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Unclaimed ProfileLLM Engineering in Practice with Streamlit and OpenAI, created by the renowned 365 Careers team, provides an excellent launchpad for software engineers and Python developers looking to break into the rapidly growing field of generative AI application development. This course bridges the gap between theoretical machine learning and hands-on software engineering by teaching students how to build and deploy interactive, AI-driven web applications from scratch. By leveraging the simplicity of Streamlit and the immense power of OpenAI's LLMs, learners quickly gain practical experience in designing frontend interfaces that connect seamlessly with sophisticated backend language models. Throughout the curriculum, students delve deeply into practical prompt engineering, learning how to structure, test, and optimize instructions for maximum reliability. The course also addresses critical real-world challenges that production-level AI applications face, including mitigating prompt injections, minimizing hallucinations, and managing scaling bottlenecks. Beyond coding, the training emphasizes architectural planning, showing how to map out complex systems using activity diagrams before writing a single line of code. This holistic approach ensures that developers, product managers, and tech enthusiasts alike can confidently conceptualize, build, and secure modern AI applications ready for real-world deployment.
About the creator
365 Careers
View full profileData Science & Finance · Sofia, Bulgaria

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365 Careers is a premier educational provider specializing in finance, data science, and emerging artificial intelligence technologies. Founded by industry veterans with deep corporate roots—including professional tenures at prestigious global firms like PwC, Coca-Cola European Partners, and Infineon Technologies—365 Careers bridges the gap between academic theory and real-world execution. As the co-founders of the widely acclaimed 365 Data Science platform, the team brings a structured, highly analytical pedagogical framework to every course they design. Their expansive portfolio on AllPros covers foundational corporate strategies, comprehensive CFA preparation, practical financial analysis, and cutting-edge artificial intelligence, including agentic AI and machine learning bootcamps.…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Build interactive and user-friendly web applications using Streamlit and Python.
- Master prompt engineering to design, refine, and test effective prompts for AI applications.
- Gain a solid understanding of the development process for AI-powered applications.
- Learn how to leverage large language models (LLMs) for real-world use cases.
- Understand how to create activity diagrams to plan and map out your application's architecture.
- Learn how to tackle real-world challenges, including prompt injections, hallucinations, and scaling applications.
Best For
- Software engineers and Python developers looking to integrate generative AI into their web projects.
- Tech-focused product managers who want to understand the architectural lifecycle of LLM-based applications.
- Data scientists aiming to bridge the gap between model prototyping and production-ready deployments.
- Developers interested in rapid UI prototyping using the Streamlit framework.
Not For
- Individuals without prior Python programming experience or basic software development knowledge.
- Advanced AI researchers focused on model architecture training or fine-tuning underlying machine learning algorithms.
- Students looking for a deep-dive course on cloud infrastructure management or complex DevOps orchestration.
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