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Unclaimed ProfileThis masterclass by the Data Science Academy provides a comprehensive deep-dive into Anthropic’s Claude Code, empowering developers and architects to build cutting-edge AI Operating Systems and autonomous agentic workflows. As organizations transition from basic chat prompts to complex, multi-agent systems, mastering Claude's precise reasoning capabilities becomes a critical skill. Students will explore how to design structured automation pipelines that handle real-world challenges, moving from raw inputs to validated, executed decisions with reliable checkpoints. The course covers essential architecture patterns, including task delegation, subagent coordination, and secure system boundaries to prevent runaway automation. Beyond theoretical concepts, you will build practical, enterprise-grade tools like automated product managers, research analyst bots, and devops assistants. The curriculum also focuses heavily on security, risk mitigation, and compliance frameworks, ensuring that the deployed AI solutions are both highly productive and safe for production environments. This training is ideal for software engineers, solution architects, and technical leaders aiming to pioneer the next wave of agentic AI automation inside their businesses.
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Data Science Academy
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Muhammad Usman Mallick, representing the Data Science Academy, is an expert educator and technical practitioner specializing in cutting-edge artificial intelligence, generative models, and advanced automated workflows. With a deep commitment to demystifying complex technologies, Muhammad guides students through the practical aspects of modern AI development. His training programs focus heavily on immediate application, taking learners beyond theoretical machine learning concepts into hands-on implementation of technologies like Claude Code, Model Context Protocol (MCP) systems, OpenAI, and Anthropic APIs. Muhammad's teaching philosophy revolves around project-based execution. He designs his curriculum to ensure that engineers, developers, and tech enthusiasts can build concrete tools,…Show more
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Program Overview
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Learning format
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What You'll Learn
- Design and build a complete AI Operating System using Claude Code for personal or enterprise workflows.
- Architect structured automation pipelines that move from input to execution with checkpoints and validation.
- Implement multi-agent orchestration systems, including task delegation and subagent coordination.
- Apply advanced prompting strategies such as structured prompting, role-based prompting, and iterative refinement.
- Build real-world workflows such as AI Product Manager, Research Analyst, DevOps Assistant, and Knowledge OS systems.
- Design secure and governed AI environments using access control, change management, and risk mitigation frameworks.
- Measure and optimize AI performance using productivity metrics, ROI tracking, and workflow impact analysis.
- Scale AI systems responsibly while preventing conflicts, duplication, and runaway automation.
Best For
- Software engineers and architects looking to build autonomous agentic workflows using Claude Code.
- Technical leads tasked with integrating multi-agent AI systems into existing enterprise production environments.
- Developers aiming to transition from simple chat prompts to robust, reliable AI-driven operating systems.
- System designers focused on implementing secure, governed, and scalable automation pipelines.
Not For
- Absolute beginners with no experience in software development, programming, or terminal environments.
- Individuals looking for basic prompt engineering tutorials for simple chat interactions.
- People seeking high-level AI theory without practical, hands-on implementation of complex systems.
- Professionals who do not work with, or have no interest in, automation, DevOps, or system architecture.
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