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: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, LLM Application, Keras (Neural Network Library), Vector Databases, Fine-tuning, Data Import/Export
Skills you'll gain: Responsible AI, Machine Learning Methods, Generative AI Agents, Generative AI, Prompt Patterns, Generative Model Architectures, Prompt Engineering Tools, AI literacy, Risking, Retrieval-Augmented Generation, LLM Application, Agentic systems, Machine Learning Algorithms, Natural Language Processing
Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Skills you'll gain: Generative AI, 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, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Tool Calling, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, AI Integrations, OpenAI API, Software Development
Skills you'll gain: Prompt Engineering, Prompt Patterns, Responsible AI, ChatGPT, Generative AI, Machine Learning Methods, Generative AI Agents, IBM Cloud, Generative Model Architectures, Prompt Engineering Tools, Risking, AI Workflows, Application Deployment, AI literacy, Machine Learning Software, Business Workflow Analysis, Workflow Management, Machine Learning, Deep Learning, Data Science
What brings you to Coursera today?
Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Responsible AI, Generative Model Architectures, Product Development, Innovation, ChatGPT, Product Roadmaps, Product Planning, Machine Learning Methods, Commercialization, Generative Adversarial Networks (GANs), Generative AI Agents, Prompt Engineering Tools, Artificial Intelligence
Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Responsible AI, Computer Vision, LangChain, Responsive Web Design, Generative AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science
Skills you'll gain: AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, LLM Application, Tool Calling, Agentic systems, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Patterns, Retrieval-Augmented Generation, Prompt Engineering, AI Integrations, Application Development, Data Visualization, Responsible AI, Large Language Modeling, Risking
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, AI literacy, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Exploitation techniques, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Augmented and Virtual Reality (AR/VR), Vulnerability Management, Model Evaluation, Incident Management
Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Machine Learning Methods, Data Mining, Generative AI Agents, Generative AI, Prompt Patterns, Generative Model Architectures, Prompt Engineering Tools, AI Product Strategy, Decision Intelligence, Data Processing, Big Data, Information Architecture, Strategic Decision-Making, Cloud Computing, Data Science, Data Architecture, Leadership
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Responsible AI, AI Product Strategy, Data Ethics, Competitive Intelligence, AI Enablement, Generative AI, Risk Analysis, Hybrid Cloud Computing, Business Leadership, Risk Mitigation, Risking, Compliance Training, Strategic Thinking, Data Management, Strategic Leadership, AI literacy, Law, Regulation, and Compliance, Data Strategy
What brings you to Coursera today?
In summary, here are 10 of our most popular ibm ai courses
- IBM Generative AI Engineering:Â IBM
- Introduction to Artificial Intelligence (AI):Â IBM
- IBM AI Engineering:Â IBM
- Generative AI: Introduction and Applications:Â IBM
- IBM RAG and Agentic AI:Â IBM
- AI Foundations for Everyone:Â IBM
- IBM AI Product Manager:Â IBM
- IBM AI Developer:Â IBM
- Building AI Agents and Agentic Workflows:Â IBM
- IBM Generative AI for Cybersecurity Professionals:Â IBM
