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: Model Deployment, Apache Spark, Data Pipelines, Cloud Deployment, Model Training, IBM Cloud, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Containerization, Data Science, Python Programming, Scalability, Design Thinking
★ 4.3 (62) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Python Programming
★ 4.5 (697) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Dashboard Creation, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Methods, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Pandas (Python Package), Statistical Inference, Statistics, Python Programming, Machine Learning
★ 4.3 (128) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics
★ 3.8 (1.3K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
★ 4.4 (92) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming
★ 4.3 (16) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Exploratory Data Analysis, Generative Model Architectures, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, Predictive Modeling, Responsible AI, Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Autoencoders
★ 4.6 (272) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Design Thinking, Market Opportunities, Data Integration, Data Engineering, Data Science, Analytical Skills, Data Pipelines, Data Validation, Extract, Transform, Load, Data Processing, Workflow Management, Process Modeling, Data Cleansing, Data Quality, Data Collection, Business Priorities, NumPy, Machine Learning, Python Programming
★ 4.3 (189) · Intermediate · Course · 1 - 4 Weeks

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)
★ 2.2 (19) · Intermediate · Specialization · 3 - 6 Months

University of London
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Applied Machine Learning, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Plot (Graphics), Data Processing, Data Visualization Software, Python Programming, Machine Learning
★ 4.5 (22) · Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Prompt Engineering Tools, Prompt Patterns, Responsible AI, Generative Model Architectures, Google Gemini, AI literacy, LLM Application, Model Evaluation, Debugging
★ 4.7 (79) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: LangGraph, AI Orchestration, AI Workflows, CrewAI, Agentic Workflows, Model Deployment, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Responsible AI, Software Architecture, Application Deployment, Systems Architecture, System Design and Implementation, Communication Systems, Safety and Security, System Monitoring, Scalability, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks