Predictive modeling courses can help you learn statistical techniques, data preprocessing, regression analysis, and time series forecasting. You can build skills in evaluating model performance, feature selection, and interpreting results to make informed predictions. Many courses introduce tools like R, Python, and specialized libraries such as scikit-learn and TensorFlow, that support implementing predictive models and applying AI techniques effectively in various industries.

University of Maryland, College Park
Skills you'll gain: No-Code Development, Application Development, User Experience, User Interface (UI), Data Modeling, Sprint Retrospectives, Platform As A Service (PaaS), Product Lifecycle Management, Service Recovery, Digital Transformation, Application Design, Drive Engagement, Technology Solutions, User Feedback, Cloud-Based Integration, Application Deployment, Customer Engagement, Technical Product Management, System Implementation, Systems Integration
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Security Management, Role-Based Access Control (RBAC)
Intermediate · Course · 1 - 3 Months

KodeKloud
Skills you'll gain: Prompt Engineering, OpenAI, OpenAI API, Responsible AI, Multimodal Prompts, AI Enablement, ChatGPT, Data Ethics, Artificial Intelligence, Generative AI, Tool Calling, AI Workflows, LLM Application, Image Analysis, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Embeddings, Computer Vision, Reinforcement Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: 3D Modeling, Unreal Engine, 3D Assets, Visualization (Computer Graphics), Animations, Computer Graphics, Video Game Development
Advanced · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Embeddings, Data Preprocessing, AI Personalization, Deep Learning, Model Evaluation, Transfer Learning, Model Deployment, Open Source Technology, Data Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems
Beginner · Course · 1 - 3 Months

Skills you'll gain: Risk Management Framework, Risk Analysis, Risk Management, Cybersecurity, Network Security, Incident Response, Cloud Security, Authentications, Business Continuity Planning, Application Security, IT Management, Security Management, Threat Modeling, Computer Security Incident Management, Threat Management, OSI Models, Business Risk Management, Disaster Recovery, Cryptography, Vulnerability Assessments
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Gemini, Model Deployment, Generative AI, Google Gemini, Generative AI Agents, LLM Application, AI Workflows, Tool Calling, Multimodal Prompts, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Google Cloud Platform, Artificial Intelligence, AI Personalization, Performance Tuning, Python Programming, Software Development Tools, Cloud Platforms
Beginner · Course · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: No-Code Development, Application Development, User Experience, User Interface (UI), Data Modeling, Application Design, Cloud-Based Integration, Application Deployment, Automation, Cloud Applications, Salesforce, ServiceNow
Intermediate · Course · 1 - 3 Months

Edureka
Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, LLM Application, AI Enablement, Artificial Intelligence, Application Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Salesforce, Customer Relationship Management, AI Enablement, Responsible AI, Data Ethics, Artificial Intelligence, Customer Data Management, Business Process Automation, Automation, Analytics, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Statistical Methods, Prompt Engineering, Data Science, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Cloud Management, Model Evaluation, Data Management, AI Workflows, Azure Synapse Analytics, Cloud Computing, Data Pipelines, Continuous Monitoring, Machine Learning
Intermediate · Specialization · 1 - 3 Months