Page 2 - IBM Courses & Certifications 2024 - Free & Paid Online IBM Courses

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

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 Coursera

Certificate

Python for Data Science, AI & Development

Python for Data Science, AI & Development Certification by Coursera will guide candidates through the basics and technical aspects of one of the most popular programming languages which is taught widely in educational institutions due to its relevance in the industry. This course is a perfect start for learning Python for data science and programming in general. It adopts a beginner-friendly pace so anyone willing to know about Python as a programming language can take up the course.

Python for Data Science, AI & Development Certification Syllabus has been designed to train individuals with zero knowledge of programming to master Python in a matter of a few hours. Throughout the course, candidates will learn numerous things like Python fundamentals and data structures and analysis, supported by rich hands-on exercises within the course modules and additional reading material to polish their learnings from the lectures.

By the end of this course, learners will be adept in creating basic programs, solving real-world problems in Python and working with data. This course is well-suited as a free online learning programme for more advanced learning as well wherein professionals with tight schedules can pursue the course at their own pace.

5 Weeks

Beginner

₹ 4,115

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Skills Covered:

Knowledge of Python

Offered by

IBM via Coursera

Certificate

Applied Data Science Capstone

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API.

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee.

5 Weeks

Intermediate

₹ 4,115

Compare

Skills Covered:

Data science knowledge Knowledge of Python

Offered by

IBM via Coursera

Certificate

Data Visualization with Python

The Data Visualisation with Python course, offered by IBM via Coursera, is designed to teach learners how to use Python for creating compelling data visualisations. This course focusses on various Python libraries and tools that are essential for data visualisation, making it suitable for those who want to enhance their data analysis skills. Data Visualisation with Python certification course, offered by IBM has total duration of 20 hours and learners can complete the Data Visualisation with Python certification course at their own pace.

Students will learn the implementation of data visualisation techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story along with generating interactive dashboards, creating different types of charts and others, during the completion of Data Visualisation with Python course, offered by IBM via Coursera. A sharable certificate will be provided. Data Visualisation with Python certification course is available in English and 22 other languages with 11 quizzess and one assignment.

5 Weeks

Intermediate

₹ 4,115

Compare

Skills Covered:

Knowledge of Python Knowledge of Data Visualization

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

Compare

Skills Covered:

Machine learning Knowledge of deep learning Knowledge of Numpy

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

Compare

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

Compare

Skills Covered:

Knowledge of Artificial Intelligence Knowledge of deep learning

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

Compare

Skills Covered:

Statistical skills 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

Compare

Skills Covered:

Knowledge of deep learning

Offered by

IBM via Coursera

Certificate

Introduction to Containers w/ Docker, Kubernetes & OpenShift

The Introduction to Containers programme introduces you to containers and how they differ from virtual machines. The curriculum also covers the significance of containers in cloud computing, along with the proliferating ecosystem of related technologies such as Kubernetes, Docker, Red Hat OpenShift, and Istio.

Throughout the Introduction to Containers course, you will apply what you have learnt with hands-on labs and exercises. From getting started with Docker to scaling and orchestration with Kubernetes, and simplifying deployments with OpenShift, the hands-on labs cover them all. You can access the labs on IBM Cloud and Skills Network Labs environments using your web browser. Moreover, you can access all the programme materials free of cost.

You will also work on a project at the end of the Introduction to Containers programme. In this project, you will construct a container image and scale and deploy it on the cloud using OpenShift. You can also opt for Coursera’s certificate and improve your employability in this field easily, as everyone from small businesses to large MNCs is transitioning to these platforms.

5 Weeks

Intermediate

₹ 4,115

Compare

Skills Covered:

Knowledge of cloud computing

Offered by

IBM via Coursera

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.

5 Weeks

Beginner

Compare

Skills Covered:

Data science knowledge Knowledge of Excel

Offered by

IBM via Coursera

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.

