155 Courses and Certifications

IBM Courses & Certifications 2025

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IBM offers a wide range of online certification courses under its initiative, IBM SkillBuild and training programmes. IBM courses provide training for all learners who want to upskill themselves and gain trending skills for career growth. Along with the paid programmes, IBM free courses are also available for learners in partnership with top online learning platforms such as Coursera, edX, and others. 

IBM certification courses are offered in emerging fields like AI, cloud computing, data science, cybersecurity, and blockchain. IBM’s training programmes are designed to provide hands-on experience with industry-relevant tools, ensuring learners gain practical knowledge that aligns with current job market demands. IBM courses are structured to cater to diverse categories of learners from foundational to advanced levels and are beneficial for students as well as working professionals.

IBM Courses: Overview

  • Founded: 1911 (as Computing-Tabulating-Recording Company), renamed IBM in 1924
  • Headquarters: Armonk, New York, USA
  • Global Presence: Operates in over 175 countries
  • Key Focus Areas: AI, Quantum Computing, Cloud Computing, Data Science, Cybersecurity, Blockchain
  • IBM Certifications: Recognised by top employers worldwide
  • Free Learning Initiatives: IBM SkillsBuild, Coursera, edX partnerships
  • Industry Partnerships: Collaborations with Microsoft, SAP, AWS, and more
  • Research & Innovation: Holds the record for most U.S. patents annually for 28+ years

IBM Courses

IBM courses provide the learners with an opportunity to upgrade their skills and develop new potential in a wide variety of high-demand topics and subjects. IBM course list includes IBM free courses with certificate in the areas of Cloud ComputingCyber SecurityData Science, Artificial Intelligence, Machine Learning, Database Management, Deep Learning, DevOps and many more. 

IBM Course Fees

Most of the IBM courses available on the platform, such as IBM SkillsBuild, Coursera, and edX are free of cost, and students have to pay a nominal fee to get their IBM certificate after completion. IBM course fees for paid courses range from Rs. 3,000 to Rs. 15,000, depending on the choice of course level, provider, and others. However, for paid courses, a subscription-based model and financial aid are provided.

Collaborations and Accreditations of IBM Courses

IBM certifications are recognised by global employers and academic bodies. Key collaborations include:

  • Coursera and edX for MOOC-based learning
  • NASSCOM & ICT Academy for skill development in India
  • AWS Educate & Google Cloud for hybrid cloud training

IBM Courses: Industry Partnerships

As IBM works in multiple industries such as aerospace, automotive, education, electronics, healthcare and whatnot, there are a lot of partners around the world who joined hands with IBM in various fields. Some of them are Microsoft Azure, AWS, SAP, Linux Foundation, and Top Universities such as Stanford, MIT for advanced tech programmes.

Types of IBM Courses 

IBM offers online courses and certifications for beginner, intermediate and advanced level students. Plenty of subjects and topics are covered by IBM certification courses and IBM online courses. Some of the major areas in which IBM courses are available are given in the table.

Top Trending Skills to Learn in 2025 with IBM Courses

IBM courses provide cutting-edge skills in high-demand tech fields, making them a valuable investment for career growth. With both IBM free course and certified options, learners can choose programmes that align with their career goals and take advantage.

Career Category
Specialization
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Skills

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Certificate

Hybrid EPGP in Data Science, Business Analytics and Big Data in association with IBM

Hybrid EPGP in Data Science, Business Analytics, and Big Data in association with IBM certification is an 12 months course that is a curated offering of Aegis School of Business & Telecommunication, and IBM together. This course is considered India’s very first data science programme which is high-end in nature. This is usually delivered at the Centre for Excellence in Telecom Technology and Management (CETTM), in Mumbai during the weekdays, and on Sundays, the classes are conducted online hence the name hybrid. Being such a respectful course, the curriculum offers both a mix of elective, and core courses that no other organization usually offers. 

Hybrid EPGP in Data Science, Business Analytics, and Big Data in association with IBM training helps in necessary skill development for building a very successful career in the field of business analytics, and big data. Students after earning the final certification will develop both technical, and quantitative skills for creating social value, and business in different industries. So, if candidates want to participate in one of India’s leading analytical courses with real exposure to different tools, and software, they can definitely participate. 

