IBM AI Courses
IBM AI courses can help you learn how artificial intelligence (AI) models are designed, trained, and applied across different use cases. You can build skills in machine learning workflows, data preparation, model evaluation, and working with AI services offered through IBM’s platforms. Many courses introduce tools such as Python libraries, cloud-based environments, and interfaces that support experimenting with AI techniques and building practical solutions.
Popular IBM AI Courses and Certifications
Status: Free TrialSkills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning
Status: Free TrialSkills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation
Status: NewStatus: Free TrialSkills you'll gain: AI Security, Ansible, Patch Management, MLOps (Machine Learning Operations), Generative AI, Site Reliability Engineering, System Monitoring, Infrastructure as Code (IaC), Incident Management, Problem Management, Continuous Monitoring, IT Automation, Disaster Recovery, Automation, Predictive Analytics
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Clinical Research, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, AI Security, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science
Status: Free TrialSkills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
What brings you to Coursera today?
Status: Free TrialStatus: AI skillsSkills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Generative Model Architectures, Product Development, Innovation, ChatGPT, Product Roadmaps, Usability Testing, Product Planning, Responsible AI, Commercialization, Generative Adversarial Networks (GANs), Artificial Intelligence, Product Strategy, Project Management Life Cycle
Status: Free TrialSkills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Responsive Web Design, Restful API, LLM Application, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science
Status: Free TrialSkills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, Model Context Protocol, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Embeddings, Responsible AI, Software Development
Status: NewStatus: Free TrialSkills you'll gain: AI Orchestration, AI Workflows, LangChain, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Generative AI Agents, Responsible AI, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Design, Prompt Engineering, Large Language Modeling, Context Management, Software Design Patterns, Software Development, Python Programming
Status: Free TrialSkills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Machine Learning Software, Model Deployment, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Robotics, Deep Learning, Data Science
Status: Free TrialSkills you'll gain: AI Product Strategy, Usability Testing, New Product Development, Product Management, Product Lifecycle Management, Agile Software Development, Scrum (Software Development), Product Development, Innovation, Product Roadmaps, Agile Methodology, Responsible AI, Generative AI, Kanban Principles, Product Planning, Product Strategy, ChatGPT, Test Planning, Registration, Leadership
What brings you to Coursera today?
In summary, here are 10 of our most popular ibm ai courses
- Generative AI: Introduction and Applications:Â IBM
- Introduction to Artificial Intelligence (AI):Â IBM
- Automate, Optimize, and Maintain AI Systems:Â Coursera
- Machine Learning and AI Applications in Healthcare:Â Microsoft
- IBM AI Engineering:Â IBM
- IBM Generative AI Engineering:Â IBM
- IBM AI Product Manager:Â IBM
- IBM AI Developer:Â IBM
- IBM RAG and Agentic AI:Â IBM
- Building AI Agents and Agentic Workflows:Â IBM
