IBM Courses

Career Certificate

Applied Data Science

Gain practical data science skills using Python, from analysis to visualization. Learn to solve real-world problems, make data-driven decisions, and tell compelling stories with data.

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

Career Certificate

IBM AI Engineering

Master AI engineering with hands-on projects in machine learning, deep learning, and computer vision. Gain practical skills using Python, popular libraries, and frameworks like PyTorch and TensorFlow for various industry applications.

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

Career Certificate

Cloud Application Development Foundations

Learn to build, deploy, and manage cloud-native applications using key technologies like HTML, CSS, JavaScript, Node.js, and React. Gain practical skills for a career as a full-stack Cloud Native Developer.

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

z/OS System Services Structure

Explore z/OS system structure, control blocks, and services. Learn to identify bottlenecks, gather error symptoms, and tailor systems for optimal performance and problem-solving.

• Coursera
• 9 hours 26 minutes
• Self-Paced
• Paid Course

SMP/E for z/OS Workshop

Develop essential SMP/E skills for z/OS maintenance, including database management, SYSMOD processing, and automated service delivery over the Internet.

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

Career Certificate

IBM IT Support

Develop job-ready IT support skills in hardware, software, networking, cybersecurity, and cloud computing. Gain hands-on experience, earn an IBM Professional Certificate, and prepare for CompTIA certification exams.

• Coursera
• 39 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

IBM DevOps and Software Engineering

Comprehensive program covering DevOps practices, tools, and technologies. Develop skills in Agile, Python, Linux, cloud computing, containerization, microservices, CI/CD, and application security for an entry-level software engineering role.

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

Career Certificate

Information Technology (IT) and Cloud Fundamentals

Comprehensive IT foundation covering hardware, software, networking, cybersecurity, and cloud computing. Prepares for entry-level IT roles and CompTIA IT Fundamentals certification. No prior experience required.

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

Career Certificate

NoSQL, Big Data, and Spark Foundations

Desarrolla habilidades fundamentales en Big Data, Apache Spark y bases de datos NoSQL como MongoDB y Cassandra. Aprende sobre Hadoop, Spark Dataframes, PySpark y Spark ML para procesamiento y machine learning.

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

Career Certificate

IBM Data Warehouse Engineer

Master in-demand data warehousing skills, including SQL, Linux, and database architecture. Learn to design, build, and query data warehouses using tools like RDBMS, PostgreSQL, and MySQL for powerful business analytics.

• Coursera
• 35 weeks, 4 hours a week
• Self-Paced
• Paid Course
• 7 courses

Career Certificate

BI Foundations with SQL, ETL and Data Warehousing

Comprehensive program covering SQL, ETL, data warehousing, and BI analytics. Gain hands-on skills in Linux, data pipelines, and interactive reporting to prepare for in-demand data professional roles.

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

Career Certificate

Linux and Private Cloud Administration on IBM Power Systems

Comprehensive Linux training covering system administration and private cloud management on IBM Power Systems, from basics to advanced concepts using Red Hat Enterprise Linux.

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

Career Certificate

IBM Data Analyst

Gain in-demand data analysis skills using Python, Excel, SQL, and visualization tools. Learn from real-world projects to prepare for a career in this high-growth field.

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

Career Certificate

IBM Machine Learning

Comprehensive program covering key machine learning types, algorithms, and applications. Develop practical skills using open-source frameworks for a career in AI and data science.

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

Application Security and Monitoring

Identify vulnerabilities, implement secure practices, and monitor application health. Learn DevSecOps, SAST, OWASP risks, and APM tools to create and maintain secure development environments.

• Coursera
• 7 weeks
• Self-Paced
• Paid Course