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12 Months
Skills Covered:
Data science knowledge Business analytics knowledge Knowledge of Big Data
Certificate

Post Graduate Program (PGP/MS) in Applied AI, Machine Learning and Deep Learning in association with IBM

Post Graduate Program (PGP/MS) in Applied AI, Machine Learning, and Deep Learning in association with IBM certification is a programme that is conducted for 11 months on the platform of Aegis who have collaborated with IBM for the final certification. These days the demand for both machine learning, and deep learning is increasing, but to bridge the gap between learning, and the increased demand, this course has been designed thoughtfully.

Post Graduate Program (PGP/MS) in Applied AI, Machine Learning, and Deep Learning in association with IBM training provides a credit facility that is globally acclaimed, and also offers career placement opportunities. The syllabus involving the PDFs, PPT, and video lectures of this programme can be accessed by using either a mobile application or a cloud platform that is world-class. Moreover, meritorious students have the opportunity to seek help in paying the fee with scholarships based on their eligibility.

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11 Months
4,00,000
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
Certificate

Weekend Executive Part Time PGP in Cloud Computing

The Weekend OnCampus Executive Part-Time Post Graduate Program in Cloud Computing in association with IBM certification is an 11 months course that is launch to lessen the gap between the skill supply, and its demand in the industry by Aegis, and IBM. This course is a part-time weekend course that is designed for executives of different fields. Among different information technology fields, cloud computing is one of the most talked-about topics and this course was invented for professionals who could take classes during the weekends. 

Weekend Executive Part-Time PGP in Cloud Computing training helps students to get trained in the areas of business analytics, cloud computing, big data, and mobility. This certification course helps to educate information technology professionals and other career aspirants to build, and then deploy applications of the enterprise in the cloud and their relationship with mobile computing. This programme is generally held at the CETT, Powai campus which also provides a course end valid certification.

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11 Months
Skills Covered:
Knowledge of cloud computing
Post Graduate Program in Data Science

Offered by

IBM via Edology
Certificate

Post Graduate Program in Data Science

The Post Graduate Program in Data Science is a 10-months certification course designed to teach students the fundamentals of data science. The course enables the students to learn how data science plays a very fundamental role in the technological world. The Post Graduate Program in Data Science is offered by Edology in partnership with IBM, Innovation Centre for Education and University.  

The Post Graduate Program in Data Science training covers projects, case studies where candidates would be provided an opportunity to work on the capstone project and the students will be able to structure their learnings about data science and its essential components. Through this certification course, students would gain hands-on learning expertise and would be able to apply these in a wide range of business dimensions. Students would get a certificate from one of the recognised brands within the business domain, IBM, and would have the advantage to learn and showcase their real-life analytical and technical skills through this course. 

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10 Months
1,20,000
Skills Covered:
Knowledge of Data Visualization Data Analysis
Deep Learning and Reinforcement Learning

Offered by

Certificate

Deep Learning and Reinforcement Learning

Deep Learning and Reinforcement Learning Certification by Coursera introduces its learners to two of the most sought-after avenues in Machine Learning-Reinforcement Learning and Deep Learning. The latter is abundantly used to power most of the AI applications that are used on a daily basis. Deep Learning and Reinforcement Learning Certification Syllabus exhaustively cover the theory of neural networks that form the basis of Deep Learning as well as modern architectures concerned with Deep Learning. 

As an intermediate-level course, it serves as the perfect second step for aspiring data scientists interested in getting hands-on experience with both the domains in Machine Learning to learn at their own pace and earn a certification. Delivered by IBM professionals, the course will focus on Reinforcement Learning once learners have developed a few Deep Learning models. Although Reinforcement Learning has only a few practical applications at present, it is coming up as a promising area of research in AI that is expected to become relevant in the coming future. At the end of the course, data scientists will find them to be well acquainted with the learnings provided in the course. They can easily implement them in their workforce and deliver timely solutions.

...Read More
9 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of deep learning
Introduction to Watson AI

Offered by

IBM via Edx
Certificate

Introduction to Watson AI

In the Introduction to Watson AI online course, the applicants will be learning the working principles of using Artificial Intelligence with the help of the mechanisms of IBM Watson. The students will be studying the ways AI works on the IBM platform. The ways of how Watson works with its client will also be covered in the Introduction to Watson AI certification syllabus. 

