Offered by

IBM via Coursera

Certificate

Introduction to Cloud Development with HTML, CSS, JavaScript

The Introduction to Cloud Development with HTML, CSS, JavaScript online course is an IBM-based programme that has been created to help a candidate become a full-fledged cloud application engineer in the future. The Introduction to Cloud Development with HTML, CSS, JavaScript syllabus will focus its curriculum on much of the new-age tools and languages used in the development of cloud-based applications.

The course will cover languages that are used in front-end development such as CSS, HTML and JavaScript and learn tools that are used to keep track of project changes such as GitHub and Git. This certification is a part of multiple programmes namely IBM full-stack cloud developer professional certificate and cloud application development foundations specialization. The Introduction to Cloud Development with HTML, CSS, JavaScript by Coursera is taught by Upkar Lidder, a senior software engineer with the help of IBM resources. The course is in the online Coursera platform and can be completed within a total duration of 13 hours with a flexible schedule.

5 Weeks

Beginner

₹ 3,384

Compare

Skills Covered:

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

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Skills Covered:

Knowledge of cloud computing

Offered by

IBM via Coursera

Certificate

Exploratory Data Analysis for Machine Learning

5 Weeks

Intermediate

₹ 3,277

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Offered by

IBM via Coursera

Certificate

Introduction to Networking and Storage

5 Weeks

Beginner

₹ 4,117

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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

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

₹ 3,384

Compare

Skills Covered:

Knowledge of Python Knowledge of Data Visualization

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

₹ 3,384

Compare

Skills Covered:

Knowledge of Python

Offered by

IBM via Edx

Certificate

R Programming Basics for Data Science

5 Weeks

Beginner

₹ Free

Compare

Offered by

IBM via Coursera

Certificate

Excel Basics for Data Analysis

This Excel Basics for Data Analysis certification course is intended to give students a basic understanding of how to use Excel spreadsheets for data analysis. It goes through some of the fundamentals of dealing with spreadsheets and how to use them in data analysis. The Excel Basics for Data Analysis training contains plenty of learning videos, demonstrations, and illustrations, as well as step-by-step instructions for applying and practicing on a live spreadsheet.

This Excel Basics for Data Analysis certification is appropriate for those interested in pursuing a career in data processing or data science, as well as others who really want to use Excel for data analysis in their own domains. The candidate will gain useful experience cleaning and wrangling data with functions, as well as analyzing data with techniques like filtering, sorting, and constructing pivot tables.

This Excel Basics for Data Analysis online course begins with an overview of spreadsheets such as Microsoft Excel and Google Sheets, as well as data loading from a variety of sources. Following this introduction, they'll learn how to execute some simple data wrangling and cleaning operations, as well as how to use filtering, sorting, and pivot tables inside the spreadsheet to further your understanding of data analysis.

5 Weeks

Beginner

₹ 3,384

Compare

Skills Covered:

Data science knowledge Knowledge of Excel

Offered by

IBM via Edx

Certificate

NoSQL Database Basics

5 Weeks

Beginner

₹ Free

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Offered by

IBM via Coursera

Certificate

Introduction to NoSQL Databases

5 Weeks

Beginner

₹ 4,117

Compare

Offered by

IBM via Coursera

Certificate

Building AI Applications with Watson APIs

The Building AI Applications with Watson APIs programme certification by Coursera will equip the learner with the skills to create applications that can leverage multiple Watson AI services (Discovery, Assistant, Speech to Text, and Text to Speech). They’ll become proficient in incorporating Watson services as well as in building interactive data retrieval systems with Discovery + Assistant.

The Building AI Applications with Watson APIs certification course which is developed by IBM and offered in the Coursera platform, gives the candidates exposure towards learning varied skills namely, Chatbot, Watson AI, Machine Learning, Python Programming and Artificial Intelligence. The programme is imparted through different ways namely videos, assignments, quizzes, recorded content and exercises.

The Building AI Applications with Watson APIs certification by Coursera enables candidates to learn the best practices prevailing in the industry for combining Watson services via Watson Assistant and Watson Discovery.

