146 Courses and Certifications

IBM Courses & Certifications 2026

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Scalable Machine Learning on Big Data using Apache Spark

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Certificate

Scalable Machine Learning on Big Data using Apache Spark

The IBM advanced data science qualification curriculum includes the Scalable Machine Learning on Big Data using Apache Spark online course which provides students with much-needed insights to scale up the machine learning and data science methods in Apache Spark on big data sets. 

The Scalable Machine Learning on Big Data using Apache Spark syllabus will teach about datasets that need capabilities beyond a single computer and Apache Spark provides the open source-based framework and comes as a part of the IBM Artificial Intelligence Engineering. 

It is an intermediate difficulty level coursework that is fully online and provides a verified certificate. The Scalable Machine Learning on Big Data using Apache Spark by Coursera takes a total duration of 4 weeks to complete and is taught in the English language along with subtitles provided for student comfort. The course will help candidates with prerequisite knowledge on programming, SQL and machine learning with a flexible deadline and serve as a great asset for anybody aspiring to be a Machine Learning Engineer. 

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4 Weeks
Intermediate
Skills Covered:
Machine learning Knowledge of Apache Spark
Introduction to Quantum Computing Quantum Algorithms and Qiskit

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Certificate

Introduction to Quantum Computing: Quantum Algorithms and Qiskit

Introduction to Quantum Computing: Quantum Algorithms and Qiskit certification is a course that has been developed by leaders like IBM Research, IBM Systems, IIT Madras, and  NPTEL directly on Swayam’s website. Quantum computing is emerging rapidly as one of the most disruptive technologies of recent times, and this new concept has been brought to our knowledge through this certification course. The course will be introducing how quantum error correction can be useful for lessening the noise effects in quantum devices.

Introduction to Quantum Computing: Quantum Algorithms and Qiskit training will be of potential help in solving some challenging problems that cannot be solved easily by using classical solutions. The institution IBM is a recognized leader of such technology, and hence this course is going to be extremely useful. This course does hold full-length sessions on the concepts, and usage of Qiskit. The most exciting part is that the end certification is usually accepted by the prestigious company IBM for jobs.

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4 Weeks
Free
Brochure
Skills Covered:
Knowledge of physics
Data Engineering Basics for Everyone

Offered by

IBM via Edx
Certificate

Data Engineering Basics for Everyone

4 Weeks
Beginner
Data Privacy for Information Architecture

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Certificate

IBM Data Privacy for Information Architecture

External laws and regulations use Data privacy to control how digital information is used, shared, collected and disposed of. In the IBM Data Privacy for Information Architecture course, you will understand what data privacy is and how it works. The course covers multiple topics in data privacy, such as understanding the objectives of privatisation and typical data protection and how to select an approach in data protection for an organisation. You will also be exposed to various multi-data privatisation practices and mechanisms and growing your own data protection toolkit. 

IBM Data Privacy for Information Architecture online course is a three-week course. However, you can select your schedule for viewing the video lectures and the reading material. There will also be periodic practice exercises to evaluate your progress. Upon successfully completing the course, you will receive certification. 

IBM Data Privacy for Information Architecture certification is free to audit. You can also apply for a scholarship or financial support if you aren't able to pay the fee.  

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3 Weeks
Free
Skills Covered:
Knowledge of Cyber Security
Artificial Intelligence Workflow Artificial Intelligence in Production

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Certificate

AI Workflow: AI in Production

Part six in the series of programs on the same domain the online course on AI Workflow: AI in Production by Coursera can be persuaded by students who have an earlier and strong understanding of - NumPy, IBM Watson studio, Python, Pandas, Linear Algebra, and Descriptive and inferential statistical concepts. 

The online course focuses on the models of productions that are aimed at streaming media companies. The course will be introducing the students to the core concepts of IBM Watson Learning. The online program over the period of 17 hours covers the topics of - data analysis, visual recognition, machine learning, and hypothesis testing,  bias detection, NLP and others. The AI Workflow: AI in Production certification syllabus will be covered by professionals.

