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).