Best Free IBM Courses & Certifications - Eligibility, Fees, Syllabus, Career Options

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.

8 Weeks

Beginner

₹ Free

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Skills Covered:

Knowledge of Artificial Intelligence

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.

7 Weeks

Beginner

₹ Free

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Skills Covered:

Data science knowledge Knowledge of Data Visualization

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.

7 Weeks

Beginner

₹ Free

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Skills Covered:

Knowledge of cloud computing Knowledge of Linux

Offered by

IBM via Edx

Certificate

SRE Infrastructure, Resiliency and Deployment Automation

6 Weeks

Intermediate

₹ Free

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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.

6 Weeks

Intermediate

₹ Free

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Skills Covered:

Machine learning Knowledge of deep learning

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 Spark, Hive 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.

6 Weeks

Beginner

₹ Free

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Skills Covered:

Knowledge of Big Data Knowledge of Apache Spark

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.

6 Weeks

Beginner

₹ Free

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Skills Covered:

Data science knowledge

Offered by

IBM via Edx

Certificate

Machine Learning with Python: A Practical Introduction

Machine Learning with Python: A Practical Introduction Certification Course will explore many popular and modern algorithms including Classification, Regression, Clustering, and models such as Train Split, Root Mean Squared Error (RMSE). Also, students will look and learn from genuine and authentic examples of machine learning and see how it affects society in ways you may not have speculated.

Machine learning from the past few years has become an integral part of many commercial applications, software and research projects, yet this field is not exclusive to huge companies and organizations with extensive research teams. If you start to use Python language, even as a beginner, this short-term course will teach you practical ways to write and build your own machine learning solutions and machine learning applications are limited only by your imagination.

The Machine Learning with Python: A Practical Introduction Classes will be useful for the students to create products that parse, reduce, simplify and categorize computer data, and then extract actionable intelligence from that data. Machine Learning with Python: A Practical Introduction Certification Course is offered by EdX in association with IBM. There are two options for pursuing the self-paced programme; verified and free. In the verified mode, the learners can take the self-paced course by paying the fee and get unlimited access and in the free mode, they can audit it for a limited duration.

5 Weeks

Beginner

₹ Free

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Skills Covered:

Machine learning Knowledge of Python

Offered by

IBM via Edx

Certificate

R Programming Basics for Data Science

5 Weeks

Beginner

₹ Free

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Offered by

IBM via Edx

Certificate

NoSQL Database Basics

5 Weeks

Beginner

₹ Free

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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.

5 Weeks

Beginner

₹ Free

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Skills Covered:

Knowledge of Python Decision making skills Machine learning Statistical skills Knowledge of Data Visualization

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.

5 Weeks

Intermediate

₹ Free

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Skills Covered:

Statistical skills Knowledge of deep learning

Offered by

IBM via Coursera

Certificate

Developing Cloud Apps with Node.js and React

The online session on Developing Cloud Apps with Node.js and React by Coursera will be offering an opportunity to the students to work on real-life examples in the domain of developing cloud apps. In the course, the students will be elaborating more on the server-side Javascript and the frameworks that are related to it. Upon completing the Developing Cloud Apps with Node.js and React training the students will have their skills strengthened in developing efficient web browsers. Over the period of fourteen hours the Developing Cloud Apps with Node.js and React certification syllabus will be dealing with topics namely- Working with JSON, Asynchronous I/O with callback programming, IBM cloud monitoring with LogDNA and Sysdig, Testing cloud applications, Creating callback functions, Introduction to logging and others.

5 Weeks

Intermediate

₹ Free

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Skills Covered:

Knowledge of cloud computing

Offered by

IBM via Edx

Certificate

Applied Deep Learning Capstone Project

The Applied Deep Learning Capstone Project certification programme is a five-week-long online course curated by IBM. During this capstone project, you will get practical, hands-on experience in developing, training and testing a Deep Learning model. For this purpose, you will be using either PyTorch or Keras.

edX’s Applied Deep Learning Capstone Project is an advanced-level programme that is also a part of a Deep Learning professional certificate of edX. With the help of this course, you will learn how to preprocess and load data for a real-life problem, create a model and finally validate it.

