Offered By: IBMSkillsNetwork
Build Your First GenAI Application the Right Way
Learn to leverage the ibm-watsonx-ai library to interact with LLMs like Llama 4, Granite, and Mistral. 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.
Continue readingGuided Project
Artificial Intelligence
1.55k+ EnrolledAt a Glance
Learn to leverage the ibm-watsonx-ai library to interact with LLMs like Llama 4, Granite, and Mistral. 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.
Have you ever wanted to build a Generative AI application but felt overwhelmed by the plethora of tools, models, and best practices? You’re not alone. With the rapid advancement of AI technologies, knowing where to start—and how to do it right—can be challenging. This Guided Project is designed to demystify the process, providing you with hands-on experience and expert guidance to build your first GenAI application effectively.
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 4, Granite, and Mistral, 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
Get Started
Estimated Effort
90 Minutes
Level
Beginner
Skills You Will Learn
Artificial Intelligence, Generative AI, LLM, Python
Language
English
Course Code
GPXX0YALEN