Great Learning
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Review Title: A Transformative Learning Experience in Applied Generative AI
Completing the Applied Generative AI program from Johns Hopkins University via Great Learning was both a challenging and deeply rewarding journey for me. Coming in with high anxiety about reaching my goals, I found the mentorship and structure incredibly helpful in building my confidence and staying on track. The program offered a strong foundation in how coding and AI come together to build meaningful, real-world tools. It was exciting to learn how technologies like LangChain, vector databases, and Retrieval-Augmented Generation (RAG) could be used in combination with models like Random Forest and other mini-tools to build smart, functional applications. As someone with a background in both biotech and education, I found the coursework especially relevant. I was able to clearly see how the skills I developed could be applied across different domains — from classroom enhancements to scientific research and automation. While I do wish there had been more conversational or real-time feedback to encourage interactive learning, I recognize the challenges of scaling that. The mentoring I did receive was responsive and meaningful, and the overall structure made space for applied learning and independent growth. In the end, this course didn’t just teach me concepts — it empowered me to start thinking creatively about AI’s potential and how I can use it to help others. I’m looking forward to putting these skills into action in a real-world setting and continuing this journey of innovation.