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3 Weeks
Expert
13,572
Skills Covered:
Machine learning Knowledge of NLP Modelling
AI Applications With Watson

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IBM via Edx
Certificate

AI Applications with Watson

3 Weeks
Intermediate
Free
Developing Cloud Applications with Node.js and React

Offered by

IBM via Edx
Certificate

Developing Cloud Applications with Node.js and React

The Developing Cloud Applications with Node.js and React online course is an intermediate-level curriculum that belongs to the Computer Science domain. IBM offers this programme in the English language, along with video transcripts. Moreover, there is no fixed schedule, and you can train quickly. The course structure is simple, which you can complete with a minimal effort of four to six hours per week. 

The Developing Cloud Applications with Node.js and React certification course is also associated with two other professional certificate programmes, namely, ‘Cloud Application Development Foundations’ and ‘Full Stack Cloud Developer’. The training ensures that you attain complete conceptual clarity in Node.js, Express, the React JavaScript library, invoking Web Services, and Cloud APIs’ integration. 

The Developing Cloud Applications with Node.js and React online programme also lets you practice GitHub concepts and DevOps to see that the application is continuously delivered. Mr. Upkar Lidder teaches this course, he is a senior software engineer at IBM. Therefore, you can be sure of learning from an instructor who possesses a working knowledge of the field. Learners will have the option to choose any track from the two mentioned ones: audit and verified tracks. These tracks are self-paced and offer limited and unlimited course material access for the verified and audit tracks respectively.

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3 Weeks
Intermediate
Skills Covered:
Web application development skills
Introduction to Cloud Computing-1

Offered by

IBM via Edx
Certificate

Introduction to Cloud Computing

Cloud computing denotes the availability of computer resources and the delivery of various services through the internet. Introduction to Cloud Computing by edX has been designed as a six-week online learning programme for beginners. You can learn about cloud computing concepts and their essential characteristics through videos, reading material and more. 

The curriculum also provides graded assignments and quizzes to help you stay motivated and track progress. The course syllabus includes the history of cloud computing and the emerging trends that include Hybrid Multicloud, Cloud Native, Microservices, Application Modernisation, etc. If you are new to the field, Introduction to Cloud Computing online course is a great way to get familiar with or build a prosperous career as a Cloud professional.

Moreover, the Introduction to Cloud Computing certification has been curated in collaboration with IBM, and you will receive digital badges along with a verified certificate on completion if you choose the verified track. Hence, you can learn through interactive methods and get accredited for your newly gained knowledge and skills. Rav Ahuja, who is the Global Program Director at IBM, will be your programme instructor. In the free mode, you can access the course only for a limited period of time. 

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3 Weeks
Beginner
Skills Covered:
Knowledge of cloud computing
Full Stack Application Development Capstone Project

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Certificate

Full Stack Application Development Capstone Project

A full-stack developer indulges in working on the front end and back end of software applications. Full-stack developers are expected to be well acquainted with technologies used for the implementation of components and layers in software. Cloud-native application development is one of the major approaches to run, build and improve apps through technologies and techniques for cloud computing. In order to ace this role, aspiring developers must know the nuances of these techniques and technologies.

Full Stack Application Development Capstone Project by Coursera fulfils this requirement as a flexible, job-relevant and affordable online learning programme for individuals. IBM experts will deliver on-demand lectures that can be accessed on both desktop and mobile applications on the candidate's own schedule. Coursera also provides career support resources like resume development and interviews.

No prior programming experience or Cloud background is required to start this program. Full Stack Application Development Capstone Project certification syllabus comprises a high-quality curriculum that will help learners develop skill sets in numerous technologies including HTML, cloud foundations, CSS, JavaScript, Node.js, GitHub, react, DevOps, cloud-native practices, CI/CD, docker, containers, Kubernetes, Istio, Openshift, python programming, SQL, databases, NoSQL, bootstrap, Django ORM, application security, serverless computing and microservices.