5 Weeks

Intermediate

₹ 4,117

Compare

Skills Covered:

SQL knowledge Web application development skills

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

Compare

Skills Covered:

Knowledge of cloud computing

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

Compare

Skills Covered:

Knowledge of Excel

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

Compare

Skills Covered:

Machine learning Knowledge of Python

Offered by

IBM via Coursera

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.

5 Weeks

Beginner

₹ 3,277

Compare

Skills Covered:

Data science knowledge R Programming

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

Compare

Skills Covered:

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

Offered by

IBM via Coursera

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.

5 Weeks

Intermediate

₹ 4,117

Compare

Skills Covered:

Knowledge of Kafka

Offered by

IBM via Edx

Certificate

Data Analytics Basics for Everyone

5 Weeks

Beginner

₹ Free

Compare

Offered by

IBM via Edx

Certificate

NoSQL Database Basics

5 Weeks

Beginner

₹ Free

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Offered by

IBM via Edx

Certificate

Building ETL and Data Pipelines with Bash, Airflow and Kafka

5 Weeks

Beginner

₹ Free

Compare

Offered by

IBM via Coursera

Certificate

Exploratory Data Analysis for Machine Learning

5 Weeks

Intermediate

₹ 3,277

Compare

Offered by

IBM via Coursera

Certificate

Introduction to NoSQL Databases

5 Weeks

Beginner

₹ 4,117

Compare

Offered by

IBM via Coursera

Certificate

Introduction to Networking and Storage

5 Weeks

Beginner

₹ 4,117

Compare

Offered by

IBM via Edx

Certificate

SRE Fundamentals and Security

5 Weeks

Intermediate

₹ Free

Compare

Offered by

IBM via Edx

Certificate

R Programming Basics for Data Science

5 Weeks

Beginner

₹ Free

Compare

Offered by

IBM via Coursera

Certificate

Cybersecurity Roles, Processes and Operating System Security

Cybersecurity Roles, Processes & Operating System Security programme is offered by IBM with a motive to make the people smarter as the world is getting digital. Through this programme, candidates would understand the key importance of cybersecurity in any organization. They will learn about the challenges faced by the organization in the Modern era and also how to overcome such challenges. The programme is appropriate for the candidates who aspire to work in the field of Cybersecurity as a Jr Cybersecurity Analyst.

The course is inclusive of multiple programmes or specializations. Apart from cybersecurity, Coursera has introduced the concept of virtualization and it’s relevancy for cybersecurity. In 4 weeks, the candidates will have an understanding of Operating System Security and Cybersecurity roles & processes. They will also learn about the working of cybersecurity in different operating systems like Mac/OS, Mobile, Windows, and Linux.

4 Weeks

Beginner

₹ 4,085

Compare

Skills Covered:

Knowledge of Linux

Offered by

IBM via Coursera

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.

4 Weeks

Intermediate

₹ 4,085

Compare

Skills Covered:

Knowledge of deep learning

Offered by

IBM via Coursera

Certificate

Introduction to Artificial Intelligence (AI)

Artificial Intelligence is an emerging field with numerous applications in different domains including science and technology, healthcare and even education. Students irrespective of their educational background are fascinated by the possibilities they can explore in AI. Thus, they need a course that not only confines them to theoretical aspects but also provides them practical exposure and leaves them with novice ideas for building a career.

In Introduction to Artificial Intelligence (AI) Certification by Coursera, course participants, besides getting a basic insight into Artificial Intelligence, will explore various cases and applications of AI. Introduction to Artificial Intelligence (AI) Certification Syllabus shall help them understand the terminology and concepts like deep learning, machine learning and neural networks. It will also provide exposure to out-of-the-book concepts in AI like ethics and bias.

Being a beginner-level course, learners need not possess any computer science or programming expertise beforehand. Anyone with or without a technical background shall acquire skills while studying at their own pace in online mode with flexible deadlines. The Introduction to Artificial Intelligence (AI) certification course is developed by IBM

4 Weeks

Beginner

Compare

Skills Covered:

Machine learning Data science knowledge Knowledge of deep learning Knowledge of Artificial Intelligence

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