Build Your First GenAI Application the Right Way
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Build your first GenAI application with step-by-step guidance. Learn to design and implement powerful AI applications using the latest generative AI technologies.
At a Glance
Learn to leverage the ibm-watsonx-ai library to interact with LLMs like Llama 3.2, Granite, and Mixtral. Implement JSON with LangChain for structured AI outputs, apply prompt engineering techniques, and compare different AI models. Enhance your application with modular, reusable code, and transform your development skills by creating intelligent, AI-driven applications. Whether you’re a beginner or looking to refine your skills, this Guided Project equips you with essential tools and expert tips to accelerate your project from concept to completion.
A Look at the Project Ahead
- Develop a Flask web application integrated with AI capabilities, laying a solid foundation for future AI projects.
- Leverage the ibm-watsonx-ai library to interact with advanced language models like Llama 3.2, Granite, and Mixtral, gaining practical experience with cutting-edge AI technology.
- Implement LangChain’s JsonOutputParser for structured AI outputs, ensuring your application can handle and utilize AI responses effectively.
- Apply prompt engineering techniques to generate actionable JSON responses, enhancing the reliability and usefulness of AI outputs.
- Compare and evaluate different language models to understand their strengths, weaknesses, and best use cases.
- Enhance your application with modular, reusable code, following best practices that make your development process more efficient and scalable.
What You’ll Need
- Basic programming knowledge, preferably in Python, as we’ll work extensively with Python code.
- A modern web browser like Chrome, Edge, Firefox, or Safari. The IBM Skills Network Labs environment we’ll use comes pre-configured with the necessary tools and libraries, saving you time and setup hassle.
Why This Project Matters
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