The Introduction to Watson AI programme will be delivered in 8 weeks time frame. The module will cover important topics and will help the candidates develop an understanding of-  How IBM Watson AI works, Experience and demonstrate AI in action yourself using Watson, Common use cases for AI, Fundamentals of AI and Watson machine learning, and others. For making the course accessible subtitles are available and lecture videos, quizzes, and assignments have been provided. The programme has the provision of self-paced learning.

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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8 Weeks
Beginner
Skills Covered:
Knowledge of Artificial Intelligence
Building Deep Learning Models with TensorFlow

Offered by

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.

...Read More
7 Weeks
Intermediate
3,369
Skills Covered:
Knowledge of deep learning
Tools for Data Science

Offered by

Certificate

Tools for Data Science

Some popular data science tools used today include JupyterLab, RStudio IDE, Jupyter Notebooks, Git, GitHub, and more. Tools for Data Science by Coursera will introduce you to these data science tools and their features.

The Tools for Data Science certification is a part of a series of certification programmes related to data science and can be applied to different specialisations. Over the period of seven weeks, you will learn 18 hours of content in the form of video lessons and will receive extra readings and quizzes. You will have to create a final project at the end of the programme to showcase your skills and proficiency.

The Coursera Tools for Data Science programme is offered by IBM. It is easy to comprehend as it is a beginner-level course with flexible deadlines. You can earn digital badges and a shareable certificate that will help you enhance your resume and can be shared on LinkedIn.

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7 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge R Programming Knowledge of Python
Data Science Tools

Offered by

IBM via Edx
Certificate

Data Science Tools

The Data Science Tools certification course from IBM provides you with a background on popular data science and data visualisation tools, including RStudio IDE, Jupyter Notebooks, and Watson Studio. Learn about the proper usage of each tool and how data scientists utilise these tools today. You will also get to understand what programming languages the data science tools can execute and what limitations and features they possess. 

The seven-week-long Data Science Tools programme is introductory and belongs to the Data Analysis and Statistics domain. Besides, the tools will be hosted in the cloud, and you will learn to follow instructions and test the tools to run simple code in R or Python. For finishing the training, you will complete a final project on IBM Watson Studio with a Jupyter Notebook on Cloud.

Moreover, you must demonstrate your expertise in writing Markdown, preparing a notebook, and sharing your work with peers. This hands-on Data Science Tools training will familiarise you with some of the most in-use, greatest, and latest data science tools. The course curriculum, divided into six modules, allows you to learn through lab sessions, assignments, graded quizzes, practice exercises, and more.  

Learners may choose any track from the two mentioned ones: audit and verified. These tracks are self-paced and offer limited and unlimited accessor audit and verified tracks respectively.

...Read More
7 Weeks
Beginner
Skills Covered:
Data science knowledge Knowledge of Data Visualization
Cybersecurity Roles and Operating System Security

Offered by

IBM via Edx
Certificate

Cybersecurity Roles and Operating System Security

This Cybersecurity Roles and Operating System Security online course gives you the necessary background in essential cybersecurity. You will learn about the roles that system security professionals engage in, from security analysts to chief information security officers (CISO). You will get acquainted with basic system concepts, essential terminologies, and tools of the cybersecurity field through this Cybersecurity Roles and Operating System Security training course.

The Cybersecurity Roles and Operating System Security programme will also cover important operating systems like Windows, Linux, and Mac OS. Finally, the course will touch upon virtualisation and Cloud computing, cloud computing governance, the security it offers, and its benefits. The programme is mentored by Coreen Ryskamp, who is a programme manager with IBM Security Learning Services.

Besides, the Cybersecurity Roles and Operating System Security course also offers a course completion certificate if you opt for the certificate track. Otherwise, you can also audit the training materials for free. The programme spans four weeks and requires about four to eight hours of commitment per week for effective learning. The candidates will be asked to enrol on the course either by choosing the verified track or the audit track. The audit track is free but access is limited to the course materials. Again, if the students want to learn the course and have unlimited access then they may opt for the verified track which is payable.

