Build Predictive AI solutions using LLM

Master the Art of Designing and Deploying Predictive AI Solutions

👉 Start learning today and gain a competitive edge in AI!

Course Overview

The "Build Predictive AI Solutions using LLM" course offers a comprehensive, hands-on experience for designing, building, and deploying advanced predictive AI solutions. This self-paced course explores the integration of generative techniques (using Large Language Models – LLMs) with predictive modeling, covering the full AI lifecycle from data engineering and feature discovery to AutoML, model evaluation, and deployment.

Through a blend of theory and hands-on practice, you’ll gain deep expertise in building predictive AI models tailored for real-world business scenarios. You will apply your skills in capstone projects focused on practical use cases, such as Health Equity and Loan Approval, where AI-driven solutions have a direct impact on business and social outcomes.

The course also covers the deployment of predictive AI solutions in a Microsoft Azure cloud environment and explores how to integrate predictive AI models with other AI and non-AI technologies. Upon successful completion, you will receive a Credly certification validating your expertise in Predictive AI.

This course equips you with the knowledge and practical experience needed to create high-performing predictive AI models that drive strategic business decisions.

Key Learning Objectives

By the end of this course, you will be able to: ✅ Establish a comprehensive understanding of Generative and Predictive AI – Learn the methodologies behind predictive modeling and how LLMs enhance content creation and forecasting. ✅ Develop a Predictive AI solution – Design and build an end-to-end predictive AI solution as part of your capstone project. ✅ Perform feature discovery and AutoML – Apply advanced feature engineering and automated machine learning techniques to improve model performance. ✅ Deploy predictive models on cloud platforms – Integrate predictive AI models with other AI and non-AI systems, and deploy them in a Microsoft Azure environment. ✅ Solve real-world business challenges – Apply predictive AI techniques to high-impact business scenarios like health equity and loan approvals. ✅ Work individually or in a group – Collaborate with peers or work independently to enhance your learning experience. ✅ Evaluate and improve model accuracy – Learn how to refine and optimize predictive models through iterative testing and feedback.

Who Should Attend

This course is ideal for: ✔️ AI professionals seeking to specialize in predictive AI. ✔️ Data scientists and machine learning engineers looking to expand their expertise in LLM-based solutions. ✔️ AI developers and IT professionals building AI-driven business applications. ✔️ Business analysts and consultants exploring predictive AI for strategic decision-making. ✔️ Product managers developing AI-based products and services.

Prerequisites

To enroll in this course, you must have:

• Completion of Data Science Methodology and Mastering Prompt Engineering using LLM (or equivalent foundational courses).

• Basic understanding of machine learning concepts and AI model development.

• An analytical mindset and willingness to engage with complex AI challenges.

Expected Outcome

Upon successful completion of the course, you will: ✅ Gain expertise in both generative and predictive AI principles. ✅ Develop a working predictive AI model using LLM and AutoML techniques. ✅ Build and deploy predictive AI models in a cloud environment (Microsoft Azure). ✅ Solve real-world business challenges using predictive AI solutions. ✅ Collaborate and work effectively in team-based AI development projects. ✅ Receive a Credly certification in Predictive AI Solutions from the Applied AI Institute (AAII).