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3 Weeks
Expert
3,384
Skills Covered:
Web application development skills
Cloud Application Developer Capstone

Offered by

IBM via Edx
Certificate

Cloud Application Developer Capstone

3 Weeks
Expert
03 August 2026 - 28 January 2027
Free
Cyber Threat Intelligence

Offered by

Certificate

Cyber Threat Intelligence

With the revolutionization of Digital technologies, they have become the backbone of every industry in today's world. But along with the revolution they have brought risks of cyberattacks. Threat intelligence knowledge helps one to track the threat and plan the defence against them. The Cyber threat intelligence training course provides knowledge and understanding as to who is attacking, their strength and abilities as to how much damage they can create to the system.

To keep a track of their network and data they opt for a solution which is a cyber threat intelligence which can address all the issues that they are prone to. This Cyber threat intelligence online course is specially designed for beginners who are willing to gain knowledge using this platform and aim for a bright future by upgrading their portfolio and skills. The learners will be able to stand in the competition that is prevailing in the industry and will be able to stand out of the crowd.

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3 Weeks
Intermediate
4,115
Skills Covered:
Knowledge of Cyber Security
Machine Learning Rapid Prototyping with IBM Watson Studio

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Certificate

Machine Learning Rapid Prototyping with IBM Watson Studio

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will be allowing the students to work in the emerging technologies of AI. The syllabus is included in the online course Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera. The online programme is  100% online programme and the course is having a duration of eight hours. The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus includes the chapters of- Classification Prep Demo, Regression Prep Demo, Multi-armed Bandit Approach, Demo Classification: Making Changes to the Models, Automated Data Preparation, DAUB Algorithm, The model selection problem and others.

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3 Weeks
Intermediate
Skills Covered:
Machine learning
Data Engineering and Machine Learning using Spark

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Certificate

Data Engineering and Machine Learning using Spark

3 Weeks
Beginner
Free
Introduction to IBM z OS Mainframe

Offered by

IBM via Edx
Certificate

Introduction to IBM z/OS Mainframe

3 Weeks
Beginner
Free
Python Basics for Data Science

Offered by

IBM via Edx
Certificate

Python Basics for Data Science

Python programming and data science are highly valuable and in-demand skills. Top companies use Data Science and analysis to interpret data and make critical business decisions. Python Basics for Data Science by edX will delve into data science using Python. As this is a beginner-level course, you will learn about Python language from scratch and do not have to be a programmer.

The Python Basics for Data Science certification is a free programme that falls under the Data Analysis and Statistics category and will run for five weeks. It will enable you to learn at your own schedule and pace through video content. By the end of the training course, you will be adept at using Python language to create data science projects and be ready to collaborate with Data scientists. 

Enrol in the edX Python Basics for Data Science programme and gain basic knowledge of machine learning, programming, and data visualisation. You can also earn a sharable verified course certificate after completing the course if you took the course in the verified track by paying the fee. In the free track, you can audit the programme for a limited duration. 

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3 Weeks
Intermediate
Skills Covered:
Data science knowledge Knowledge of Python
Introduction to z OS Commands and Panels on IBM Z

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IBM via Edx
Certificate

Introduction to z/OS Commands and Panels on IBM Z

3 Weeks
Beginner
Free
Smarter Chatbots with Node RED and Watson AI

Offered by

IBM via Edx
Certificate

Smarter Chatbots with Node- RED and Watson AI

3 Weeks
Intermediate
Free
Introduction to System Programming on IBM Z

Offered by

IBM via Edx
Certificate

Introduction to System Programming on IBM Z

3 Weeks
Intermediate
Free
Specialized Models Time Series and Survival Analysis

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Certificate

Specialized Models: Time Series and Survival Analysis

By taking up the Specialized Models: Time Series and Survival Analysis online course the students will be working on the ways to identify the modelling challenges that are common within the domain of time series data. The course will further be helping to understand the process of how trends are gauged and accessed in a time series of data. In the Specialized Models: Time Series and Survival Analysis certification syllabus the students will be covering chapters on- Identifying Nonstationarity, Common Transformations, Smoothing Moving Averages, Time Series Smoothing, Deep Learning Notebook, Survival Analysis and Censoring and others. The online course on Specialized Models: Time Series and Survival Analysis by Coursera will be elaborating on the domains of “time-series data” and will be working on its applications.