5 Weeks

Intermediate

₹ 3,202

Compare

Skills Covered:

Computer skills

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

Compare

Skills Covered:

Knowledge of cloud computing

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

₹ 3,384

Compare

Skills Covered:

Data science knowledge Knowledge of Python

Offered by

IBM via Coursera

Certificate

Cybersecurity Compliance Framework & System Administration

In this data-driven world, cybercrimes are not unknown to anybody. Cyber offenders seamlessly carry out crimes beyond jurisdictions and on an online interface that is likely to trap anybody. Thus, cybersecurity mandates prove to be a golden weapon at the hands of companies and organisations with huge and sensitive databases. Cybersecurity professionals need to be a step further than offenders and henceforth require holistic knowledge of concepts.

Cybersecurity Compliance Framework & System Administration Certification by Coursera fulfills that requirement and gives course participants the background to understand industry standards and key cybersecurity compliances. The knowledge provided throughout will prove to be beneficial for learners irrespective of the role they wish to partake in an organisation.

Candidates will get a strong grasp of the basic commands for a user and server administration related to security. Endpoint security and patch management have also been sufficiently dealt with. Finally, learners will know more about the in-depth skills around encryption and cryptography to understand their effect on the software. The intended audience of this Cybersecurity Compliance Framework & System Administration training course comprises those wishing to acquire a basic understanding of Compliance, Security Frameworks, endpoint management, cryptography, or encryption.

5 Weeks

Intermediate

₹ 3,384

Compare

Skills Covered:

Knowledge of Cyber Security

Offered by

IBM via Coursera

Certificate

Introduction to Cybersecurity Tools & Cyber Attacks

The Introduction to Cybersecurity Tools & Cyber Attacks certification course is an online programme that revolves around the topics of cybersecurity. Some of the major topics of the course include terminologies used in cybersecurity, various tools and techniques used in real life, etc. The programme can be availed at zero cost in the audit mode. The course material can be accessed for free along with all the lessons available in the course.

The Introduction to Cybersecurity Tools & Cyber Attacks online course is a beginners' level programme and does not require any specific academic requirements to get started with the course. The self-paced mode allows the user to understand the concepts thoroughly by giving them the power to choose their study timings with no deadlines to learn from the course as per their requirements. The Introduction to Cybersecurity Tools & Cyber Attacks certification syllabus will take up to 11 hours of the students' time to complete the course. The programme is a hundred percent online training and also provides shareable certification at the end of the course.

5 Weeks

Beginner

₹ 3,384

Compare

Skills Covered:

Knowledge of Cyber Security

Offered by

IBM via Coursera

Certificate

Introduction to Deep Learning & Neural Networks with Keras

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

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

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

5 Weeks

Intermediate

₹ 3,369

Compare

Skills Covered:

Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning

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

Compare

Skills Covered:

Machine learning Knowledge of deep learning Knowledge of Numpy

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

₹ 3,384

Compare

Skills Covered:

Knowledge of cloud computing

Offered by

IBM via Edx

Certificate

SRE Fundamentals and Security

5 Weeks

Intermediate

₹ Free

Compare

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

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

Compare

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

Compare

Skills Covered:

Knowledge of deep learning

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

Building ETL and Data Pipelines with Bash, Airflow and Kafka

5 Weeks

Beginner

₹ Free

Compare

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

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 intermediate-level programme for five 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

Intermediate

Compare

Skills Covered:

Knowledge of cloud computing

Offered by

IBM via Coursera

Certificate

Getting Started with Git and GitHub

4 Weeks

Beginner

₹ 4,117

Compare

Offered by

IBM via Coursera

Certificate

Data Visualization with R

The Data Visualization with R online certification, created by IBM Skills Network, is taught by Yiwen Li, a software engineer, Tiffany Zhu, a data scientist, Saishruthi Swaminathan, a data scientist, and developer advocate, and Gabriela de Queiroz, a program director, and it is offered through Coursera, which is intended for learners who want to master the Grammar of Graphics and learn how the ggplot2 data visualization package for R applies to basic bar charts, pie charts, scatter plots, line plots, box plots, and histograms.

Data Visualization with R online classes incorporates 12 hours of learning materials that concentrate on teaching the methods for personalizing charts and plots using themes and talking about the methods for using data visualization for Leaflet. With Data Visualization with R online training, learners will be taught about concepts involved with data science, data visualization, and data analysis as well as acquainted with approaches for building interactive dashboards using the R Shiny package.

4 Weeks

Beginner

₹ 3,277

Compare

Skills Covered:

Data science knowledge R Programming Knowledge of Data Visualization

Offered by

IIT Madras (IITM) , IBM via Swayam +1

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

Compare

Skills Covered:

Knowledge of physics

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