At a Glance

Name: Build Your First GenAI Application the Right Way
Price: Free CAD
Rating: 4.4 (33 reviews)
Author: bradley_steinfeld, wilbur_elbouni

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.

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

In this immersive workshop, you’ll embark on an exciting journey into the world of Generative AI. Over the course of this project, you will:

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.

By the end of this project, you’ll have a fully functional, intelligent AI-driven application and the confidence to tackle more complex AI development tasks.

What You’ll Need

To get the most out of this project, you should have:

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

Generative AI is revolutionizing industries by automating complex tasks and providing insights that were previously unattainable. However, building AI applications can seem daunting due to the complexity of AI models and the rapid pace of innovation. This project bridges that gap by offering a structured, hands-on approach to learning how to build AI applications the right way.

You’ll not only learn how to integrate powerful AI models into a web application but also understand the underlying principles that make these models work. By mastering prompt engineering and model evaluation, you’ll be equipped to create applications that are both intelligent and efficient.

Get Started

Don’t let the complexity of AI development hold you back. Join us in this Guided Project to demystify Generative AI and build your first application with confidence. With the skills you’ll acquire, you’ll turn the challenge of navigating the AI landscape into a strategic advantage, keeping your projects ahead of the curve in quality, speed, and cost-effectiveness.

Embark on this hands-on journey today and transform your understanding of AI from theoretical to practical. Let’s build something amazing together!

Offered By: IBMSkillsNetwork

Build Your First GenAI Application the Right Way

At a Glance

A Look at the Project Ahead

What You’ll Need

Why This Project Matters

Get Started

Upskill with exclusive learning resources