146 Courses and Certifications

IBM Courses & Certifications 2026

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Deep Neural Networks with PyTorch

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Certificate

Deep Neural Networks with PyTorch

The Deep Neural Networks with PyTorch certification course will teach candidates, how to use Pytorch to create deep learning models. It is a part of the IBM AI Engineering Professional Certificate. There are a total of 6 courses in that specialisation. The Deep Neural Networks with PyTorch training course is the fourth one of them. Artificial intelligence or AI is revolutionising whole industries by transforming the way businesses exploit knowledge to make decisions across sectors. Organisations need skilled AI engineers who use cutting-edge approaches such as machine learning algorithms and deep learning neural networks to provide their companies with data-driven actionable intelligence in order to remain competitive. This Technical Certificate of 6 courses is designed to equip candidates with the tools which are needed to excel as an Artificial Intelligence or Machine Learning engineer in their career. 

Using programming languages such as Python, candidates will master the basic principles of machine learning and deep learning, which includes supervised and unsupervised learning. Candidates will also obtain a digital badge from IBM acknowledging their proficiency in AI engineering in addition to receiving a Technical Certificate from Coursera.

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2 Weeks
Intermediate
1,914
Skills Covered:
Knowledge of deep learning
Unsupervised Machine Learning

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Certificate

Unsupervised Machine Learning

2 Weeks
Intermediate
Supervised Machine Learning Regression

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Certificate

Supervised Machine Learning: Regression

2 Weeks
Intermediate
Computer Networks and Network Security

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Certificate

Computer Networks and Network Security

The Network Security & Database Vulnerabilities certification course is training that provides an online learning experience. Students will be able to understand local area networks, TCP or internet protocol, networking security systems, etc. in the programme. Students will be able to learn about cybersecurity and the attacks and challenges faced by the industry through the Network Security & Database Vulnerabilities online course. 

Along with networking, the curriculum of the programme also discusses database vulnerabilities and the tools that are used in the research process of a database. The lessons of the programme can be pursued by the user in the audit mode which requires no amount to be paid for the course. The course allows flexible deadlines and takes up to 14 to 16 hours to complete the Network Security & Database Vulnerabilities certification syllabus. Students who have any language barrier can use the subtitles given in the programme such as French, Arabic, Spanish, Vietnamese, Russian, German, Italian, Portuguese, and English. The students can also obtain a certificate at the end of the course upon the successful completion of the course.

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2 Weeks
Intermediate
8,418
Skills Covered:
Database knowledge SQL knowledge Networking Knowledge of Cyber Security
Machine Learning with Python

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Certificate

Machine Learning with Python

The Machine Learning with Python certification course offered by IBM is a comprehensive program designed to introduce learners to the basics of machine learning using the Python programming language. Machine Learning with Python programme offered by IBM is the 13 hours (approx.) duration certification course having 6 moudules in total where students can learn on their own pace.

The Machine Learning with Python  certification course, offered by IBM via Coursera, is the intermediate level programme where students will learn classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.  Machine Learning with Python certification course offered by IBM helps the students to learn new concepts from industry experts and develop job-relevant skills with hands-on projects along with shareable career certificate from IBM.

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2 Weeks
Intermediate
Free
Skills Covered:
Machine learning Knowledge of Python Knowledge of Scikit-Learn
Common Business Oriented Language Programming with VSCode

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Certificate

COBOL Programming with VSCode

2 Weeks
Beginner
2,699
Data Analysis with Python

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Certificate

Data Analysis with Python

Offered by IBM, the Data Analysis with Python Programme certification course is a certification programme which is conducted by one of the leading and pioneering skill-based training academy namely, Coursera. By undertaking this programme, the candidate will specialise and learn the art of analysing the data with the help of Python. During the course, the candidates will be able to master and gain knowledge on different skills namely, Data Analysis, Model Selection, Data Visualization, Python Programming and Predictive Modelling. 

The candidates will seek a detailed understanding about skills used in data analysis namely, Scipy, Numpy and Pandas libraries. This programme being a 100% online programme will give ease and convenience for professionals to pursue it. A shareable certificate will also be given in the end post successfully completing the programme. This certificate can be easily viewed, printed and shared on LinkedIn as well. Moreover, this programme Data Analysis with Python training  will act as a foundation or basis for professionals to pursue different programmes post completion of this one. 

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2 Weeks
Intermediate
Free
Skills Covered:
Knowledge of Python Data science knowledge Predictive Modeling knowledge Knowledge of Data Visualization
Introduction to Relational Databases RDBMS

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Certificate

Introduction to Relational Databases (RDBMS)

The term relational database refers to a particular kind of database that stores and makes available connected data items. On the relational model, an easy-to-understand method of representing data in tables, relational databases are built. Introduction to Relational Databases (RDBMS) certification course is taught by Sandip Saha Joy - Data Scientist, Rav Ahuja - Global Program Director, Lin Joyner - Senior Instructional Designer & Content Developer, and is developed by IBM Skills Network and Rose Malcolm - Senior Instructional Designer & Content Developer, which is delivered by Coursera.

