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
Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, AI literacy, Natural Language Processing, Robotics, Risk Mitigation
Skills you'll gain: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Prompt Engineering Tools, LLM Application, Keras (Neural Network Library), Responsible AI, Vector Databases, Fine-tuning, Programming Principles
Skills you'll gain: Generative AI, Generative Model Architectures, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis
Skills 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, Product Planning, Responsible AI, Commercialization, Generative Adversarial Networks (GANs), Artificial Intelligence, Product Strategy, Project Management Life Cycle, Product Design
Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Prompt Engineering Tools, Vision Transformer (ViT), Keras (Neural Network Library), Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Prompt Patterns, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, AI Security, Generative AI Agents, Vector Databases, OpenAI API, AI Integrations, Software Development
What brings you to Coursera today?
Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Computer Vision, LangChain, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, AI Workflows, Programming Principles, Python Programming, Software Development, Machine Learning, Data Science
Skills 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, AI Integrations, Prompt Engineering, Large Language Modeling, Software Design Patterns, Software Development, Python Programming, Application Development
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Generative Model Architectures, IBM Cloud, AI Workflows, LLM Application, Workflow Management, AI literacy, No-Code Development, Machine Learning Software, Natural Language Processing, Business Workflow Analysis, Artificial Intelligence, Self Service Technologies, Machine Learning, Deep Learning, Data Science
Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Responsible AI, Generative AI, Data Ethics, AI Product Strategy, Competitive Intelligence, AI Enablement, Artificial Intelligence, Risk Analysis, Hybrid Cloud Computing, Business Leadership, Risk Mitigation, Strategic Thinking, Data Management, Strategic Leadership, Law, Regulation, and Compliance, Data Strategy, AI literacy, Brainstorming
Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Application Programming Interface (API), Unit Testing, Cloud Applications, AI Integrations, Python Programming, Web Applications, Software Development Life Cycle, IBM Cloud, Web Development, Development Testing, Artificial Intelligence, Code Review, Integrated Development Environments, AI literacy, Server Side, Programming Principles
In summary, here are 10 of our most popular ibm ai courses
- Introduction to Artificial Intelligence (AI):Â IBM
- IBM Generative AI Engineering:Â IBM
- Generative AI: Introduction and Applications:Â IBM
- IBM AI Product Manager:Â IBM
- IBM AI Engineering:Â IBM
- IBM RAG and Agentic AI:Â IBM
- IBM AI Developer:Â IBM
- Building AI Agents and Agentic Workflows:Â IBM
- AI Foundations for Everyone:Â IBM
- IBM AI Enterprise Workflow:Â IBM