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7 Weeks
Beginner
Free
Skills Covered:
Knowledge of cloud computing Knowledge of Linux
Unsupervised Machine Learning

Offered by

Certificate

Unsupervised Machine Learning

7 Weeks
Intermediate
3,277
Introduction to Big Data with Spark and Hadoop

Offered by

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 19 hours, 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. 

...Read More
7 Weeks
Intermediate
4,117
Skills Covered:
Knowledge of Big Data Knowledge of Apache Spark
Deep Learning with Python and PyTorch

Offered by

IBM via Edx
Certificate

Deep Learning with Python and PyTorch

Deep Learning with Python and PyTorch by edX is part of a two-part series on developing Deep Learning models using Pytorch. The first course in the series is titled ‘PyTorch Basics for Machine Learning’, and it covers the basics of PyTorch. Hence, you must have completed the first course to understand this programme thoroughly.

Furthermore, the Deep Learning with Python and PyTorch course syllabus aims to teach how to build deep neural networks. You will learn methods such as initialisation, dropout, batch normalisation and different types of optimisers. The programme will further explore concepts like data whitening, deep autoencoders, shallow autoencoders, autoencoder applications, etc. After you are done with all the modules, you can test your skills through the final independent project.

The Deep Learning with Python and PyTorch certification falls under the subject of Data Analysis and Statistics. This is a six-week-long intermediate-level course that will not explain things from scratch. Thus, you must have prior knowledge and interest in the field of machine learning. There are two options to join the programme, namely, verified and free audit. In the verified mode, the learners will have unlimited access to the self-paced course and in the free mode, they will have access only for a limited period. 

...Read More
6 Weeks
Intermediate
Skills Covered:
Machine learning Knowledge of deep learning
Machine Learning with Python

Offered by

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.

...Read More
6 Weeks
Intermediate
3,369
Skills Covered:
Machine learning Knowledge of Python Knowledge of Scikit-Learn
Building AI Powered Chatbots without Programming

Offered by

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. 

...Read More
6 Weeks
Beginner
3,369
Skills Covered:
Computer skills
Data Analysis with Python

Offered by

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. 

...Read More
6 Weeks
Intermediate
3,369
Skills Covered:
Knowledge of Python Data science knowledge Predictive Modeling knowledge Knowledge of Data Visualization
Databases and Structured Query Language for Data Science with Python

Offered by

Certificate

Databases and SQL for Data Science with Python

Databases contain much of the world's data. Structured Query Language or SQL is a robust language used to extract data and communicate with databases. If you are looking to build a career as a data scientist or in a related field, the Databases and SQL for Data Science with Python course is ideal for you. This training will help you understand the SQL language’s foundational and relational database concepts. You will also learn about conducting SQL access in a data science environment. 

The Databases and SQL for Data Science with Python certification syllabus concentrates on practical and hands-on learning. You will have the opportunity to work with real-world data sets, real data science tools, and real databases. There will also be periodic practice and graded quizzes for motivation and evaluation. 

Databases and SQL for Data Science with Python certification does not need any prior knowledge of Python, databases or SQL to join. You will have flexibility with the course material and audit it for free. Upon completion, you can also receive the shareable certificate if you choose to pay for it.

...Read More
6 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge Database Management
Site Reliability Engineers Infrastructure Resiliency and Deployment Automation

Offered by

IBM via Edx
Certificate

SRE Infrastructure, Resiliency and Deployment Automation

6 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.

...Read More
6 Weeks
Beginner
2,480
Skills Covered:
Knowledge of Artificial Intelligence
Introduction to Cloud Computing

Offered by

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.

...Read More
6 Weeks
Beginner
3,369
Skills Covered:
Knowledge of cloud computing
Introduction to Data Science

Offered by

IBM via Edx
Certificate

Introduction to Data Science

In the Introduction to Data Science online course, the students will be getting to learn about the importance and applications of data science and the use of algorithms in it. The course has been designed for six weeks. The online programme on Introduction to Data Science training by edX will be digitally hosted and covered by IBM. 

Imparted by data scientists, this programme will require 3 to 6 hours per week of study. This Introduction to Data Science classes program covers a span of topics that will enable candidates to learn about data science, tools, algorithms and other elements utilised in a business scenario. The programme is pursued online wherein the candidates can enrol as per their convenient schedule. 