Introduction to Relational Databases (RDBMS) online course focus on assisting individuals in recognising the many database types that are suitable for the particular sorts of data they are working with and the processing requirements as well as providing individuals with a good understanding of how information is stored, analyzed, and retrieved. Introduction to Relational Databases (RDBMS) online classes incorporate 2 weeks of hands-on practical learning materials to help individuals in learning the methodologies for building relational data models and the approaches to use them with their data.

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2 Weeks
Beginner
1,699
Skills Covered:
Database Management
Introduction to NoSQL Databases

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Certificate

Introduction to NoSQL Databases

2 Weeks
Beginner
Relational Database Administration

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Certificate

Relational Database Administration

2 Weeks
Intermediate
1,914
Data Warehouse Fundamentals

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Certificate

Data Warehouse Fundamentals

2 Weeks
Intermediate
1,914
Introduction to Big Data with Spark and Hadoop

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Certificate

Introduction to Big Data with Spark and Hadoop

Introduction to Big Data with Spark and Hadoop is a beginner-level online course offered by Coursera in collaboration with IBM. The course, which can be covered in about 2 weeks, will guide and introduce the learners to Big data with Spark and Hadoop. Introduction to Big Data with Spark and Hadoop Certification Course is part of two different programmes or specializations offered by IBM, namely, IBM Data Engineering Professional Certificate and NoSQL, Big Data, and Spark Foundations Specialization. 

Introduction to Big Data with Spark and Hadoop Training, provided by Coursera, will help the learners to learn Big Data with Hadoop, the implication of Big Data in Big Data Analytics, Resilient Distributed Datasets (RDDs), and many more. Introduction to Big Data with Spark and Hadoop Certification by Coursera demands from the learners 7 weeks of study. The course will provide the candidates with an insight into the  Big Data processing tools and their features, limitations, benefits, and applications. 

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2 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of Big Data Knowledge of Apache Spark
Introduction to Software Programming and Databases

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Certificate

Introduction to Software, Programming, and Databases

2 Weeks
Beginner
1,914
ETL and Data Pipelines with Shell Airflow and Kafka

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Certificate

ETL and Data Pipelines with Shell, Airflow and Kafka

The term ETL describes a set of procedures used to extract data from one system, change it, and load it into a target network. A more general name for any group of operations that transfer data from one system to another, possibly transforming it along the way, is a data pipeline. ETL and Data Pipelines with Shell, Airflow, and Kafka certification course is developed by IBM Skills Network and taught by Yan Luo - Ph.D., Data Scientist & Developer, Jeff Grossman - Certified Instructor, Sabrina Spillner - Senior Instructional Designer & Content Developer, and Ramesh Sannareddy - Data Engineering Expert, which is made available by Coursera. 

ETL and Data Pipelines with Shell, Airflow, and Kafka online training is designed to help the students gain an understanding of the two different approaches to converting raw data into analytics-ready data including the ETL process and ELT process. ETL and Data Pipelines with Shell, Airflow, and Kafka online course explains the differences between ELT and ETL processing, identifies instances for each, and goes over the procedures and tools needed for extracting data, combining it logically or physically, and importing it into data sources.

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2 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of Kafka
Microservices Serverless OpenShift

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IBM via Edx
Certificate

Microservices, Serverless, OpenShift

2 Weeks
Intermediate
Free
Building Deep Learning Models with TensorFlow

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Certificate

Building Deep Learning Models with TensorFlow

In Building Deep Learning Models with TensorFlow course, learners will obtain a hands-on experience with the TensorFlow library as a strong mechanism for the application of Deep Learning to real-world issues. 

The course efficiently combines Machine Learning and Data Science to impart an all-rounder learning on building Deep Learning models. As a part of the IBM AI Engineering Professional Certificate, students will grasp all fundamentals of Machine learning and Deep Learning, including the use of Python. 

Hands-on projects will provide the course takers with essential Data Science skills and unsupervised learning. Candidates will also build, deploy and train their Deep Learning models and adopt various features of the TensorFlow library in them. Since the majority of data in the world is unstructured and unlabelled, shallow neural networks find it difficult to capture structures in data comprising sound, images and texts. 

However, deep networks are capable of performing this function and hence this course has been created to provide an Intermediate Level of knowledge of how to go about it. IBM is a major player in the industry by providing a broad portfolio to its trainees for software development, predictive analytics, and systems management. Its expertise in technology and R&D is incorporated into the course curriculum.

