IBM Courses

Solving Problems with Creative and Critical Thinking

780 ratings at Coursera

Learn to analyze problems and find solutions using creative and critical thinking. Develop a systematic five-step process to identify root causes and implement effective solutions in an agile manner.

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

Developing Front-End Apps with React

773 ratings at Coursera

Master React for building dynamic front-end apps. Learn components, hooks, state management, and Redux. Gain hands-on experience through labs and a final shopping cart project. Ideal for aspiring web developers.

• Coursera
• 14 hours 38 minutes
• Self-Paced
• Paid Course

Career Certificate

Generative AI for Executives and Business Leaders

713 ratings at Coursera

Master strategic implementation of generative AI for business transformation, from foundational concepts to practical applications using IBM watsonx, while navigating governance and compliance considerations.

• Coursera
• 4 weeks, 1 hour/week
• Self-Paced
• Paid Course
• 3 courses

SQL: A Practical Introduction for Querying Databases

706 ratings at Coursera

Comprehensive introduction to SQL for database querying, covering CRUD operations, data manipulation, and advanced techniques. Hands-on practice with real-world datasets and cloud-based database instances.

• Coursera
• 20 hours 45 minutes
• Self-Paced
• Paid Course

AI Capstone Project with Deep Learning

695 ratings at Coursera

Apply deep learning to real-world challenges: load data, build and validate models, and present results. Gain hands-on experience with image classification using pre-trained networks like ResNet and VGG16.

• Coursera
• 14 hours 34 minutes
• Self-Paced
• Paid Course

Career Certificate

RAG for Generative AI Applications

685 ratings at Coursera

Master RAG techniques for GenAI applications using vector databases, LangChain, and LlamaIndex to build intelligent systems that combine LLMs with real-world data retrieval.

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

Introduction to R Programming for Data Science

615 ratings at Coursera

Learn R programming essentials for data science: data types, manipulation techniques, and fundamental tasks. Gain practical skills through hands-on exercises using RStudio and Jupyter notebooks for data analysis.

• Coursera
• 11 hours 38 minutes
• Self-Paced
• Paid Course

Delivering Quality Work with Agility

588 ratings at Coursera

Learn to efficiently research and deliver high-quality work using a five-step process. Develop essential skills for professional success and client satisfaction in any workspace.

• Coursera
• 1 hour 32 minutes
• Self-Paced
• Paid Course

Introduction to Networking and Storage

574 ratings at Coursera

Enhance essential IT skills in networking, storage, and system administration. Learn network fundamentals, configuration, troubleshooting, and storage types. Develop practical skills through hands-on labs and activities.

• Coursera
• 12 hours 25 minutes
• Self-Paced
• Paid Course

GenAI for Executives & Business Leaders: An Introduction

536 ratings at Coursera

Gain insights into generative AI's business impact, from foundation models to ethical implementation, while learning practical applications for customer service and modernization strategies.

• Coursera
• 3 hours 9 minutes
• Self-Paced
• Paid Course

Develop Generative AI Applications: Get Started

520 ratings at Coursera

Master prompt engineering strategies and build complete GenAI applications with LangChain, creating responsive AI solutions using Python, Flask, and Gradio while comparing different language models.

• Coursera
• 9 hours 59 minutes
• Self-Paced
• Paid Course

Analyzing Data with Excel

510 ratings at edX

Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data.

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

Introduction to Big Data with Spark and Hadoop

480 ratings at Coursera

Learn big data processing with Hadoop and Spark. Gain hands-on experience in distributed computing, data analysis, and SQL querying. Explore real-world applications and industry tools.

• Coursera
• 19 hours 31 minutes
• Self-Paced
• Paid Course

Introduction to Software, Programming, and Databases

464 ratings at Coursera

Explore software basics, cloud computing, web browsers, programming concepts, and database fundamentals. Gain practical skills through hands-on labs and a final project to boost your IT expertise.

• Coursera
• 18 hours 7 minutes
• Self-Paced
• Paid Course

Statistics for Data Science with Python

462 ratings at Coursera

Comprehensive introduction to statistical methods for data analysis using Python, covering descriptive statistics, data visualization, probability, hypothesis testing, and regression analysis with hands-on practice.

• Coursera
• 13 hours 28 minutes
• Self-Paced
• Paid Course