IBM Courses

Basic System Programming on IBM Z

379 ratings at Coursera

Practice everyday z/OS tasks in hands-on labs with JCL, JES, ISHELL and z/OSMF, covering VSAM, system libraries, Generation Data Groups, DB2 and UNIX System Services.

• Coursera
• 3 weeks, 6 hours a week
• Self-Paced
• Paid Course

Unsupervised Machine Learning

373 ratings at Coursera

Cluster unlabeled data and reduce dimensions with k-means, distance metrics, PCA, kernel PCA, multidimensional scaling and matrix factorization, then compare models in a final project.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Generative AI: Foundation Models and Platforms

355 ratings at Coursera

Explore the building blocks of generative AI — GANs, VAEs, transformers, diffusion models — and use foundation models on platforms like IBM watsonx and Hugging Face.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Assessment for Data Analysis and Visualization Foundations

343 ratings at Coursera

Review and test data analytics foundations: the data ecosystem, data gathering and mining, Excel cleansing, wrangling and pivot tables, and dashboards with Excel and Cognos.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Generative AI: Impact, Considerations, and Ethical Issues

342 ratings at Coursera

Examine generative AI's ethical, social, and economic fallout: data privacy, bias, copyright infringement, hallucination, deepfakes, and what responsible development and use require.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Designing User Interfaces and Experiences (UI/UX)

323 ratings at Coursera

Design web and mobile interfaces using typography, colour theory, responsive and progressive web design, and Figma components, then build an interactive Sales app with Thunkable.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Machine Learning Introduction for Everyone

316 ratings at Coursera

Explore machine learning fundamentals: the model lifecycle, supervised versus unsupervised learning, classification and regression, model evaluation, and a final project predicting insurance charges with a regression app.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Career Certificate

Building AI Agents and Agentic Workflows

317 ratings at Coursera

Build agentic AI systems with LangGraph, CrewAI, AutoGen and BeeAI: add memory, Agentic RAG, reflection, and multi-agent orchestration powered by GPT, Llama and Granite.

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

Generative AI: Business Transformation and Career Growth

310 ratings at Coursera

Explore how generative AI reshapes work: assess its impact across industries, prepare a business for adoption, and identify emerging roles and career opportunities.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Building Generative AI-Powered Applications with Python

298 ratings at Coursera

Build generative AI apps with Python, Flask, Gradio, and LangChain: image captioning with BLIP, a voice assistant, a meeting summarizer, and a RAG chatbot.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Full Stack Software Developer Assessment

297 ratings at Coursera

Review and test full stack skills across HTML, CSS, JavaScript, React, Node.js, Express, Python, Django, SQL, Docker, Kubernetes, microservices and serverless in a graded final exam.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Information Technology (IT) Fundamentals for Everyone

292 ratings at Coursera

Survey the IT landscape: hardware, operating systems, software, programming, databases, networking, storage, cybersecurity, cloud computing, and troubleshooting, through hands-on labs and quizzes.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Career Certificate

Preparation for CompTIA A+ Certification

293 ratings at Coursera

Prepare for the CompTIA A+ Core 1 and Core 2 exams: troubleshoot hardware and networks, manage operating systems, software, security and operational procedures, with practice exams.

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

Generative AI: Elevate Your Data Science Career

285 ratings at Coursera

Apply generative AI across the data science lifecycle: generate and augment data, engineer features, speed visualizations, build predictive models, and weigh ethics considerations.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

Data Visualization with R

275 ratings at Coursera

Build bar, histogram, pie, scatter, line and box plots in R with ggplot2, map geolocation data with Leaflet, and deploy interactive Shiny dashboards.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course