The Applied Deep Learning Capstone Project programme by edX requires only two to four hours per week to study. You will learn through video lessons and ultimately master the procedure of generating a Deep Learning pipeline. At last, you are required to present a project report to showcase your competence in the domain of Deep Learning. EdX provides two tracks to pursue the self-paced course; verified and free audit. In the former mode, the learners can access the programme unlimited and get a certificate of completion. In the free mode, they can audit it for a limited duration.

5 Weeks

Expert

₹ Free

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Skills Covered:

Statistical skills Data science knowledge Knowledge of deep learning

Offered by

IBM via Edx

Certificate

Using GPUs to Scale and Speed-up Deep Learning

Training sophisticated Deep Learning models takes plenty of time. The Using GPUs to Scale and Speed-up Deep Learning certification programme sheds light on how accelerated hardware like Nvidia GPU (Graphics Processing Unit) or Google’s TPU (Tensor Processing Unit) can be used to shorten computations time on the cloud.

During edX’s Using GPUs to Scale and Speed-up Deep Learning course, you will understand what accelerated GPU-based hardware is and how it can help you overcome scalability challenges in Deep Learning. You will also get familiar with IBM’s Power Systems with Power AI and Nvidia GPU.

The Using GPUs to Scale and Speed-up Deep Learning will also acquaint you with popular Machine Learning dependencies and learnings supported by Power AI. These include Caffe, Theano, Tensorflow and Torch. Lastly, with this course, you will get practical experience of deploying Deep Learning networks on accelerated hardware for numerous problems, such as classifying videos and images.

5 Weeks

Intermediate

₹ Free

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Skills Covered:

Knowledge of Artificial Intelligence Knowledge of deep learning

Offered by

IBM via Edx

Certificate

Deep Learning Fundamentals with Keras

The Deep Learning Fundamentals with Keras online course by edX is designed to familiarise you with the domain of Deep Learning. It is a five-week-long programme, during which you will learn about the basics of various Deep Learning models, the fundamentals of neural networks, and some of the most interesting Deep Learning applications.

Through the Deep Learning Fundamentals with Keras certification course, you will get practical experience, building a Deep Learning model with the powerful and easy-to-use Keras library. Also, you will develop an understanding of unsupervised and supervised Deep Learning models.

The Deep Learning Fundamentals with Keras certification syllabus is divided into four extensive modules. You are required to devote merely two to four hours every week to your studies. As you progress across the modules, you acquire in-depth knowledge of how Keras is used to train, test and build Deep Learning models. Moreover, you will understand how neural networks learn. Upon completion, you can also get the verified certificate and earn a skill badge to showcase your acquired knowledge if you pursue it by paying free. For free, you can get a limited duration of access to the course.

5 Weeks

Intermediate

₹ Free

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Skills Covered:

Knowledge of deep learning

Offered by

IBM via Edx

Certificate

Building ETL and Data Pipelines with Bash, Airflow and Kafka

5 Weeks

Beginner

₹ Free

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Offered by

IBM via Edx

Certificate

Analyzing Data with Excel

The Analyzing Data with Excel certification course is a self-paced 5 weeks online programme that is designed and offered by IBM on the platform of edX. By just focusing on 3-5 hours every week at their own speed, the learners can finish learning. Though the course is initially free, a nominal fee is required in case students wish to upgrade, get unlimited material access, and receive certificates along with verified badges. This is an introductory course that gives applied knowledge, and hands-on practice of lab exercises.

Analyzing Data with Excel training will give knowledge in the in-demand topics required for business. The students will be able to build basic knowledge of different kinds of Excel spreadsheets for performing the fundamental data analysis. This online introductory programme with zero admission prerequisites actually in its syllabus covers the working features of Microsoft Excel that will assist students in analysing their data.

The candidates can select from among the 2 tracks, the audit track and the other, the verified track. If one wants limited but free access their pick can be the audit track and if someone needs unlimited course material access they can upgrade to the paid verified track.

5 Weeks

Beginner

₹ Free

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Skills Covered:

Knowledge of Excel

Offered by

IBM via Edx

Certificate

Introduction to Containers, Kubernetes and OpenShift

After virtualisation, cloud-native and containers are one of the most significant finds of the ITC industry. Several organisations are transitioning to this platform to gain competitive advantage. So, pursuing the Introduction to Containers, Kubernetes and OpenShift certification course will help you leverage this opportunity for personal gains. It is an introductory-level programme for six weeks.

