IBM Python courses can help you learn data analysis, machine learning, web development, and automation techniques. You can build skills in data visualization, statistical modeling, and developing applications using Python. Many courses introduce tools like Jupyter Notebooks, Pandas, and TensorFlow, that support handling data and implementing AI solutions. By engaging with these resources, you can gain practical experience in coding, data manipulation, and leveraging Python for various applications in technology and business.

Skills you'll gain: Data Preprocessing, Embeddings, Text Mining, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Development Environment, Software Installation
Intermediate · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: NoSQL, MongoDB, Distributed Computing, Database Systems, Scalability, Databases, Information Management, Database Management Systems, Data Storage Technologies, Data Modeling, Relational Databases, Unstructured Data, Graph Theory
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, Architecture and Construction, Data Transformation, Performance Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Process Mapping, Time Management, Dashboard, Collaborative Software, Project Portfolio Management, LinkedIn, Sprint Planning, Workflow Management, Project Management, Compliance Reporting, Backlogs, AI Enablement, Stakeholder Management, Resource Management, Portfolio Management, Stakeholder Engagement, Risk Management, Process Improvement, Agile Methodology, Key Performance Indicators (KPIs)
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Python Programming, Computer Programming, Data Science
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Fine-tuning, Model Optimization, Model Training, Generative AI, Model Evaluation, Large Language Modeling, Version Control, Performance Tuning, Development Environment, Data Preprocessing, Natural Language Processing, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Generative AI, Performance Tuning, Data Migration, Grafana, LangChain, LLM Application, Metadata Management, Containerization, Document Management, Data Infrastructure, Role-Based Access Control (RBAC), Database Architecture and Administration, Infrastructure Architecture, Large Language Modeling, Query Languages, Quantitative Research, Data Modeling, Docker (Software)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Large Language Modeling, Natural Language Processing, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Generative Model Architectures, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Model Optimization, Model Training, Applied Machine Learning, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Data Wrangling, Model Evaluation, Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Data Visualization, Graphing, Scripting Languages, Data Visualization Software, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Statistical Methods, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Code Reusability, Python Programming, Data Analysis
Beginner · Specialization · 1 - 3 Months