Develop Generative AI Applications: Get Started
By External Provider
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!
What you will learn
- Master the basics of GenAI and the LangChain framework, focusing on how prompt engineering and in-context learning to enhance AI interactions
- Apply prompt templates, chains, and agents to create flexible and context-aware AI applications using LangChain's modular approach
- Develop a GenAI web application with Flask, integrating advanced features such as JSON output parsing for structured AI responses
- Evaluate and compare different language models to select the most suitable for specific use cases, ensuring optimal performance and reliability