The introduction to containers kubernetes and openshift docker introduction has a self-directed training model. It will allow you to learn at your speed and enhance your employability quotient. After completing this course, you will develop and deploy cloud-native applications effectively. You will understand the difference between containers and virtual machines through the computer science course curriculum.

Furthermore, the Introduction to Containers, Kubernetes and OpenShift training will enable you to take on advanced roles in your organisation. It is also a beneficial programme for an individual who wants to become a cloud practitioner. The course dives into the concepts of how and why containers are important in cloud computing.

5 Weeks

Beginner

₹ Free

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Skills Covered:

Knowledge of cloud computing

Offered by

IBM via Edx

Certificate

Data Analytics Basics for Everyone

5 Weeks

Beginner

₹ Free

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Offered by

IBM via Edx

Certificate

SRE Fundamentals and Security

5 Weeks

Intermediate

₹ Free

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Offered by

IBM via Edx

Certificate

IBM Cloud Essentials

IBM Cloud Essentials certification course covers the basic tenets of IBM cloud. The students in the session will be learning about the many offerings and the services that are available on IBM cloud, making it more secure and accessible to the public along with the enterprises and developers.

IBM Cloud Essentials online course with the introduction of IBM as a platform goes on to cover topics that include- configuring identity, data center locations, and access management. The students will be further discovering the various infrastructure-as-a-service (IaaS) functions that are available on the platform. The programme will also teach the students about the deployment method including- Kubernetes, Containers, and OpenShift. After completing the IBM Cloud Essentials training certification course students will become familiar with services that include- Watson blockchain, databases, blockchain, artificial intelligence, and others. will make the students efficient cloud practitioners and will help them to develop skills as architects.

edX has two separate kinds of tracks which may be opted for by the candidates to complete the course. Both the tracks are self-paced but during the verified track, the candidates may see and learn the course for a lifetime by paying some fee. To access the audit track, nothing is charged but the materials will only be accessible for a certain fixed period.

5 Weeks

Beginner

₹ Free

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Skills Covered:

Knowledge of cloud computing

Offered by

IBM via Edx

Certificate

PyTorch Basics for Machine Learning

The PyTorch Basics for Machine Learning certification programme is offered by IBM to arm you with the skills for implementing classic machine learning algorithms. You will get to know how PyTorch is used to optimise and create deep learning models.

During the PyTorch Basics for Machine Learning training, you will learn important models such as linear and logistic regression models. This introductory-level programme will teach you how to train your models and their related concepts like gradient descent, cost and loss.

With the learnings of edX’s PyTorch Basics for Machine Learning course, you will learn to save your training and model in apps like checkpoints, early stopping and cross-validation for hyperparameter selection. Also, basics around the linear object, like their interaction with data with a distinctive number of samples and different dimensions, will be cleared.

The PyTorch Basics for Machine Learning course also includes a final project in the end to assess your skills and performance. You can even get a paid instructor-signed certification after completing the course. The learners also can audit the self-paced programme without paying the fee for a limited duration.

5 Weeks

Beginner

₹ Free

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Skills Covered:

Machine learning Knowledge of deep learning Knowledge of Numpy

Offered by

IBM via Edx

Certificate

Data Visualization and Building Dashboards with Excel and Cognos

4 Weeks

Beginner

₹ Free

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Offered by

IBM via Edx

Certificate

Visualizing Data with R

4 Weeks

Beginner

₹ Free

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Offered by

IBM via Edx

Certificate

Introduction to Statistics for Data Science using Python

4 Weeks

Beginner

₹ Free

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Offered by

IBM via Edx

Certificate

R Data Science Capstone Project

4 Weeks

Intermediate

₹ Free

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Offered by

IBM via Edx

Certificate

Relational Database Basics

4 Weeks

Beginner

₹ Free

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Offered by

IIT Madras , IBM via Swayam

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.

4 Weeks

₹ Free

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Skills Covered:

Knowledge of physics

Offered by

IBM via Coursera

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.

4 Weeks

Intermediate

₹ Free

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Skills Covered:

Knowledge of deep learning

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