Since the programme is taught by data practitioners, candidates will gain the opportunity to learn the importance of data science in present times and in times to come. A most sought-after programme, candidates can also take up other associated programmes such as Data Science Foundations, IBM Data Science and Essential Technologies for Business. Candidates will find 2 tracks to enrol into and finish learning the programme. One is the audit track and the other is the verified track. These tracks can be learned based on one's own schedule but the audit track gives limited access whereas the verified track gives unlimited access to the course materials.

...Read More
6 Weeks
Beginner
Skills Covered:
Data science knowledge
Cybersecurity Capstone Breach Response Case Studies

Offered by

Certificate

Cybersecurity Capstone: Breach Response Case Studies

The use of computer systems to store and share data has led to the threat of cyber-attack and unauthorized access to sensitive data. This has given birth to a new branch in information technology which is named as Cybersecurity. Cybersecurity deals with the practices and processes that are made to protect data, devices, networks, and applications from damage and unofficial access.

The Cybersecurity Capstone: Breach Response Case Studies programme will provide a platform to the candidate, to attain necessary skills to work as a professional research analyst in Cybersecurity. By taking up the course, the participant will be exploring the methodologies related to incident response and the models of the security.

They will be getting insights, to categorise and recognise various important types of attacks and vulnerabilities at their workplace. Also, they will be exploring the breaches that happened in the recent past, to understand the process of identification of the threat and measures taken by the organisation to combat the threat and reduce its risks in future.

The participants will be provided with a project wherein they will be selecting a breach in cyber security, carry out analysis of the timeline of the attack, the effect of an attack on systems, by applying their knowledge and skills. The Cybersecurity Capstone: Breach Response Case Studies training course is for anyone who wants to learn the basics of cybersecurity and gradually attain expertise.  

...Read More
6 Weeks
Beginner
4,115
Skills Covered:
Knowledge of Cyber Security
Supervised Machine Learning Regression

Offered by

Certificate

Supervised Machine Learning: Regression

6 Weeks
Intermediate
3,277
Big Data Hadoop and Spark Basics

Offered by

IBM via Edx
Certificate

Big Data, Hadoop, and Spark Basics

Business organizations now need expert big data professionals to understand customer behaviour out of the complex and unstructured data of pictures, posts, tweets, audio files, videos and satellite images. Edx here presents you with a foundational course to get started with big data and climb up the ladder of a career in the industry. Big Data, Hadoop, and Spark Basics is an introductory computer science course that provides an introductory understanding of big data and its tools. 

Big Data, Hadoop, and Spark Basics Certification, provided by edX, is a beginner-level programme offered by IBM. The online programmes will explore big data processing tools such as Apache SparkHive and Hadoop. Big Data, Hadoop, and Spark Basics Certification by IBM is a 6-week long programme that demands 2-3 hours per week from the learners to devote. The self-paced programme is a free certification programme that can be upgraded to the fullest mode by paying the fee. 

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6 Weeks
Beginner
Free
Skills Covered:
Knowledge of Big Data Knowledge of Apache Spark
Introduction to Data Analytics

Offered by

Certificate

Introduction to Data Analytics

This Introduction to Data Analytics certification course provides a gentle introduction to data analysis principles, the role of a data analyst, and the techniques used to execute everyday tasks. The enrolled candidate will acquire knowledge of the data environment as well as the foundations of data processing, such as data collection and data mining. This Introduction to Data Analytics training in the course would teach students how to tell the difference between a data engineer, data scientist and data analyst. 

They will understand what a data analyst's duties are and what data analysis entails. In order to attain Introduction to Data Analytics certification at the end, the candidate will be able to compile an overview of the data environment, including databases and data warehouses. Following that, students can learn about the key vendors in the data environment and investigate the different technologies available on-premise and in the cloud. 

Continue on this thrilling trip to learn about Hadoop, Hive, and Spark, as well as other big data platforms. The candidate will begin by studying the basics of data collection and how to classify data sources. They'll then learn how to use visualizations and dashboard software to clean, interpret, and distribute the results. All of this culminates in the final assignment, which will assess their understanding of the course content, discuss what it means to be a Data Analyst, and have a real-world application.