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3 Weeks
Intermediate
Free
Skills Covered:
Knowledge of deep learning
AI Capstone Project with Deep Learning

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Certificate

AI Capstone Project with Deep Learning

The AI Capstone Project with Deep Learning certification course provides an advanced level of training to all its participants. The programme is within the reach of the students at no cost as it can be accessed for free in the audit mode. The course is made accessible to every aspirant through the platform Coursera. Students who enrol for this hundred per cent online training will be able to gain a deep understanding of AI. 

The course revolves around the topics of preprocessing data, building a model, validity of a model, etc. The programme is a part of a course named IBM AI Engineering that is also a Coursera programme and is in association with IBM. The curriculum of the AI Capstone Project with Deep Learning online course is managed by two industry experts that will help the students understand the concepts. 

The course material of the subject also provides hands-on experience through projects. Along with the projects, it includes quizzes, assignments, practises exercises, etc. The course does not have any restrictions with respect to admission eligibility criteria, deadlines, or attendance. The content of the AI Capstone Project with the Deep Learning certification syllabus is divided into 3 weeks and can be completely finished in around 5 hours. If the student is able to complete the course in the fixed time he or she will be able to achieve a certificate at the end of the programme.

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3 Weeks
Expert
3,384
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of Python Knowledge of Algorithms
Devops Basics for Everyone

Offered by

IBM via Edx
Certificate

Devops Basics for Everyone

3 Weeks
Beginner
Free
Python Project for Data Engineering

Offered by

Certificate

Python Project for Data Engineering

The Python Project for Data Engineering certification course, developed by IBM Skills Network and taught by Ramesh Sannareddy, a subject matter expert in data engineering, and Joseph Santarcangelo, a Ph.D., data scientist at IBM, is made available by Coursera, which is intended for participants who want to evaluate their expertise by using web scraping and extracting data with APIs, all with the help of numerous hands-on experiments.

Python Project for Data Engineering online classes provides 9 hours of prerecorded learning materials with an emphasis on assisting participants in obtaining the knowledge necessary to apply fundamental Python abilities by utilizing various data collection and data processing strategies. The Python Project for Data Engineering online course covers subjects such as Watson Studio, Jupyter notebooks, and API functions as well as demonstrates how to extract data from various file formats, change it into particular datatypes, and then load it into a particular source for analysis.

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3 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of Python

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Certificate

Linux System Administration with IBM Power Systems

Linux System Administration with IBM Power Systems Certification by Coursera introduces learners to the fundamental concepts surrounding the administrative tasks that a system administrator can undertake with Linux on IBM Power servers. Within a span of four weeks, they will also learn about various concepts related to virtualisation that include logical partitioning, command-line operations and the installation of Linux. They shall also delve into some interesting concepts surrounding device and administration management tasks.

Linux System Administration with IBM Power Systems Certification Programme will help learners earn a shareable certificate to exhibit their skills to recruiters. They can learn at their own pace with their schedule. The curriculum has been made engaging with additional readings and quizzes with each week's lectures. Candidates also have the option to receive peer feedback on peer-reviewed graded assignments and provide them with feedback to initiate mutual learning.

The course is offered under the ambit of Cloud Computing under another broad ambit of Information Technology. Thus, candidates belonging to these fields can pursue this course and polish their skills considerably. The course is being delivered by experts from IBM that makes learning industry-oriented and significant for academic and professional purposes.

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3 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Linux
Apache Spark for Data Engineering and Machine Learning

Offered by

IBM via Edx
Certificate

Apache Spark for Data Engineering and Machine Learning

3 Weeks
Intermediate
Free
Introduction to Computer Vision and Image Processing

Offered by

Certificate

Introduction to Computer Vision and Image Processing

The Introduction to Computer Vision and Image Processing by Coursera is the last course in IBM Applied AI Professional Certificate. This Specialization comprises six courses devoted to Computer Vision and its numerous applications across sectors. The certification course takes approximately 15 hours to complete, while the teaching medium is English.

