. They rely on prompts, tools, and tutorials without understanding how real AI systems are designed. This leads to shallow skills, limited career growth, and the inability to build anything meaningful or scalable.
The real shift happening in the industry is not just using AI — it’s building AI systems that can plan, act, remember, and automate real-world workflows. Companies are now looking for people who can design agent-based systems, automation pipelines, and intelligent architectures, not just generate outputs.
This course helps you bridge that gap. It takes you from being a passive AI user to an active AI builder by teaching you how to combine agents, memory, tools, and workflows into complete systems.
You won’t just learn concepts — you’ll build real projects like a personal AI operating system and business automation pipelines that reflect real-world use cases.
If you’ve ever felt stuck watching tutorials without real progress, this course gives you a structured path to develop practical, job-ready AI system design skills that are directly aligned with where the industry is heading.
What you’ll learn
Go from AI user to AI systems builder by designing agents, memory, and automation workflows that solve real-world problems
Create structured prompts and agent roles for real-world workflows
Implement multi-step reasoning (plan → act → observe → iterate)
Build agents that handle complex, goal-driven tasks
Design supervisor-worker architectures for task delegation
Enable agents to collaborate and share responsibilities
Orchestrate workflows across multiple agents
Build short-term and long-term memory systems
Use vector search and embeddings for retrieval
Inject memory into agent decision-making
Convert actions into callable tools and functions
Connect AI systems with APIs, databases, and workflows
Build end-to-end automation pipelines
Design event-driven and scheduled AI workflows
Build systems that adapt using feedback loops
Implement long-running, self-improving agents
Develop a personal AI operating system
Build business automation and content pipelines
Create an autonomous research agent system
Learn directly from Data
Data Science Academy
Building real-world AI systems, agents, and automation at scale
Who this course is for
Developers who want to transition into AI and build real-world agent systems, automation pipelines, and scalable AI architectures
Students and beginners seeking a structured path to learn AI by building practical projects, not just watching tutorials
Professionals and founders looking to automate workflows or build AI-powered products and business systems
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 - What is an AI Operating System?
Day 2 - Core Components of AI Systems
Day 3 - Designing Agent Behavior
Day 4 - Multi-Step Agent Thinking
Day 5 - From Single Agent → Multi-Agent
Day 6 - Supervisor & Worker Architectures
Day 7 - Designing Memory in AI Systems
Week 2
Day 8 - Retrieval & Context Injection
Day 9 - Tool Calling & Function Execution
Day 10 -Workflow Automation Systems
Day 11 - Building AI Interfaces
Day 12 - External Integrations
Day 13 - Continuous AI Systems
Day 14 - Feedback Loops & Self-Improvement
Schedule
Live sessions
1 hr / week
Projects
2 hrs / week
Async content
6 hrs / week
Frequently asked questions
$100
USD