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5 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge Knowledge of Excel
Data Analytics Basics for Everyone

Offered by

IBM via Edx
Certificate

Data Analytics Basics for Everyone

5 Weeks
Beginner
Free
Introduction to R Programming for Data Science

Offered by

Certificate

Introduction to R Programming for Data Science

The Introduction to R Programming for Data Science online certification was developed by IBM Skills Network and instructed by Yan Luo, Ph.D., Data Scientist, and Developer and is made available through Coursera and is targeted at individuals who are interested in learning the fundamental ideas behind data science and data analysis operations using the features of R programming. The Introduction to R Programming for Data Science online course teaches individuals about the fundamentals of the R language, including data types, data manipulation methods, and how to carry out basic programming operations.

Introduction to R Programming for Data Science online classes contains 10 hours of video-based study materials that introduce individuals to basic programming concepts, standard data structures, and data manipulation techniques, all with the assistance of the R programming language. Individuals who successfully finish this program will be able to develop a basic program in RStudio, work with data in a data frame or matrix, and complete the final project as professional data analysts utilizing Watson Studio and Jupyter notebooks to gather and evaluate data-driven insights.

...Read More
5 Weeks
Beginner
3,277
Skills Covered:
Data science knowledge R Programming
Analyzing Data with Python

Offered by

IBM via Edx
Certificate

Analyzing Data with Python

Analyzing Data with Python certification course is designed by IBM and taught by Joseph Santarcangelo - PhD., Data Scientist at IBM, which is delivered by edX, which is targeted at the students looking for a comprehensive learning environment that could assist in their mastery of the concepts and methods required to develop the skills necessary for analyzing data with the Python programming language. Students who are interested in enrolling in the Analyzing Data with Python online classes by IBM and edX should be familiar with the fundamentals of programming in Python.

Analyzing Data with Python online training is a 5-week learning program that includes approximately 20 hours of extensive video-based materials that cover topics such as data loading, data manipulation, data preparation, data cleaning, linear regression, data visualization, ridge regression, polynomial regression, and machine learning models. Students who successfully finish the verified version of this program will also receive a skill badge that validates their knowledge and skills. This self-paced programme free course and they learners can upgrade it to the verified mode and get certification by paying the course fee. 

...Read More
5 Weeks
Beginner
Free
Skills Covered:
Knowledge of Python Decision making skills Machine learning Statistical skills Knowledge of Data Visualization
Deep Learning with Tensorflow

Offered by

IBM via Edx
Certificate

Deep Learning with TensorFlow

A considerable amount of the world’s data is unstructured, including text, sound, images, etc. By joining the Deep Learning with TensorFlow certification course, you will learn how Deep Learning can be applied with TensorFlow to this kind of data and solve real-life problems. You will study the main functions, execution pipeline, basic concepts and operations of TensorFlow.

During the 5-week duration of the Deep Learning with TensorFlow online program, you will explore various kinds of Deep Architectures, like Autoencoders, Recurrent Networks, and Convolutional Networks. Also, you will learn how to implement TensorFlow for backpropagation to adjust the biases and weights while training the neural networks.

With the help of edX’s Deep Learning with TensorFlow course, you will learn how TensorFlow can be used in regression, minimizing error functions, curve fitting and classification. The course offers you free access to its contents for a limited duration and you can also get the option to avail of a professional certificate on completion after paying the prescribed fee. 

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5 Weeks
Intermediate
Skills Covered:
Statistical skills Knowledge of deep learning
Developing Applications with SQL, Databases and Django

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Certificate

Developing Applications with SQL, Databases, and Django

Accessing, processing, and presenting data are the essentials of application development. Data is usually stored in databases, either on the cloud or on-premise. Developers need to learn how to access this data via programming languages. The Developing Applications course by edX will help you get comfortable with these programming languages and introduce you to various fundamental database concepts.

The Developing Applications course starts with SQL, a powerful yet simple programming language for managing and querying data. You will also engage in hands-on cloud database experiments. Besides SQL, the course also covers other software like Django, using which you will create a full-blown web app that can persist, present, and process data.

With the Developing Applications programme, you will also learn how to work with databases using object-oriented programming through Object-Relational Mapping (ORM). All the information will be provided through video lectures, assignments, and readings. There’s also a certificate option available if you wish to showcase your skills and advance your career.

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5 Weeks
Intermediate
3,384
Skills Covered:
SQL knowledge Web application development skills

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