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Unclaimed ProfileThe 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.
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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
- Understand the fundamentals of Generative AI, including how ChatGPT, LLMs, and modern AI systems work behind the scenes
- Master Prompt Engineering techniques such as role-based prompting, chain-of-thought prompting, and creating reusable prompt templates
- Build a complete AI chatbot from scratch, including environment setup, API integration, and improving response quality
- Work with advanced AI concepts like embeddings, semantic search, and vector databases for real-world applications
- Implement RAG (Retrieval-Augmented Generation) to connect AI models with external data and build smarter, more accurate systems
- Understand and design AI agents, including multi-step reasoning systems and automation workflows
- Apply AI in real-world use cases such as business automation, marketing, customer support, and software development
- Identify limitations, risks, and ethical concerns in AI, including bias, hallucinations, and data privacy
- Gain a clear roadmap to becoming an AI Engineer or AI Specialist, including in-demand skills and career paths
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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