Master Claude Code: Build AI Operating Systems & Workflows

Data Science Academy

Data Science Academy 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, including AI agents, intelligent systems, and autonomous operating workflows. By prioritizing clean code architecture, prompt engineering, and agentic AI integration, Data Science Academy courses bridge the gap between academic AI foundations and real-world software engineering. Under his mentorship, thousands of learners globally have mastered how to automate workflows, build smart systems, and orchestrate complex LLM operations to drive tangible business value.