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2 Weeks
Intermediate
1,914
Skills Covered:
Knowledge of deep learning
Full Stack Application Development Project

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IBM via Edx
Certificate

Full Stack Application Development Project

2 Weeks
Intermediate
Free
Application Development using Microservices and Serverless

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Certificate

Application Development using Microservices and Serverless

2 Weeks
Intermediate
1,914
Introduction to Web Development with HTML CSS JavaScript

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Django Application Development with SQL and Databases

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IBM via Edx
Certificate

Django Application Development with SQL and Databases

development. If a substantial amount of information is stored in different databases, either in the cloud or on-premises, web developers will use a language like SQL. Django is a high-level Python web framework that makes it easy to build secure, easy-to-maintain websites quickly. It also allows one to concentrate on writing applications without having to reinvent the wheel. Django Application Development with SQL and Databases certification course is designed by Yan Luo, Ph.D. a data scientist and web developer at IBM Canada, and Rav Ahuja a global program director at IBM, and is presented by Edx.

Django Application Development with SQL and Databases online classes offers two weeks of digital lectures with six to eight hours per week of study and learning resources which are aimed at individuals seeking to learn about the fundamentals of SQL, a programming language for querying data, managing data, as well as the fundamentals of cloud databases, Object-Relational Mapping (ORM), and using Object-Oriented Programming (OOP) languages to deal with databases. Applicants will be introduced to Django, which is a rapid and efficient open-source web framework utilized by developers.

The Django Application Development with SQL and Databases online training is designed to recognize the database and how to model data, and create SQL queries to insert, select, update, and delete data in a database. The aspirant will comprehend the object relationship model (ORM), and integrate bootstrap into the Django framework which creates interactive web pages, as well as the participant, will assess Django to design database-driven apps, including creating and deploying a cloud-based Django application. Learners can select either the free audit track with limited access or upgrade directly to the paid verified track

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2 Weeks
Intermediate
Free
Skills Covered:
Knowledge of cloud computing Web application development skills Knowledge of IBM Framework Knowledge of CSS Knowledge of Python Database knowledge SQL knowledge Programming skills
Introduction to Enterprise Computing

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Certificate

Introduction to Enterprise Computing

1 Weeks
Beginner
Introduction to Cloud Computing

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Certificate

Introduction to Cloud Computing

The Introduction to Cloud computing online course by Coursera has been designed for those who wish to understand the essential characteristics of cloud computing from a business perspective. Students will not only gain foundational knowledge about cloud computing but also learn the necessary skills to become a cloud practitioner. 

The Coursera Introduction to cloud computing training course explores the field of cloud computing by going back to history and also, the cloud-enabled, emerging technology use cases. The course is an introduction to some of the prominent service providers such as Google, IBM, AWS and Microsoft and explores them through case studies. 

Furthermore, the Coursera Introduction to Cloud computing certification course is an online self-paced learning course that allows the students to learn about the various cloud service and deployment models at their own speed and from the comfort of their own homes. Completing this course will earn you a Certificate as well as a cloud computing core IBM digital badge.

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1 Weeks
Beginner
Free
Skills Covered:
Knowledge of cloud computing
Architecting Applications for IBM Z and Cloud

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IBM via Edx
Certificate

Architecting Applications for IBM Z and Cloud

1 Weeks
Beginner
Free
What is Data Science

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Certificate

What is Data Science

The Data Science certification course duration is 1 week. This programme is a beginner-level course and candidates can learn at their own pace with flexibility. The course focuses on providing the fundamentals of data science and its significance in today's data-driven world. Students will gain advice from data science professionals and data scientists.

The certification programme equips the students with Data Science, Big Data, Machine Learning, Deep Learning and Data Mining skills. The Data Science certification by Coursera a foundational understanding of the subject or tool. They will also learn new concepts and gain hands-on projects. The course is taught in English but is also available in 22 other languages.

Also Read: Online Data Science And Machine Learning Courses & Certifications

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1 Weeks
Beginner
1,699
Introduction to Deep Learning and Neural Networks with Keras

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Certificate

Introduction to Deep Learning & Neural Networks with Keras

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems. 

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1 Weeks
Intermediate
1,914
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
Building AI Powered Chatbots without Programming

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Certificate

Building AI Powered Chatbots without Programming

Building AI-Powered Chatbots without programming certification course is offered by IBM and is conducted by Coursera. The programme attracts a vast number of candidates that want to learn to develop Chatbots without any need for coding for it. 

With a rise in the demand for Chatbot, this Coursera programme is ideally a programme that should not be missed by professionals who are aiming to build a career in this field. The programme is flexible in nature so that it can be easily pursued by professionals. Moreover, the course gives a certificate of completion, if the candidate fulfills all the key requirements of the Building AI-Powered Chatbots Without Programming training programme. The course can be of tremendous help in finding job opportunities in top companies across the globe.

The programme will be delivered via videos, pre-recorded content, and practice exercises which will help the candidate in gaining both theoretical as well as practical information on the subject. 

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1 Weeks
Beginner
1,914
Skills Covered:
Computer skills
Software Developer Career Guide and Interview Preparation

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Introduction to Agile Development and Scrum

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Getting Started with Git and GitHub

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Certificate

Getting Started with Git and GitHub

1 Weeks
Beginner
1,914
Data Analyst Career Guide and Interview Preparation

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Certificate

Data Analyst Career Guide and Interview Preparation

1 Weeks
Beginner
48,757

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