IBM Courses

Basic System Programming on IBM Z

378 ratings at Coursera

Hands-on labs for z/OS tasks, covering JCL, JES, ISHELL, HFS, z/OSMF, VSAM, system libraries, Language Environment, GDGs, RAIM, DB2, and UNIX System Services for IBM Z system programmers.

• Coursera
• 18 hours 19 minutes
• Self-Paced
• Paid Course

Data Analysis with R

371 ratings at Coursera

Comprehensive R course for data analysis: from data wrangling to model development and evaluation. Learn to predict flight delays using real-world airline data and tidymodels framework.

• Coursera
• 15 hours 6 minutes
• Self-Paced
• Paid Course

Career Certificate

IBM AI Enterprise Workflow

369 ratings at Coursera

Comprehensive AI workflow specialization preparing for IBM certification, covering business priorities, data science, machine learning, and deployment using IBM Cloud and open-source tools.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

Unsupervised Machine Learning

364 ratings at Coursera

Explore unsupervised machine learning techniques, including clustering and dimensionality reduction, to uncover insights from unlabeled data. Gain hands-on experience with algorithms and best practices.

• Coursera
• 22 hours 41 minutes
• Self-Paced
• Paid Course

Assessment for Data Analysis and Visualization Foundations

334 ratings at Coursera

Comprehensive assessment covering data analytics fundamentals, Excel proficiency, and visualization techniques using Excel and IBM Cognos. Test your skills in data ecosystem, analysis, cleansing, and effective visualization.

• Coursera
• 1 hour 59 minutes
• Self-Paced
• Paid Course

Collaborate Effectively for Professional Success

1020 ratings at Coursera

Learn effective collaboration techniques, virtual teamwork strategies, and communication methods to enhance professional relationships and achieve shared goals.

• Coursera
• 2 hours 3 minutes
• Self-Paced
• Paid Course

Generative AI: Foundation Models and Platforms

329 ratings at Coursera

Explore core concepts, models, and platforms of generative AI. Gain hands-on experience with IBM watsonx and other tools to generate text, images, and code using foundation models.

• Coursera
• 6 hours 56 minutes
• Self-Paced
• Paid Course

Generative AI: Impact, Considerations, and Ethical Issues

320 ratings at Coursera

Explore generative AI's societal impact, ethical concerns, and responsible use. Learn about its limitations, potential misuses, and socioeconomic implications through real-world examples and expert insights.

• Coursera
• 6 hours 20 minutes
• Self-Paced
• Paid Course

Designing User Interfaces and Experiences (UI/UX)

313 ratings at Coursera

Learn UI/UX design principles, responsive web methodologies, and Figma tools to create intuitive interfaces. Gain hands-on experience in designing user-centered digital products for web and mobile platforms.

• Coursera
• 19 hours 14 minutes
• Self-Paced
• Paid Course

Machine Learning Introduction for Everyone

310 ratings at Coursera

Comprehensive introduction to machine learning concepts, applications, and techniques. Covers supervised/unsupervised learning, classification, regression, and model evaluation through hands-on labs and a final project.

• Coursera
• 6 hours 24 minutes
• Self-Paced
• Paid Course

Full Stack Software Developer Assessment

292 ratings at Coursera

Test your full stack development skills with IBM's final assessment, covering cloud computing, HTML, CSS, JavaScript, Python, Node.js, React, Docker, Kubernetes, SQL, Django, and more.

• Coursera
• 6 hours 42 minutes
• Self-Paced
• Paid Course

Career Certificate

Preparation for CompTIA A+ Certification

286 ratings at Coursera

Comprehensive IT training covering hardware, networking, OS, software, security, and operational procedures. Prepares for CompTIA A+ certification with hands-on practice and exam preparation.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Information Technology (IT) Fundamentals for Everyone

281 ratings at Coursera

Comprehensive introduction to IT fundamentals covering hardware, software, networking, cybersecurity, and cloud computing. Ideal for non-IT professionals seeking to collaborate effectively with IT teams.

• Coursera
• 19 hours 12 minutes
• Self-Paced
• Paid Course

Building Generative AI-Powered Applications with Python

277 ratings at Coursera

Develop AI-powered applications using Python, including chatbots, image captioning, and voice assistants. Gain hands-on experience with LLMs, RAG technology, and popular frameworks like Langchain and Flask.

• Coursera
• 14 hours 49 minutes
• Self-Paced
• Paid Course

Data Analytics Basics for Everyone

275 ratings at edX

Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.

• edX
• 5 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)