Develop Generative AI Applications: Get Started
About this course
Get ready to power up your resume with the GenAI development skills employers need. During this course you’ll explore core prompt engineering strategies—like in-context learning and chain-of-thought—and create and manage robust prompt templates. Plus, you’ll follow best practices to handle common errors and experiment with different LLMs and configurations to strengthen your outputs. You’ll then dive deeper into LangChain, mastering chains, tools, and agents to create smarter, more responsive applications. Through interactive labs, you’ll build a complete generative AI app using Python that accepts user input and processes it through your backend prompt logic. Plus, you’ll explore web-based interfaces using tools like Flask and Gradio, developing real-time user experiences powered by LLMs. By the end, you’ll have the job-ready skills and demonstrable practical experience employers look for to design and implement full-stack GenAI apps that solve real-world problems. Sound good? Enroll today!
75/100
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- What the provider tells you
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- Who stands behind it
- 20/35
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Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- core prompt engineering strategies
- creating and managing prompt templates
- building generative AI applications with Python
- developing web interfaces using Flask and Gradio
Course objectives
- to master prompt engineering techniques
- to create user-responsive applications using LLMs
- to gain practical experience in developing full-stack generative AI applications
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