Data Science Academy

Generative AI Bootcamp 2026: ChatGPT, LLMs, Prompting

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ChatGPT ยท Online Course

Generative AI Bootcamp 2026: ChatGPT, LLMs, Prompting Reviews & Product Details

The Generative AI Bootcamp 2026 by Data Science Academy offers a comprehensive journey into the rapidly evolving landscape of artificial intelligence. Designed for developers, tech professionals, and forward-thinking creators, this curriculum demystifies large language models (LLMs) like ChatGPT. Students will transition from basic prompt engineering to complex system design. Key topics include advanced prompting techniques like chain-of-thought and role-based structures, enabling learners to extract optimal performance from AI. The course excels in practical implementation, guiding students through building custom AI chatbots, leveraging vector databases for semantic search, and implementing Retrieval-Augmented Generation (RAG) to ground AI models in real-world data. Furthermore, the curriculum tackles state-of-the-art concepts such as multi-agent autonomous systems and ethical AI deployment. By addressing practical challenges like model hallucinations and data security, this program equips learners with the necessary skills to build production-grade AI solutions. Whether your goal is to automate business processes, develop smart applications, or launch a career as an AI Specialist, this bootcamp provides the theoretical foundations and hands-on experience needed to thrive.

Best For

Software developers looking to integrate LLMs into production applications Tech professionals aiming to pivot into AI engineering roles Business analysts interested in automating complex workflows with GenAI Data enthusiasts seeking a technical bridge from prompting to RAG implementation

Not For

Complete beginners looking for a non-technical, high-level overview of AI Individuals seeking a purely creative or artistic exploration of Generative AI Those looking for a coding-free, 'click-and-drag' tool demonstration

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About the Creator

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.

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