IBM courses can help you learn data analysis, cloud computing, artificial intelligence, and machine learning. You can build skills in programming with Python, utilizing SQL for database management, and implementing AI models for real-world applications. Many courses introduce tools like IBM Watson for AI development, IBM Cloud for scalable solutions, and various data visualization software, providing practical experience in leveraging technology to solve complex problems.

Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Writing, Business Research, Portfolio Management, Job Analysis, Problem Solving, Communication
★ 4.7 (379) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Context Protocol, AI Integrations, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, Google Sheets, Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), File Management, Web Presence, Data Structures, Interviewing Skills
★ 4.8 (179K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Context Protocol, Responsible AI, LangGraph, AI Integrations, AI Workflows, AI Orchestration, Agentic Workflows, LangChain, Agentic systems, Generative AI Agents, CrewAI, OpenAI API, LLM Application, Tool Calling, OpenAI, Model Deployment, Compliance Management, Governance, AI Security, Artificial Intelligence and Machine Learning (AI/ML)
★ 2.4 (14) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Database Design, Relational Databases, SQL, Database Development, Databases, R Programming, R (Software), Data Science, Query Languages, Data Access, Data Manipulation, Data Analysis
★ 4.4 (192) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Deep Learning
★ 4.7 (327) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Model Optimization, Image Analysis, Model Evaluation, Classification Algorithms
★ 4.5 (95) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: R (Software), Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Programming Principles, Jupyter, File I/O, Integrated Development Environments, Debugging
★ 4.5 (614) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Plot (Graphics), Dashboard Creation, Dashboard, Leaflet (Software), Interactive Data Visualization, Data Presentation, R (Software), R Programming, Scatter Plots, Graphing, Box Plots, Geospatial Information and Technology, Data Science, Data Analysis
★ 4.6 (272) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Engineering Tools, LLM Application, Generative AI Agents, Large Language Modeling, Generative AI, Tool Calling, Hugging Face, Context Engineering, Embeddings, Agentic systems
★ 4.6 (211) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Data Ethics, Generative Model Architectures, Generative AI, Business Ethics, AI literacy, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Corporate Sustainability, Social Impact, Information Privacy, Accountability, Data Quality
★ 4.8 (318) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing
★ 4.5 (147) · Intermediate · Course · 1 - 4 Weeks