Many industries such as robotics, face detection, and augmented reality employ computer vision and the vast implementations make IIntroduction to Computer Vision and Image Processing course very exciting. The course curriculum will furnish you with essential skills, including OpenCV, Watson, AI, and more.

Furthermore, the Introduction to Computer Vision and Image Processing certification course is offered by IBM (International Business Machines Corporation), a multinational consultancy and technology company headquartered in Armonk, New York. 

The Introduction to Computer Vision and Image Processing programme is a beginner-level course with flexible deadlines. Enjoy a comfortable learning experience with this exciting course in AI and Machine Learning, and get a completion certificate from Coursera.

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2 Weeks
Beginner
2,699
Skills Covered:
Knowledge of Artificial Intelligence
Blockchain Framework and Platforms

Offered by

IBM via Edx
Certificate

Blockchain Framework & Platforms

2 Weeks
Intermediate
Free
Artificial Intelligence Chatbots Without Programming

Offered by

IBM via Edx
Certificate

Artificial Intelligence Chatbots Without Programming

2 Weeks
Beginner
Free
Developing Cloud Native Applications

Offered by

IBM via Edx
Certificate

Developing Cloud Native Applications

The Developing Cloud-Native Applications certification course is offered by IBM. The training is also associated with two other professional certificate programs, namely ‘Full Stack Cloud Developer’ and ‘Cloud Application Development Foundations’. This course familiarises you with the tools and services required to deliver and deploy applications on the cloud continuously. 

The Developing Cloud-Native Applications certification syllabus provides you with a holistic understanding of JSON data formats and how REST APIs work. Furthermore, you also get to use a Web IDE and GIT while learning how to create and manage your code. From creating a GIT repository to manage the source code to identifying and navigating database services in the IBM cloud, this course helps you gain industry-relevant skills with ease.

Upkar Lidder, who has multiple years of experience working as a Senior Software Engineer at IBM, will be your instructor for the Developing Cloud-Native Applications online training. The course is an intermediate-level study, and you can learn at your own pace. You can also purchase a verified edX accreditation after finishing the course. For pursuing the programme, basic knowledge of cloud concepts, cloud application development, HTML, and Javascript is required. Learners will have the leverage and choose any track from the two mentioned ones: audit and verified tracks. These tracks are self-paced and offer limited and unlimited course material access for the verified and audit tracks respectively.

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2 Weeks
Intermediate
Free
Skills Covered:
Web application development skills
Introduction to Cloud Development with HTML5, CSS3 and JavaScript

Offered by

IBM via Edx
Certificate

Introduction to Cloud Development with HTML5, CSS3, and JavaScript

Introduction to Cloud Development by edX is an open online certification course. This course aims to teach you the skills necessary to become a professional Cloud developer. Hence, you will learn about programming tools and languages needed to develop web applications and Cloud on your own. 

Since this is an introductory course, you will begin learning how internet servers work and how applications are delivered to users. The Introduction to Cloud Development certification syllabus will further explore back-end, front-end, and full-stack development. 

You will get to learn languages used in front-end development, such as HTML, CSS3 and JavaScript. This programme consists of six modules in total, and the last one consists of the final assignment that will enable you to apply your new knowledge.

The Introduction to Cloud Development certification is a course in Computer Science offered in association with IBM. You can complete the course in a span of four weeks and obtain a verified certificate to share on LinkedIn if you take it in the verified mode by paying the fee. The free mode allows the candidates to audit the programme for a limited duration. 

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2 Weeks
Intermediate
Skills Covered:
Knowledge of CSS Web application development skills
Introduction to the Threat Intelligence Lifecycle

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Certificate

Introduction to the Threat Intelligence Lifecycle

2 Weeks
Beginner
2,699

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